An overview of commit and contributor trends.
Timeline
Per Year
Latest commit date: 2021-11-19
| Commits |
218 |
120 |
67 |
17 |
| Contributors |
24 |
13 |
16 |
6 |
| 2021 | 2020 | 2019 | 2018 |
Per Month
Latest commit date: 2021-11-19
| Commits |
28 |
0 |
10 |
7 |
11 |
7 |
44 |
71 |
35 |
5 |
0 |
23 |
17 |
2 |
5 |
8 |
0 |
5 |
16 |
25 |
1 |
7 |
11 |
0 |
| Contributors |
7 |
0 |
5 |
5 |
7 |
3 |
3 |
5 |
5 |
2 |
0 |
2 |
4 |
2 |
3 |
5 |
0 |
3 |
3 |
5 |
1 |
2 |
2 |
0 |
| 2021 11 |
2021 10 |
2021 09 |
2021 08 |
2021 07 |
2021 06 |
2021 05 |
2021 04 |
2021 03 |
2021 02 |
2021 01 |
2020 12 |
2020 11 |
2020 10 |
2020 09 |
2020 08 |
2020 07 |
2020 06 |
2020 05 |
2020 04 |
2020 03 |
2020 02 |
2020 01 |
2019 12 |
Per Week
Latest commit date: 2021-11-19
| Commits |
28 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |
1 |
1 |
1 |
4 |
1 |
0 |
2 |
4 |
0 |
5 |
0 |
0 |
1 |
6 |
0 |
6 |
6 |
5 |
27 |
39 |
15 |
14 |
3 |
12 |
0 |
2 |
21 |
0 |
0 |
0 |
1 |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
17 |
0 |
14 |
1 |
0 |
2 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
0 |
1 |
5 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
2 |
6 |
0 |
0 |
10 |
6 |
1 |
6 |
0 |
12 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
7 |
11 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
| Contributors |
7 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
1 |
1 |
1 |
3 |
1 |
0 |
2 |
3 |
0 |
3 |
0 |
0 |
1 |
3 |
0 |
2 |
2 |
2 |
3 |
2 |
3 |
3 |
2 |
3 |
0 |
2 |
2 |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
0 |
3 |
1 |
0 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
2 |
1 |
0 |
0 |
2 |
3 |
1 |
3 |
0 |
2 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
2 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
| 2021 11 15 |
2021 11 08 |
2021 11 01 |
2021 10 25 |
2021 10 18 |
2021 10 11 |
2021 10 04 |
2021 09 27 |
2021 09 20 |
2021 09 13 |
2021 09 06 |
2021 08 30 |
2021 08 23 |
2021 08 16 |
2021 08 09 |
2021 08 02 |
2021 07 26 |
2021 07 19 |
2021 07 12 |
2021 07 05 |
2021 06 28 |
2021 06 21 |
2021 06 14 |
2021 06 07 |
2021 05 31 |
2021 05 24 |
2021 05 17 |
2021 05 10 |
2021 05 03 |
2021 04 26 |
2021 04 19 |
2021 04 12 |
2021 04 05 |
2021 03 29 |
2021 03 22 |
2021 03 15 |
2021 03 08 |
2021 03 01 |
2021 02 22 |
2021 02 15 |
2021 02 08 |
2021 02 01 |
2021 01 25 |
2021 01 18 |
2021 01 11 |
2021 01 04 |
2020 12 28 |
2020 12 21 |
2020 12 14 |
2020 12 07 |
2020 11 30 |
2020 11 23 |
2020 11 16 |
2020 11 09 |
2020 11 02 |
2020 10 26 |
2020 10 19 |
2020 10 12 |
2020 10 05 |
2020 09 28 |
2020 09 21 |
2020 09 14 |
2020 09 07 |
2020 08 31 |
2020 08 24 |
2020 08 17 |
2020 08 10 |
2020 08 03 |
2020 07 27 |
2020 07 20 |
2020 07 13 |
2020 07 06 |
2020 06 29 |
2020 06 22 |
2020 06 15 |
2020 06 08 |
2020 06 01 |
2020 05 25 |
2020 05 18 |
2020 05 11 |
2020 05 04 |
2020 04 27 |
2020 04 20 |
2020 04 13 |
2020 04 06 |
2020 03 30 |
2020 03 23 |
2020 03 16 |
2020 03 09 |
2020 03 02 |
2020 02 24 |
2020 02 17 |
2020 02 10 |
2020 02 03 |
2020 01 27 |
2020 01 20 |
2020 01 13 |
2020 01 06 |
2019 12 30 |
2019 12 23 |
2019 12 16 |
2019 12 09 |
2019 12 02 |
2019 11 25 |
Per Day
Latest commit date: 2021-11-19
| Commits |
6 |
19 |
0 |
0 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
0 |
4 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
2 |
0 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
2 |
0 |
0 |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
5 |
0 |
0 |
4 |
8 |
2 |
8 |
0 |
0 |
30 |
9 |
0 |
0 |
0 |
8 |
5 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
1 |
2 |
6 |
0 |
0 |
0 |
0 |
0 |
2 |
1 |
0 |
0 |
0 |
0 |
0 |
11 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
2 |
0 |
0 |
10 |
0 |
4 |
5 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
1 |
0 |
0 |
0 |
4 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
9 |
4 |
1 |
0 |
0 |
| Contributors |
2 |
5 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
2 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
2 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
2 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
0 |
0 |
2 |
3 |
2 |
2 |
0 |
0 |
2 |
2 |
0 |
0 |
0 |
2 |
3 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
1 |
2 |
2 |
0 |
0 |
0 |
0 |
0 |
2 |
1 |
0 |
0 |
0 |
0 |
0 |
3 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
2 |
0 |
0 |
2 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
1 |
1 |
0 |
0 |
0 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
2 |
1 |
0 |
0 |
| 2021 11 19 |
2021 11 18 |
2021 11 17 |
2021 11 16 |
2021 11 15 |
2021 11 14 |
2021 11 13 |
2021 11 12 |
2021 11 11 |
2021 11 10 |
2021 11 09 |
2021 11 08 |
2021 11 07 |
2021 11 06 |
2021 11 05 |
2021 11 04 |
2021 11 03 |
2021 11 02 |
2021 11 01 |
2021 10 31 |
2021 10 30 |
2021 10 29 |
2021 10 28 |
2021 10 27 |
2021 10 26 |
2021 10 25 |
2021 10 24 |
2021 10 23 |
2021 10 22 |
2021 10 21 |
2021 10 20 |
2021 10 19 |
2021 10 18 |
2021 10 17 |
2021 10 16 |
2021 10 15 |
2021 10 14 |
2021 10 13 |
2021 10 12 |
2021 10 11 |
2021 10 10 |
2021 10 09 |
2021 10 08 |
2021 10 07 |
2021 10 06 |
2021 10 05 |
2021 10 04 |
2021 10 03 |
2021 10 02 |
2021 10 01 |
2021 09 30 |
2021 09 29 |
2021 09 28 |
2021 09 27 |
2021 09 26 |
2021 09 25 |
2021 09 24 |
2021 09 23 |
2021 09 22 |
2021 09 21 |
2021 09 20 |
2021 09 19 |
2021 09 18 |
2021 09 17 |
2021 09 16 |
2021 09 15 |
2021 09 14 |
2021 09 13 |
2021 09 12 |
2021 09 11 |
2021 09 10 |
2021 09 09 |
2021 09 08 |
2021 09 07 |
2021 09 06 |
2021 09 05 |
2021 09 04 |
2021 09 03 |
2021 09 02 |
2021 09 01 |
2021 08 31 |
2021 08 30 |
2021 08 29 |
2021 08 28 |
2021 08 27 |
2021 08 26 |
2021 08 25 |
2021 08 24 |
2021 08 23 |
2021 08 22 |
2021 08 21 |
2021 08 20 |
2021 08 19 |
2021 08 18 |
2021 08 17 |
2021 08 16 |
2021 08 15 |
2021 08 14 |
2021 08 13 |
2021 08 12 |
2021 08 11 |
2021 08 10 |
2021 08 09 |
2021 08 08 |
2021 08 07 |
2021 08 06 |
2021 08 05 |
2021 08 04 |
2021 08 03 |
2021 08 02 |
2021 08 01 |
2021 07 31 |
2021 07 30 |
2021 07 29 |
2021 07 28 |
2021 07 27 |
2021 07 26 |
2021 07 25 |
2021 07 24 |
2021 07 23 |
2021 07 22 |
2021 07 21 |
2021 07 20 |
2021 07 19 |
2021 07 18 |
2021 07 17 |
2021 07 16 |
2021 07 15 |
2021 07 14 |
2021 07 13 |
2021 07 12 |
2021 07 11 |
2021 07 10 |
2021 07 09 |
2021 07 08 |
2021 07 07 |
2021 07 06 |
2021 07 05 |
2021 07 04 |
2021 07 03 |
2021 07 02 |
2021 07 01 |
2021 06 30 |
2021 06 29 |
2021 06 28 |
2021 06 27 |
2021 06 26 |
2021 06 25 |
2021 06 24 |
2021 06 23 |
2021 06 22 |
2021 06 21 |
2021 06 20 |
2021 06 19 |
2021 06 18 |
2021 06 17 |
2021 06 16 |
2021 06 15 |
2021 06 14 |
2021 06 13 |
2021 06 12 |
2021 06 11 |
2021 06 10 |
2021 06 09 |
2021 06 08 |
2021 06 07 |
2021 06 06 |
2021 06 05 |
2021 06 04 |
2021 06 03 |
2021 06 02 |
2021 06 01 |
2021 05 31 |
2021 05 30 |
2021 05 29 |
2021 05 28 |
2021 05 27 |
2021 05 26 |
2021 05 25 |
2021 05 24 |
2021 05 23 |
2021 05 22 |
2021 05 21 |
2021 05 20 |
2021 05 19 |
2021 05 18 |
2021 05 17 |
2021 05 16 |
2021 05 15 |
2021 05 14 |
2021 05 13 |
2021 05 12 |
2021 05 11 |
2021 05 10 |
2021 05 09 |
2021 05 08 |
2021 05 07 |
2021 05 06 |
2021 05 05 |
2021 05 04 |
2021 05 03 |
2021 05 02 |
2021 05 01 |
2021 04 30 |
2021 04 29 |
2021 04 28 |
2021 04 27 |
2021 04 26 |
2021 04 25 |
2021 04 24 |
2021 04 23 |
2021 04 22 |
2021 04 21 |
2021 04 20 |
2021 04 19 |
2021 04 18 |
2021 04 17 |
2021 04 16 |
2021 04 15 |
2021 04 14 |
2021 04 13 |
2021 04 12 |
2021 04 11 |
2021 04 10 |
2021 04 09 |
2021 04 08 |
2021 04 07 |
2021 04 06 |
2021 04 05 |
2021 04 04 |
2021 04 03 |
2021 04 02 |
2021 04 01 |
2021 03 31 |
2021 03 30 |
2021 03 29 |
2021 03 28 |
2021 03 27 |
2021 03 26 |
2021 03 25 |
2021 03 24 |
2021 03 23 |
2021 03 22 |
2021 03 21 |
2021 03 20 |
2021 03 19 |
2021 03 18 |
2021 03 17 |
2021 03 16 |
2021 03 15 |
2021 03 14 |
2021 03 13 |
2021 03 12 |
2021 03 11 |
2021 03 10 |
2021 03 09 |
2021 03 08 |
2021 03 07 |
2021 03 06 |
2021 03 05 |
2021 03 04 |
2021 03 03 |
2021 03 02 |
2021 03 01 |
2021 02 28 |
2021 02 27 |
2021 02 26 |
2021 02 25 |
2021 02 24 |
2021 02 23 |
2021 02 22 |
2021 02 21 |
2021 02 20 |
2021 02 19 |
2021 02 18 |
2021 02 17 |
2021 02 16 |
2021 02 15 |
2021 02 14 |
2021 02 13 |
2021 02 12 |
2021 02 11 |
2021 02 10 |
2021 02 09 |
2021 02 08 |
2021 02 07 |
2021 02 06 |
2021 02 05 |
2021 02 04 |
2021 02 03 |
2021 02 02 |
2021 02 01 |
2021 01 31 |
2021 01 30 |
2021 01 29 |
2021 01 28 |
2021 01 27 |
2021 01 26 |
2021 01 25 |
2021 01 24 |
2021 01 23 |
2021 01 22 |
2021 01 21 |
2021 01 20 |
2021 01 19 |
2021 01 18 |
2021 01 17 |
2021 01 16 |
2021 01 15 |
2021 01 14 |
2021 01 13 |
2021 01 12 |
2021 01 11 |
2021 01 10 |
2021 01 09 |
2021 01 08 |
2021 01 07 |
2021 01 06 |
2021 01 05 |
2021 01 04 |
2021 01 03 |
2021 01 02 |
2021 01 01 |
2020 12 31 |
2020 12 30 |
2020 12 29 |
2020 12 28 |
2020 12 27 |
2020 12 26 |
2020 12 25 |
2020 12 24 |
2020 12 23 |
2020 12 22 |
2020 12 21 |
2020 12 20 |
2020 12 19 |
2020 12 18 |
2020 12 17 |
2020 12 16 |
2020 12 15 |
2020 12 14 |
2020 12 13 |
2020 12 12 |
2020 12 11 |
2020 12 10 |
2020 12 09 |
2020 12 08 |
2020 12 07 |
2020 12 06 |
2020 12 05 |
2020 12 04 |
2020 12 03 |
2020 12 02 |
2020 12 01 |
2020 11 30 |
2020 11 29 |
2020 11 28 |
2020 11 27 |
2020 11 26 |
2020 11 25 |
2020 11 24 |
2020 11 23 |
2020 11 22 |
2020 11 21 |
2020 11 20 |
Contributors
Recent Contributors (12 = 3 veterans + 9 rookies)
Contributed in past 6 months (a rookie = the first contribution in past year)
No contributors in past 30 days.
Past 31 to 90 days (7):
Past 91 to 180 days (5):
Historical Contributors (38)
Last contributed more than 6 months ago
Contributors Matrix (Per Month)
| Commits (3m) |
Commit Days |
-
|
-
|
7
|
-
|
5
|
5
|
7
|
3
|
3
|
5
|
5
|
2
|
-
|
2
|
4
|
2
|
3
|
5
|
-
|
3
|
3
|
5
|
1
|
2
|
2
|
|
| 59209764+shimomut@users.noreply.github.com | 2 | 19 |
-
|
-
|
|
-
|
|
|
|
-
|
-
|
-
|
-
|
-
|
-
|
|
|
|
|
|
-
|
|
-
|
|
-
|
|
|
| jtbangani@gmail.com | 9 | 2 |
-
|
-
|
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
| chris.king@kilncode.com | 6 | 22 |
-
|
-
|
|
-
|
|
|
-
|
-
|
-
|
-
|
|
-
|
-
|
-
|
-
|
-
|
-
|
|
-
|
-
|
|
|
-
|
-
|
-
|
| fayyadd@amazon.com | 4 | 1 |
-
|
-
|
|
-
|
-
|
-
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| bergmchr@amazon.com | - | 34 |
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| contact@annagruebler.com | - | 1 |
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| kris.tonthat@gmail.com | - | 2 |
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| dcmaddix@gmail.com | - | 1 |
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| pwmiller@amazon.com | - | 1 |
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| shimomut@amazon.com | - | 14 |
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| dehrlich44@gmail.com | - | 3 |
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| chrskn@amazon.com | - | 9 |
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| aboujraf@hotmail.com | - | 1 |
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| 57818169+TRNWWZ@users.noreply.github.com | - | 2 |
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| pogomaniac@hotmail.com | - | 1 |
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| yuyawang@amazon.com | - | 2 |
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| patrizio.giovannotti@centrica.com | - | 2 |
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| rohitmenon83@yahoo.com | - | 1 |
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| wangyi.ethan@gmail.com | - | 1 |
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| akhilraz@gmail.com | - | 6 |
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| 53201563+rvippagunta@users.noreply.github.com | - | 3 |
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| roycraft3@gmail.com | - | 1 |
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| chngyan@amazon.com | - | 6 |
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| yangzju@gmail.com | - | 1 |
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| larryverdi@gmail.com | - | 1 |
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| parzakonis.m@gmail.com | - | 1 |
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| nhira1947@gmail.com | - | 1 |
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| 6349204+akhilrazdan@users.noreply.github.com | - | 3 |
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| akhilz@amazon.com | - | 1 |
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| hyandell@users.noreply.github.com | - | 1 |
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| Commits |
|
|||||||||||||||||||||
| Contributors |
|
50 contributors (422 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
File Updates (per extension) |
|---|---|---|---|---|---|
| 1. | bergmchr@amazon.com | 2020-11-22 | 2021-07-07 | 116 (27%) | md (101), ipynb (87), csv (14), png (10), yaml (5) |
| 2. | cbergman@gmail.com | 2021-03-08 | 2021-07-07 | 56 (13%) | ipynb (75), md (59), png (55), csv (9), yaml (5) |
| 3. | chris.king@kilncode.com | 2019-01-08 | 2021-11-18 | 39 (9%) | ipynb (89), png (85), py (38), csv (22), md (19) |
| 4. | shimomut@amazon.com | 2020-01-28 | 2020-10-30 | 36 (8%) | ipynb (78), png (23), csv (11), py (7), keepme (5) |
| 5. | 59209764+shimomut@users.noreply.github.com | 2020-01-27 | 2021-11-19 | 25 (5%) | ipynb (48), png (38), csv (22), md (16), py (8) |
| 6. | chrskn@amazon.com | 2019-02-04 | 2020-04-29 | 19 (4%) | ipynb (37), png (7), md (6), csv (4), yaml (2) |
| 7. | kris.tonthat@gmail.com | 2021-02-02 | 2021-03-31 | 13 (3%) | png (9), md (7), ipynb (3) |
| 8. | ec2-user@ip-172-31-53-158.ec2.internal | 2020-04-27 | 2020-05-04 | 11 (2%) | py (29), png (16), txt (11), md (10), ipynb (7) |
| 9. | jtbangani@gmail.com | 2021-11-18 | 2021-11-19 | 9 (2%) | ipynb (14), md (4), csv (4), keepme (4), png (2) |
| 10. | chngyan@amazon.com | 2018-11-30 | 2019-03-22 | 9 (2%) | json (7), ipynb (4), py (3), md (1), csv (1) |
| 11. | Yatrie@users.noreply.github.com | 2021-07-23 | 2021-09-17 | 8 (1%) | ipynb (13), md (7), png (4), gitignore (2), zip (2) |
| 12. | akhilraz@gmail.com | 2018-12-04 | 2019-08-15 | 6 (1%) | ipynb (6), json (6), py (2) |
| 13. | athewsey@gmail.com | 2020-08-21 | 2021-07-07 | 5 (1%) | md (5), yaml (3) |
| 14. | hyandell@users.noreply.github.com | 2018-11-23 | 2018-11-23 | 5 (1%) | md (4), (1) |
| 15. | fayyadd@amazon.com | 2021-11-18 | 2021-11-18 | 4 (<1%) | csv (7), ipynb (5), png (5), md (2), keepme (1) |
| 16. | pppimen@amazon.com | 2020-06-17 | 2020-11-03 | 4 (<1%) | md (2), py (2) |
| 17. | dehrlich44@gmail.com | 2020-08-25 | 2020-09-11 | 4 (<1%) | ipynb (13), py (3), md (2) |
| 18. | yuyawang@amazon.com | 2019-10-22 | 2019-10-28 | 4 (<1%) | png (6), ipynb (4), csv (4), py (2), gz (1) |
| 19. | singhada@amazon.com | 2021-11-18 | 2021-11-18 | 3 (<1%) | ipynb (2), csv (2), md (1), keepme (1) |
| 20. | ruinon@amazon.com | 2019-11-19 | 2021-08-27 | 3 (<1%) | ipynb (6), png (2) |
| 21. | patrizio.giovannotti@centrica.com | 2019-10-03 | 2019-10-10 | 3 (<1%) | ipynb (3) |
| 22. | 53201563+rvippagunta@users.noreply.github.com | 2019-07-23 | 2019-08-07 | 3 (<1%) | ipynb (9), json (2) |
| 23. | 6349204+akhilrazdan@users.noreply.github.com | 2018-11-29 | 2018-12-06 | 3 (<1%) | md (3) |
| 24. | chris@gerolamo.lan | 2021-11-18 | 2021-11-18 | 2 (<1%) | ipynb (2) |
| 25. | gruebler@amazon.co.uk | 2021-11-15 | 2021-11-15 | 2 (<1%) | ipynb (6) |
| 26. | peskypotato@protonmail.com | 2021-09-15 | 2021-09-15 | 2 (<1%) | ipynb (3) |
| 27. | thewsey@amazon.com | 2021-08-18 | 2021-08-18 | 2 (<1%) | py (8), ipynb (4), gitignore (1) |
| 28. | rpallelr@amazon.com | 2021-04-24 | 2021-05-05 | 2 (<1%) | ipynb (3) |
| 29. | 3449962+ktonthat@users.noreply.github.com | 2021-04-06 | 2021-04-07 | 2 (<1%) | md (2) |
| 30. | 57818169+TRNWWZ@users.noreply.github.com | 2019-11-22 | 2019-11-27 | 2 (<1%) | ipynb (8), json (1) |
| 31. | marciomocellin@gmail.com | 2021-09-14 | 2021-09-14 | 1 (<1%) | ipynb (1) |
| 32. | patrushev.alexander@gmail.com | 2021-07-26 | 2021-07-26 | 1 (<1%) | ipynb (1) |
| 33. | agrvivek@amazon.com | 2021-07-23 | 2021-07-23 | 1 (<1%) | md (2) |
| 34. | contact@annagruebler.com | 2021-06-13 | 2021-06-13 | 1 (<1%) | md (2) |
| 35. | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal | 2021-04-15 | 2021-04-15 | 1 (<1%) | py (1) |
| 36. | michoara@amazon.fr | 2021-03-16 | 2021-03-16 | 1 (<1%) | png (49), ipynb (2), md (2), csv (1), zip (1) |
| 37. | dcmaddix@gmail.com | 2021-02-10 | 2021-02-10 | 1 (<1%) | ipynb (1), png (1) |
| 38. | pwmiller@amazon.com | 2020-11-27 | 2020-11-27 | 1 (<1%) | ipynb (1) |
| 39. | ec2-user@ip-172-16-164-253.ec2.internal | 2020-09-11 | 2020-09-11 | 1 (<1%) | ipynb (1) |
| 40. | ricardosllm@gmail.com | 2020-08-06 | 2020-08-06 | 1 (<1%) | md (1) |
| 41. | aboujraf@hotmail.com | 2020-03-09 | 2020-03-09 | 1 (<1%) | ipynb (1) |
| 42. | pogomaniac@hotmail.com | 2019-11-22 | 2019-11-22 | 1 (<1%) | yaml (1) |
| 43. | rohitmenon83@yahoo.com | 2019-09-10 | 2019-09-10 | 1 (<1%) | ipynb (2) |
| 44. | wangyi.ethan@gmail.com | 2019-09-10 | 2019-09-10 | 1 (<1%) | png (12), py (2), pyc (2), ipynb (1) |
| 45. | roycraft3@gmail.com | 2019-07-23 | 2019-07-23 | 1 (<1%) | md (1) |
| 46. | yangzju@gmail.com | 2019-02-04 | 2019-02-04 | 1 (<1%) | ipynb (3) |
| 47. | larryverdi@gmail.com | 2019-01-24 | 2019-01-24 | 1 (<1%) | csv (3), ipynb (1) |
| 48. | parzakonis.m@gmail.com | 2019-01-24 | 2019-01-24 | 1 (<1%) | ipynb (1), gitignore (1) |
| 49. | nhira1947@gmail.com | 2018-12-11 | 2018-12-11 | 1 (<1%) | ipynb (1) |
| 50. | akhilz@amazon.com | 2018-12-03 | 2018-12-03 | 1 (<1%) | json (2), ipynb (1), md (1) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 35600 days.
C-median: 7.5
A half of the contributors has more than 7.5 connections, and a half has less than this number.
C-mean: 11.3
An average number of connections a contributor has with other contributors.
C-index: 15.0
There are 15.0 contributors with 15.0 or more connections.
Most Connected Contributors
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | chris.king@kilncode.com | 43 | 39 |
| 2. | 59209764+shimomut@users.noreply.github.com | 37 | 25 |
| 3. | bergmchr@amazon.com | 33 | 116 |
| 4. | cbergman@gmail.com | 30 | 56 |
| 5. | chrskn@amazon.com | 24 | 19 |
| 6. | shimomut@amazon.com | 23 | 36 |
| 7. | Yatrie@users.noreply.github.com | 23 | 8 |
| 8. | chngyan@amazon.com | 21 | 9 |
| 9. | ec2-user@ip-172-31-53-158.ec2.internal | 20 | 11 |
| 10. | jtbangani@gmail.com | 20 | 9 |
| 11. | agrvivek@amazon.com | 19 | 1 |
| 12. | akhilz@amazon.com | 19 | 1 |
| 13. | hyandell@users.noreply.github.com | 15 | 5 |
| 14. | 6349204+akhilrazdan@users.noreply.github.com | 15 | 3 |
| 15. | michoara@amazon.fr | 15 | 1 |
| 16. | roycraft3@gmail.com | 15 | 1 |
| 17. | fayyadd@amazon.com | 12 | 4 |
| 18. | athewsey@gmail.com | 11 | 5 |
| 19. | singhada@amazon.com | 11 | 3 |
| 20. | ricardosllm@gmail.com | 11 | 1 |
| 21. | akhilraz@gmail.com | 9 | 6 |
| 22. | 53201563+rvippagunta@users.noreply.github.com | 9 | 3 |
| 23. | yangzju@gmail.com | 9 | 1 |
| 24. | parzakonis.m@gmail.com | 9 | 1 |
| 25. | 57818169+TRNWWZ@users.noreply.github.com | 8 | 2 |
| 26. | kris.tonthat@gmail.com | 7 | 13 |
| 27. | ruinon@amazon.com | 7 | 3 |
| 28. | nhira1947@gmail.com | 7 | 1 |
| 29. | peskypotato@protonmail.com | 6 | 2 |
| 30. | rpallelr@amazon.com | 6 | 2 |
| 31. | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal | 6 | 1 |
| 32. | dcmaddix@gmail.com | 6 | 1 |
| 33. | aboujraf@hotmail.com | 6 | 1 |
| 34. | dehrlich44@gmail.com | 5 | 4 |
| 35. | larryverdi@gmail.com | 5 | 1 |
| 36. | yuyawang@amazon.com | 4 | 4 |
| 37. | gruebler@amazon.co.uk | 4 | 2 |
| 38. | thewsey@amazon.com | 4 | 2 |
| 39. | marciomocellin@gmail.com | 4 | 1 |
| 40. | pwmiller@amazon.com | 4 | 1 |
| 41. | wangyi.ethan@gmail.com | 4 | 1 |
| 42. | pppimen@amazon.com | 3 | 4 |
| 43. | patrizio.giovannotti@centrica.com | 3 | 3 |
| 44. | 3449962+ktonthat@users.noreply.github.com | 3 | 2 |
| 45. | rohitmenon83@yahoo.com | 3 | 1 |
| 46. | chris@gerolamo.lan | 2 | 2 |
| 47. | patrushev.alexander@gmail.com | 2 | 1 |
| 48. | contact@annagruebler.com | 2 | 1 |
| 49. | ec2-user@ip-172-16-164-253.ec2.internal | 2 | 1 |
| 50. | pogomaniac@hotmail.com | 2 | 1 |
Contributor Dependencies via Shared Files
show graph...
The number on lines shows the number of same files that both persons changed in past 35600 days.
- open 3D force graph
Contributor 1
Contributor 2
# shared files
1.
chris.king@kilncode.com
ec2-user@ip-172-31-53-158.ec2.internal
74 shared files
notebooks/doc/images/img7.png
ml_ops/visualization_blog/lambdas/s3lambda/schema.py
ml_ops/visualization_blog/lambdas/deletepredictor/requirements.txt
ml_ops/visualization_blog/lambdas/createdatasetimportjob/requirements.txt
notebooks/immersion_day/doc/images/img1.png
ml_ops/visualization_blog/lambdas/notify/__init__.py
ml_ops/visualization_blog/lambdas/notify/notify.py
ml_ops/visualization_blog/lambdas/updateresources/__init__.py
notebooks/immersion_day/README.md
notebooks/doc/images/img1.png
ml_ops/visualization_blog/lambdas/updateresources/schemas.py
ml_ops/visualization_blog/shared/python/parameters.py
ml_ops/visualization_blog/lambdas/createdataset/__init__.py
ml_ops/visualization_blog/lambdas/createdatasetgroup/requirements.txt
ml_ops/visualization_blog/shared/python/actions.py
ml_ops/visualization_blog/lambdas/updateresources/update.py
ml_ops/visualization_blog/images/steps.png
ml_ops/visualization_blog/lambdas/createpredictor/__init__.py
ml_ops/visualization_blog/lambdas/deleteforecast/requirements.txt
ml_ops/visualization_blog/lambdas/deleteforecast/common/__init__.py
notebooks/doc/images/img6.png
ml_ops/visualization_blog/lambdas/deletedatasetimport/deletedataset.py
ml_ops/visualization_blog/template.yaml
notebooks/immersion_day/doc/images/img7.png
notebooks/immersion_day/notebooks/eval.ipynb
ml_ops/visualization_blog/lambdas/createforecast/__init__.py
ml_ops/visualization_blog/lambdas/createdatasetimportjob/datasetimport.py
notebooks/doc/images/img5.png
ml_ops/visualization_blog/lambdas/deleteforecast/deleteforecast.py
ml_ops/visualization_blog/testing-data/params.json
ml_ops/visualization_blog/lambdas/createforecast/forecast.py
ml_ops/visualization_blog/lambdas/updateresources/requirements.txt
README.md
notebooks/immersion_day/doc/images/img6.png
ml_ops/visualization_blog/testing-data/params_example.json
ml_ops/visualization_blog/lambdas/deletepredictor/__init__.py
notebooks/immersion_day/data/item-demand-time.csv
notebooks/misc/CloudFormation/ForecastDemo.yaml
notebooks/immersion_day/notebooks/completed/Cleanup.ipynb
notebooks/doc/images/img4.png
ml_ops/visualization_blog/lambdas/createdataset/dataset.py
ml_ops/visualization_blog/lambdas/createdatasetgroup/datasetgroup.py
notebooks/immersion_day/doc/images/img5.png
ml_ops/README.md
notebooks/immersion_day/notebooks/Cleanup.ipynb
ml_ops/visualization_blog/lambdas/createpredictor/requirements.txt
notebooks/immersion_day/data/item-demand-time-validation.csv
ml_ops/visualization_blog/lambdas/deletedatasetimport/requirements.txt
ml_ops/visualization_blog/testing-data/train/item-demand-time.csv
notebooks/immersion_day/doc/images/img4.png
ml_ops/visualization_blog/lambdas/s3lambda/parse.py
ml_ops/visualization_blog/README.md
notebooks/immersion_day/notebooks/completed/Train_Evaluate_Predictors.ipynb
ml_ops/visualization_blog/lambdas/createdatasetimportjob/__init__.py
ml_ops/visualization_blog/shared/python/loader.py
ml_ops/visualization_blog/lambdas/deletepredictor/deletepredictor.py
ml_ops/visualization_blog/lambdas/deleteforecast/__init__.py
ml_ops/visualization_blog/lambdas/deletedatasetimport/__init__.py
notebooks/doc/images/img2.png
notebooks/immersion_day/data/item-demand-time-train.csv
ml_ops/visualization_blog/lambdas/s3lambda/requirements.txt
ml_ops/visualization_blog/lambdas/createforecast/requirements.txt
ml_ops/visualization_blog/images/architecture.png
ml_ops/visualization_blog/images/hor.png
ml_ops/visualization_blog/lambdas/notify/requirements.txt
ml_ops/visualization_blog/lambdas/createpredictor/predictor.py
notebooks/README.md
ml_ops/visualization_blog/lambdas/s3lambda/__init__.py
notebooks/doc/images/img8.png
ml_ops/visualization_blog/lambdas/createdatasetgroup/__init__.py
ml_ops/visualization_blog/lambdas/deleteforecast/common/actions.py
ml_ops/visualization_blog/lambdas/createdataset/requirements.txt
notebooks/immersion_day/doc/images/img2.png
notebooks/immersion_day/notebooks/Train_Evaluate_Predictors.ipynb
2.
chris.king@kilncode.com
michoara@amazon.fr
55 shared files
no_code_workshop/pictures/forecast_import_target_dataset.png
no_code_workshop/pictures/iam-policy.png
no_code_workshop/pictures/prediction_example.png
no_code_workshop/pictures/s3_upload.png
no_code_workshop/pictures/predictor_active.png
no_code_workshop/pictures/iam-trust-relationship.png
no_code_workshop/pictures/api-forecast-provisioning.png
no_code_workshop/pictures/iam_step3.png
no_code_workshop/pictures/forecast_import_dataset_pending.png
no_code_workshop/pictures/forecast_dataset_created.png
no_code_workshop/pictures/predictor_start.png
no_code_workshop/pictures/generate_forecast_pending.png
no_code_workshop/pictures/iam_step2.png
no_code_workshop/forecast-with-api.ipynb
no_code_workshop/pictures/api-datasets.png
no_code_workshop/pictures/s3_bucket_created.png
no_code_workshop/pictures/forecast_start_import.png
no_code_workshop/pictures/s3_upload_selected.png
no_code_workshop/pictures/region_selection.png
README.md
no_code_workshop/forecast-with-console.md
no_code_workshop/pictures/s3_create_bucket_dialog.png
no_code_workshop/pictures/console_forecast.png
no_code_workshop/pictures/api-predictor-active.png
no_code_workshop/pictures/iam_step1.png
no_code_workshop/pictures/s3_create_bucket.png
no_code_workshop/pictures/prediction_lookup.png
no_code_workshop/pictures/predictor_details.png
no_code_workshop/pictures/predictor_train.png
no_code_workshop/pictures/generate_forecast_details.png
no_code_workshop/pictures/forecast_target_dataset_step1.png
no_code_workshop/pictures/predictor_name.png
no_code_workshop/pictures/api-dataset-group.png
no_code_workshop/pictures/s3_upload_completed.png
no_code_workshop/pictures/api-datasets-active.png
no_code_workshop/pictures/forecast_target_dataset_step2.png
no_code_workshop/pictures/forecast_import_dataset_active.png
no_code_workshop/pictures/forecast_landing_page.png
no_code_workshop/pictures/console_s3.png
no_code_workshop/data/electricityusagedata.csv
no_code_workshop/forecast-with-api-completed.ipynb
no_code_workshop/pictures/iam_create_role.png
no_code_workshop/pictures/forecast_dataset_group.png
no_code_workshop/pictures/forecast_dataset_group_step1.png
no_code_workshop/pictures/iam_role_summary.png
no_code_workshop/pictures/console_iam.png
no_code_workshop/pictures/api-predictor-training.png
no_code_workshop/pictures/iam_role_created.png
no_code_workshop/pictures/generate_forecast_start.png
no_code_workshop/pictures/generate_forecast_active.png
no_code_workshop/pictures/data_snippet.png
no_code_workshop/pictures/iam_landing_page.png
no_code_workshop/pictures/predictor_pending.png
no_code_workshop/pictures/api-forecast-active.png
no_code_workshop/data/electricityusagedata.zip
3.
59209764+shimomut@users.noreply.github.com
shimomut@amazon.com
53 shared files
notebooks/common/images/amazon_forecast.png
doc/images/img1.png
notebooks/basic/Tutorial/4.Cleanup.ipynb
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/images/backtest.png
notebooks/basic/Tutorial/1.Getting_Data_Ready.ipynb
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/images/pred_details.png
notebooks/advanced/WhatIf_Analysis/WhatIf_Analysis.ipynb
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/images/data_format.png
doc/images/img2.png
misc/CloudFormation/ForecastDemo.yaml
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/pred_details.png
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/Incorporating_Item_Metadata_Dataset_to_your_Predictor.ipynb
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/data/bike.csv
notebooks/advanced/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb
notebooks/basic/Tutorial/2.Building_Your_Predictor.ipynb
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/images/outline.png
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/data_format.png
notebooks/blog_materials/WhatIf_Analysis_with_RTS_TTS_filling_options/data/product_demand_with_nan.csv
README.md
notebooks/advanced/Compare_Multiple_Models/data/.keepme
notebooks/basic/Tutorial/3.Evaluating_Your_Predictor.ipynb
doc/images/img4.png
notebooks/common/util/__init__.py
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/rts_viz.png
notebooks/advanced/Getting_started_with_DeepAR+/Getting_started_with_DeepAR+.ipynb
doc/images/img5.png
notebooks/advanced/Getting_started_with_DeepAR+/data/.keepme
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/images/import1.png
notebooks/common/images/forecast_workflow.png
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/timestamp.png
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/images/recipes.png
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/recipes.png
notebooks/common/util/fcst_utils.py
notebooks/advanced/Forecast with Cold Start Items/Forecast with Cold Start Items.ipynb
doc/images/img6.png
.gitignore
notebooks/basic/Tutorial/data/.keepme
notebooks/blog_materials/WhatIf_Analysis_with_RTS_TTS_filling_options/What-if Analysis with RTS TTS filling options.ipynb
doc/images/img7.png
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/data/train.csv
notebooks/advanced/Forecast with Cold Start Items/data/test.csv.gz
notebooks/advanced/Forecast with Cold Start Items/data/coldStartTargetData.csv
notebooks/advanced/Forecast with Cold Start Items/data/itemMetaData.csv
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/data/item-meta.csv
doc/images/img8.png
notebooks/common/data/item-demand-time.csv
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/backtest.png
notebooks/common/util/notebook_utils.py
notebooks/advanced/Incorporating_Item_Metadata_Dataset_to_your_Predictor/images/import2.png
notebooks/advanced/Getting_started_with_AutoML/data/.keepme
notebooks/advanced/Compare_Multiple_Models/Compare_Multiple_Models.ipynb
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/outline.png
4.
59209764+shimomut@users.noreply.github.com
bergmchr@amazon.com
36 shared files
notebooks/advanced/Weather_index/data/TTS.csv
notebooks/advanced/Weather_index/0. Preparing location data for Weather Index.ipynb
notebooks/advanced/Item_Level_Accuracy/data/TTS.csv
notebooks/advanced/Weather_index/0. Optional - Preparing location data for Weather Index.ipynb
notebooks/advanced/Item_Level_Accuracy/data/actuals.csv
notebooks/basic/Tutorial/4.Cleanup.ipynb
notebooks/advanced/Weather_index/images/forecast_dimension_location.png
notebooks/advanced/Item_Level_Accuracy/data/bike_backtest_forecasts.csv
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb
notebooks/advanced/Weather_index/data/no_weather_holidays_deeparp.csv
notebooks/advanced/Item_Level_Accuracy/images/backtest.png
notebooks/advanced/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb
README.md
notebooks/advanced/Weather_index/data/taxi_zones/taxi_zones.shx
notebooks/advanced/Weather_index/data/taxi_zones.csv
notebooks/advanced/Weather_index/data/taxi_zones/taxi_zones.shp
notebooks/advanced/Weather_index/1. Training your model with Weather Index.ipynb
notebooks/advanced/Item_Level_Accuracy/images/forecast_steps_overview.png
notebooks/advanced/Weather_index/images/built_in_RTS_Weather_alignment.png
notebooks/advanced/Weather_index/data/taxi_zones/taxi_zones.sbx
notebooks/advanced/Weather_index/images/forecast_steps_overview.png
notebooks/advanced/Weather_index/data/taxi_zones/taxi_zones.shp.xml
notebooks/common/util/fcst_utils.py
notebooks/advanced/Item_Level_Accuracy/images/predictorARN.png
notebooks/advanced/Weather_index/data/taxi_zones/taxi_zones.sbn
notebooks/advanced/Weather_index/data/weather_holidays_deeparp.csv
notebooks/advanced/Item_Level_Accuracy/data/bike_backtest_accuracies.csv
notebooks/advanced/Weather_index/data/taxi_zones/taxi_zones.dbf
notebooks/advanced/Weather_index/images/backtest.png
notebooks/advanced/Item_Level_Accuracy/Item_Level_Accuracy_Using_Bike_Example.ipynb
notebooks/advanced/Item_Level_Accuracy/images/export_backtest_folders.png
notebooks/advanced/Item_Level_Accuracy/images/export_backtest_results.png
notebooks/README.md
notebooks/advanced/Weather_index/images/target_time_series_columns.png
notebooks/advanced/Compare_Multiple_Models/Compare_Multiple_Models.ipynb
notebooks/advanced/Weather_index/data/taxi_zones/taxi_zones.prj
5.
bergmchr@amazon.com
cbergman@gmail.com
32 shared files
workshops/ForecastPipeline_workshop/images/test.md
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workshops/CloudFormationAutomation/forecast-defaults.yaml
workshops/ForecastPipeline_workshop/readme.md
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workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb
6.
59209764+shimomut@users.noreply.github.com
chris.king@kilncode.com
28 shared files
notebooks/Multiple Models Notebook.ipynb
data/cold-start/itemMetaData.csv
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7.
chris.king@kilncode.com
chrskn@amazon.com
25 shared files
data/item-demand-time.csv
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8.
chris.king@kilncode.com
jtbangani@gmail.com
17 shared files
notebooks/basic/Getting_Started/data/taxi-dec2017-jan2019.csv
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notebooks/basic/Upgrading_To_AutoPredictor/UpgradeToAutoPredictor.ipynb
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9.
chris.king@kilncode.com
fayyadd@amazon.com
17 shared files
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notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint1Scores.png
10.
chris.king@kilncode.com
shimomut@amazon.com
15 shared files
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notebooks/advanced/WhatIf_Analysis/WhatIf_Analysis.ipynb
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11.
59209764+shimomut@users.noreply.github.com
Yatrie@users.noreply.github.com
11 shared files
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12.
bergmchr@amazon.com
chris.king@kilncode.com
10 shared files
notebooks/basic/Tutorial/4.Cleanup.ipynb
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb
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13.
cbergman@gmail.com
chris.king@kilncode.com
10 shared files
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14.
59209764+shimomut@users.noreply.github.com
jtbangani@gmail.com
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15.
59209764+shimomut@users.noreply.github.com
57818169+TRNWWZ@users.noreply.github.com
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16.
57818169+TRNWWZ@users.noreply.github.com
chris.king@kilncode.com
8 shared files
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17.
cbergman@gmail.com
59209764+shimomut@users.noreply.github.com
8 shared files
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18.
chris.king@kilncode.com
thewsey@amazon.com
8 shared files
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19.
chrskn@amazon.com
59209764+shimomut@users.noreply.github.com
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20.
bergmchr@amazon.com
shimomut@amazon.com
6 shared files
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21.
cbergman@gmail.com
shimomut@amazon.com
6 shared files
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22.
fayyadd@amazon.com
singhada@amazon.com
6 shared files
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23.
chris.king@kilncode.com
singhada@amazon.com
6 shared files
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24.
chris.king@kilncode.com
chngyan@amazon.com
5 shared files
data/item-demand-time.csv
README.md
setup_forecast_permissions.py
.gitignore
notebooks/Getting_started_with_Forecast.ipynb
25.
chrskn@amazon.com
chngyan@amazon.com
5 shared files
data/item-demand-time.csv
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26.
chris.king@kilncode.com
akhilraz@gmail.com
5 shared files
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27.
59209764+shimomut@users.noreply.github.com
dehrlich44@gmail.com
5 shared files
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28.
akhilraz@gmail.com
chngyan@amazon.com
5 shared files
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notebooks/BikeShareExample.ipynb
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29.
59209764+shimomut@users.noreply.github.com
yuyawang@amazon.com
4 shared files
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30.
chris.king@kilncode.com
yuyawang@amazon.com
4 shared files
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31.
chris.king@kilncode.com
ruinon@amazon.com
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32.
59209764+shimomut@users.noreply.github.com
ec2-user@ip-172-31-53-158.ec2.internal
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33.
59209764+shimomut@users.noreply.github.com
ruinon@amazon.com
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34.
bergmchr@amazon.com
athewsey@gmail.com
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35.
athewsey@gmail.com
cbergman@gmail.com
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36.
chris.king@kilncode.com
gruebler@amazon.co.uk
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37.
Yatrie@users.noreply.github.com
bergmchr@amazon.com
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38.
chngyan@amazon.com
akhilz@amazon.com
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39.
chrskn@amazon.com
akhilraz@gmail.com
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40.
chrskn@amazon.com
53201563+rvippagunta@users.noreply.github.com
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41.
chrskn@amazon.com
yangzju@gmail.com
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42.
akhilraz@gmail.com
53201563+rvippagunta@users.noreply.github.com
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43.
akhilraz@gmail.com
yangzju@gmail.com
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44.
53201563+rvippagunta@users.noreply.github.com
yangzju@gmail.com
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45.
59209764+shimomut@users.noreply.github.com
wangyi.ethan@gmail.com
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46.
chrskn@amazon.com
shimomut@amazon.com
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47.
jtbangani@gmail.com
bergmchr@amazon.com
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48.
jtbangani@gmail.com
cbergman@gmail.com
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49.
chris.king@kilncode.com
Yatrie@users.noreply.github.com
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50.
akhilraz@gmail.com
akhilz@amazon.com
3 shared files
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51.
chris.king@kilncode.com
53201563+rvippagunta@users.noreply.github.com
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54.
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71.
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| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | chris.king@kilncode.com | ec2-user@ip-172-31-53-158.ec2.internal |
74 shared files
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| 2. | chris.king@kilncode.com | michoara@amazon.fr |
55 shared files
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| 3. | 59209764+shimomut@users.noreply.github.com | shimomut@amazon.com |
53 shared files
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| 4. | 59209764+shimomut@users.noreply.github.com | bergmchr@amazon.com |
36 shared files
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| 5. | bergmchr@amazon.com | cbergman@gmail.com |
32 shared files
workshops/ForecastPipeline_workshop/images/test.md workshops/ForecastPipeline_workshop/tts_regular.csv workshops/CloudFormationAutomation/forecast-defaults.yaml workshops/ForecastPipeline_workshop/readme.md notebooks/basic/Tutorial/4.Cleanup.ipynb notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb workshops/pre_POC_workshop/AWS_instructions.md workshops/ForecastPipeline_workshop/tts_erratic.csv notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb workshops/pre_POC_workshop/INSTRUCTOR_instructions.md workshops/ForecastPipeline_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb README.md workshops/pre_POC_workshop/install-forecast-solution.md notebooks/advanced/Weather_index/1. Training your model with Weather Index.ipynb workshops/ForecastPipeline_workshop/install-forecast-solution.md workshops/CloudFormationAutomation/1.Getting_Data_Ready_nytaxi.ipynb notebooks/common/util/fcst_utils.py workshops/README.md workshops/ForecastPipeline_workshop/tts_intermittent.csv workshops/ForecastPipeline_workshop/tts_lumpy.csv workshops/ForecastPipeline_workshop/tts.csv workshops/CloudFormationAutomation/readme.md workshops/pre_POC_workshop/readme.md workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly_template.ipynb notebooks/README.md workshops/ForecastPipeline_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb workshops/ForecastPipeline_workshop/forecast-defaults.yaml ForecastCheatSheet.md workshops/pre_POC_workshop/forecast-defaults.yaml workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_template.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 6. | 59209764+shimomut@users.noreply.github.com | chris.king@kilncode.com |
28 shared files
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| 7. | chris.king@kilncode.com | chrskn@amazon.com |
25 shared files
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| 8. | chris.king@kilncode.com | jtbangani@gmail.com |
17 shared files
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| 9. | chris.king@kilncode.com | fayyadd@amazon.com |
17 shared files
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| 10. | chris.king@kilncode.com | shimomut@amazon.com |
15 shared files
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| 11. | 59209764+shimomut@users.noreply.github.com | Yatrie@users.noreply.github.com |
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| 12. | bergmchr@amazon.com | chris.king@kilncode.com |
10 shared files
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| 13. | cbergman@gmail.com | chris.king@kilncode.com |
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| 14. | 59209764+shimomut@users.noreply.github.com | jtbangani@gmail.com |
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| 15. | 59209764+shimomut@users.noreply.github.com | 57818169+TRNWWZ@users.noreply.github.com |
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notebooks/Multiple Models Notebook.ipynb notebooks/6.Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb notebooks/8.Forecast with Cold Start Items.ipynb notebooks/Cleanup.ipynb notebooks/7.Incorporating_Item_Metadata_Dataset_to_your_Predictor.ipynb notebooks/4. Getting_started_with_DeepAR+.ipynb notebooks/1.Getting_Data_Ready.ipynb notebooks/5. Getting_started_with_AutoML.ipynb |
| 16. | 57818169+TRNWWZ@users.noreply.github.com | chris.king@kilncode.com |
8 shared files
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| 17. | cbergman@gmail.com | 59209764+shimomut@users.noreply.github.com |
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| 18. | chris.king@kilncode.com | thewsey@amazon.com |
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| 19. | chrskn@amazon.com | 59209764+shimomut@users.noreply.github.com |
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| 20. | bergmchr@amazon.com | shimomut@amazon.com |
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| 21. | cbergman@gmail.com | shimomut@amazon.com |
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| 22. | fayyadd@amazon.com | singhada@amazon.com |
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| 23. | chris.king@kilncode.com | singhada@amazon.com |
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| 24. | chris.king@kilncode.com | chngyan@amazon.com |
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| 25. | chrskn@amazon.com | chngyan@amazon.com |
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| 26. | chris.king@kilncode.com | akhilraz@gmail.com |
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| 27. | 59209764+shimomut@users.noreply.github.com | dehrlich44@gmail.com |
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| 28. | akhilraz@gmail.com | chngyan@amazon.com |
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| 29. | 59209764+shimomut@users.noreply.github.com | yuyawang@amazon.com |
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| 30. | chris.king@kilncode.com | yuyawang@amazon.com |
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| 31. | chris.king@kilncode.com | ruinon@amazon.com |
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| 32. | 59209764+shimomut@users.noreply.github.com | ec2-user@ip-172-31-53-158.ec2.internal |
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| 33. | 59209764+shimomut@users.noreply.github.com | ruinon@amazon.com |
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| 34. | bergmchr@amazon.com | athewsey@gmail.com |
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| 35. | athewsey@gmail.com | cbergman@gmail.com |
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| 36. | chris.king@kilncode.com | gruebler@amazon.co.uk |
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| 37. | Yatrie@users.noreply.github.com | bergmchr@amazon.com |
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| 38. | chngyan@amazon.com | akhilz@amazon.com |
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| 39. | chrskn@amazon.com | akhilraz@gmail.com |
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| 40. | chrskn@amazon.com | 53201563+rvippagunta@users.noreply.github.com |
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| 41. | chrskn@amazon.com | yangzju@gmail.com |
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| 42. | akhilraz@gmail.com | 53201563+rvippagunta@users.noreply.github.com |
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| 43. | akhilraz@gmail.com | yangzju@gmail.com |
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| 44. | 53201563+rvippagunta@users.noreply.github.com | yangzju@gmail.com |
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| 45. | 59209764+shimomut@users.noreply.github.com | wangyi.ethan@gmail.com |
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| 46. | chrskn@amazon.com | shimomut@amazon.com |
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| 47. | jtbangani@gmail.com | bergmchr@amazon.com |
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| 48. | jtbangani@gmail.com | cbergman@gmail.com |
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| 49. | chris.king@kilncode.com | Yatrie@users.noreply.github.com |
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| 50. | akhilraz@gmail.com | akhilz@amazon.com |
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| 51. | chris.king@kilncode.com | 53201563+rvippagunta@users.noreply.github.com |
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| 52. | chris.king@kilncode.com | yangzju@gmail.com |
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| 53. | chris.king@kilncode.com | parzakonis.m@gmail.com |
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| 54. | chrskn@amazon.com | parzakonis.m@gmail.com |
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| 55. | bergmchr@amazon.com | rpallelr@amazon.com |
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| 56. | rpallelr@amazon.com | chris.king@kilncode.com |
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| 57. | rpallelr@amazon.com | shimomut@amazon.com |
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| 58. | rpallelr@amazon.com | 59209764+shimomut@users.noreply.github.com |
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| 59. | cbergman@gmail.com | chrskn@amazon.com |
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| 60. | chris.king@kilncode.com | peskypotato@protonmail.com |
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| 61. | 59209764+shimomut@users.noreply.github.com | pppimen@amazon.com |
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| 62. | pppimen@amazon.com | chris.king@kilncode.com |
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| 63. | pppimen@amazon.com | ec2-user@ip-172-31-53-158.ec2.internal |
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| 64. | yuyawang@amazon.com | wangyi.ethan@gmail.com |
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| 65. | 57818169+TRNWWZ@users.noreply.github.com | yuyawang@amazon.com |
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| 66. | 57818169+TRNWWZ@users.noreply.github.com | ruinon@amazon.com |
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| 67. | 57818169+TRNWWZ@users.noreply.github.com | chrskn@amazon.com |
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| 68. | ruinon@amazon.com | chrskn@amazon.com |
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| 69. | bergmchr@amazon.com | kris.tonthat@gmail.com |
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| 70. | cbergman@gmail.com | kris.tonthat@gmail.com |
2 shared files
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb workshops/CloudFormationAutomation/readme.md |
| 71. | dcmaddix@gmail.com | kris.tonthat@gmail.com |
2 shared files
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/mqcnn.png |
| 72. | gruebler@amazon.co.uk | thewsey@amazon.com |
2 shared files
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 73. | gruebler@amazon.co.uk | bergmchr@amazon.com |
2 shared files
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 74. | gruebler@amazon.co.uk | cbergman@gmail.com |
2 shared files
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 75. | thewsey@amazon.com | bergmchr@amazon.com |
2 shared files
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 76. | thewsey@amazon.com | cbergman@gmail.com |
2 shared files
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 77. | 59209764+shimomut@users.noreply.github.com | agrvivek@amazon.com |
2 shared files
README.md notebooks/README.md |
| 78. | 59209764+shimomut@users.noreply.github.com | chngyan@amazon.com |
2 shared files
README.md .gitignore |
| 79. | jtbangani@gmail.com | Yatrie@users.noreply.github.com |
2 shared files
README.md notebooks/README.md |
| 80. | jtbangani@gmail.com | agrvivek@amazon.com |
2 shared files
README.md notebooks/README.md |
| 81. | jtbangani@gmail.com | ec2-user@ip-172-31-53-158.ec2.internal |
2 shared files
README.md notebooks/README.md |
| 82. | jtbangani@gmail.com | shimomut@amazon.com |
2 shared files
README.md notebooks/common/util/fcst_utils.py |
| 83. | chris.king@kilncode.com | agrvivek@amazon.com |
2 shared files
README.md notebooks/README.md |
| 84. | chris.king@kilncode.com | akhilz@amazon.com |
2 shared files
README.md notebooks/Getting_started_with_Forecast.ipynb |
| 85. | Yatrie@users.noreply.github.com | agrvivek@amazon.com |
2 shared files
README.md notebooks/README.md |
| 86. | Yatrie@users.noreply.github.com | cbergman@gmail.com |
2 shared files
README.md notebooks/README.md |
| 87. | Yatrie@users.noreply.github.com | ec2-user@ip-172-31-53-158.ec2.internal |
2 shared files
README.md notebooks/README.md |
| 88. | Yatrie@users.noreply.github.com | shimomut@amazon.com |
2 shared files
README.md .gitignore |
| 89. | Yatrie@users.noreply.github.com | chrskn@amazon.com |
2 shared files
README.md .gitignore |
| 90. | Yatrie@users.noreply.github.com | chngyan@amazon.com |
2 shared files
README.md .gitignore |
| 91. | agrvivek@amazon.com | bergmchr@amazon.com |
2 shared files
README.md notebooks/README.md |
| 92. | agrvivek@amazon.com | cbergman@gmail.com |
2 shared files
README.md notebooks/README.md |
| 93. | agrvivek@amazon.com | ec2-user@ip-172-31-53-158.ec2.internal |
2 shared files
README.md notebooks/README.md |
| 94. | bergmchr@amazon.com | ec2-user@ip-172-31-53-158.ec2.internal |
2 shared files
README.md notebooks/README.md |
| 95. | cbergman@gmail.com | ec2-user@ip-172-31-53-158.ec2.internal |
2 shared files
README.md notebooks/README.md |
| 96. | shimomut@amazon.com | chngyan@amazon.com |
2 shared files
README.md .gitignore |
| 97. | chrskn@amazon.com | akhilz@amazon.com |
2 shared files
README.md notebooks/Getting_started_with_Forecast.ipynb |
| 98. | chris.king@kilncode.com | athewsey@gmail.com |
2 shared files
notebooks/misc/CloudFormation/ForecastDemo.yaml notebooks/README.md |
| 99. | athewsey@gmail.com | ec2-user@ip-172-31-53-158.ec2.internal |
2 shared files
notebooks/misc/CloudFormation/ForecastDemo.yaml notebooks/README.md |
| 100. | bergmchr@amazon.com | contact@annagruebler.com |
2 shared files
ForecastDatasetGuidanceSales.md ForecastCheatSheet.md |
No commits in past 30 days.
7 contributors (28 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
File Updates (per extension) |
|---|---|---|---|---|---|
| 1. | jtbangani@gmail.com | 2021-11-18 | 2021-11-19 | 9 (32%) | ipynb (14), md (4), csv (4), keepme (4), png (2) |
| 2. | chris.king@kilncode.com | 2019-01-08 | 2021-11-18 | 6 (21%) | ipynb (16), csv (9), png (6), md (4), keepme (4) |
| 3. | fayyadd@amazon.com | 2021-11-18 | 2021-11-18 | 4 (14%) | csv (7), ipynb (5), png (5), md (2), keepme (1) |
| 4. | singhada@amazon.com | 2021-11-18 | 2021-11-18 | 3 (10%) | ipynb (2), csv (2), md (1), keepme (1) |
| 5. | 59209764+shimomut@users.noreply.github.com | 2020-01-27 | 2021-11-19 | 2 (7%) | ipynb (3), md (2), csv (2), keepme (1) |
| 6. | chris@gerolamo.lan | 2021-11-18 | 2021-11-18 | 2 (7%) | ipynb (2) |
| 7. | gruebler@amazon.co.uk | 2021-11-15 | 2021-11-15 | 2 (7%) | ipynb (6) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 90 days.
C-median: 4.0
A half of the contributors has more than 4.0 connections, and a half has less than this number.
C-mean: 3.7
An average number of connections a contributor has with other contributors.
C-index: 4.0
There are 4.0 contributors with 4.0 or more connections.
Most Connected Contributors
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | chris.king@kilncode.com | 6 | 6 |
| 2. | fayyadd@amazon.com | 5 | 4 |
| 3. | jtbangani@gmail.com | 4 | 9 |
| 4. | singhada@amazon.com | 4 | 3 |
| 5. | 59209764+shimomut@users.noreply.github.com | 4 | 2 |
| 6. | chris@gerolamo.lan | 2 | 2 |
| 7. | gruebler@amazon.co.uk | 1 | 2 |
Contributor Dependencies via Shared Files
show graph...
The number on lines shows the number of same files that both persons changed in past 90 days.
- open 3D force graph
Contributor 1
Contributor 2
# shared files
1.
chris.king@kilncode.com
jtbangani@gmail.com
17 shared files
notebooks/legacy/Tutorial/3.Evaluating_Your_Predictor.ipynb
notebooks/legacy/Tutorial/2.Building_Your_Predictor.ipynb
notebooks/legacy/Tutorial/4.Cleanup.ipynb
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb
notebooks/basic/Getting_Started/data/taxi-dec2017-jan2019.csv
notebooks/legacy/Getting_started_with_DeepAR+/data/.keepme
notebooks/common/util/fcst_utils.py
notebooks/legacy/Getting_started_with_AutoML/data/.keepme
notebooks/legacy/Getting_started_with_DeepAR+/Getting_started_with_DeepAR+.ipynb
notebooks/README.md
notebooks/basic/Getting_Started/data/.keepme
notebooks/legacy/Tutorial/1.Importing_Your_Data.ipynb
notebooks/legacy/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb
README.md
notebooks/basic/Upgrading_To_AutoPredictor/UpgradeToAutoPredictor.ipynb
notebooks/basic/Getting_Started/data/taxi-feb2019.csv
notebooks/basic/Getting_Started/images/workflow.png
2.
chris.king@kilncode.com
fayyadd@amazon.com
17 shared files
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining/Retraining.ipynb
notebooks/advanced/Item_Level_Explainability/InstrumentData/IM.csv
notebooks/advanced/Item_Level_Explainability/images/ModelLevelScores.png
notebooks/advanced/Retraining/data/elec_data_small_new.csv
notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint2Scores.png
notebooks/advanced/Item_Level_Explainability/images/ItemLevelAggregateAllTimepoints.png
notebooks/advanced/Item_Level_Explainability/InstrumentData/TTS.csv
notebooks/advanced/Retraining/data/elec_data_small_first.csv
notebooks/README.md
notebooks/advanced/Item_Level_Explainability/images/ItemLevelGuitar1AllTimepoints.png
notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint1Scores.png
notebooks/advanced/Item_Level_Explainability/InstrumentData/item_subset.csv
notebooks/advanced/Retraining/data/.keepme
notebooks/advanced/Item_Level_Explainability/InstrumentData/second_item_subset.csv
notebooks/advanced/Item_Level_Explainability/InstrumentData/RTS.csv
3.
59209764+shimomut@users.noreply.github.com
jtbangani@gmail.com
8 shared files
notebooks/advanced/Retraining_AutoPredictor/Retraining.ipynb
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb
notebooks/basic/Upgrading_to_AutoPredictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_new.csv
notebooks/README.md
notebooks/advanced/Retraining_AutoPredictor/data/.keepme
README.md
notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_first.csv
4.
fayyadd@amazon.com
singhada@amazon.com
6 shared files
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining/Retraining.ipynb
notebooks/advanced/Retraining/data/elec_data_small_new.csv
notebooks/advanced/Retraining/data/elec_data_small_first.csv
notebooks/README.md
notebooks/advanced/Retraining/data/.keepme
5.
chris.king@kilncode.com
singhada@amazon.com
6 shared files
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining/Retraining.ipynb
notebooks/advanced/Retraining/data/elec_data_small_new.csv
notebooks/advanced/Retraining/data/elec_data_small_first.csv
notebooks/README.md
notebooks/advanced/Retraining/data/.keepme
6.
chris.king@kilncode.com
gruebler@amazon.co.uk
4 shared files
workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi_weekly.ipynb
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb
workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi.ipynb
7.
59209764+shimomut@users.noreply.github.com
chris.king@kilncode.com
3 shared files
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb
notebooks/README.md
README.md
8.
chris.king@kilncode.com
chris@gerolamo.lan
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb
9.
fayyadd@amazon.com
chris@gerolamo.lan
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb
10.
59209764+shimomut@users.noreply.github.com
fayyadd@amazon.com
1 shared file
notebooks/README.md
11.
59209764+shimomut@users.noreply.github.com
singhada@amazon.com
1 shared file
notebooks/README.md
12.
jtbangani@gmail.com
fayyadd@amazon.com
1 shared file
notebooks/README.md
13.
jtbangani@gmail.com
singhada@amazon.com
1 shared file
notebooks/README.md
| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | chris.king@kilncode.com | jtbangani@gmail.com |
17 shared files
notebooks/legacy/Tutorial/3.Evaluating_Your_Predictor.ipynb notebooks/legacy/Tutorial/2.Building_Your_Predictor.ipynb notebooks/legacy/Tutorial/4.Cleanup.ipynb notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb notebooks/basic/Getting_Started/data/taxi-dec2017-jan2019.csv notebooks/legacy/Getting_started_with_DeepAR+/data/.keepme notebooks/common/util/fcst_utils.py notebooks/legacy/Getting_started_with_AutoML/data/.keepme notebooks/legacy/Getting_started_with_DeepAR+/Getting_started_with_DeepAR+.ipynb notebooks/README.md notebooks/basic/Getting_Started/data/.keepme notebooks/legacy/Tutorial/1.Importing_Your_Data.ipynb notebooks/legacy/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb README.md notebooks/basic/Upgrading_To_AutoPredictor/UpgradeToAutoPredictor.ipynb notebooks/basic/Getting_Started/data/taxi-feb2019.csv notebooks/basic/Getting_Started/images/workflow.png |
| 2. | chris.king@kilncode.com | fayyadd@amazon.com |
17 shared files
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Item_Level_Explainability/InstrumentData/IM.csv notebooks/advanced/Item_Level_Explainability/images/ModelLevelScores.png notebooks/advanced/Retraining/data/elec_data_small_new.csv notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint2Scores.png notebooks/advanced/Item_Level_Explainability/images/ItemLevelAggregateAllTimepoints.png notebooks/advanced/Item_Level_Explainability/InstrumentData/TTS.csv notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/README.md notebooks/advanced/Item_Level_Explainability/images/ItemLevelGuitar1AllTimepoints.png notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint1Scores.png notebooks/advanced/Item_Level_Explainability/InstrumentData/item_subset.csv notebooks/advanced/Retraining/data/.keepme notebooks/advanced/Item_Level_Explainability/InstrumentData/second_item_subset.csv notebooks/advanced/Item_Level_Explainability/InstrumentData/RTS.csv |
| 3. | 59209764+shimomut@users.noreply.github.com | jtbangani@gmail.com |
8 shared files
notebooks/advanced/Retraining_AutoPredictor/Retraining.ipynb notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb notebooks/basic/Upgrading_to_AutoPredictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_new.csv notebooks/README.md notebooks/advanced/Retraining_AutoPredictor/data/.keepme README.md notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_first.csv |
| 4. | fayyadd@amazon.com | singhada@amazon.com |
6 shared files
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Retraining/data/elec_data_small_new.csv notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/README.md notebooks/advanced/Retraining/data/.keepme |
| 5. | chris.king@kilncode.com | singhada@amazon.com |
6 shared files
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Retraining/data/elec_data_small_new.csv notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/README.md notebooks/advanced/Retraining/data/.keepme |
| 6. | chris.king@kilncode.com | gruebler@amazon.co.uk |
4 shared files
workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi_weekly.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi.ipynb |
| 7. | 59209764+shimomut@users.noreply.github.com | chris.king@kilncode.com |
3 shared files
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb notebooks/README.md README.md |
| 8. | chris.king@kilncode.com | chris@gerolamo.lan |
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb |
| 9. | fayyadd@amazon.com | chris@gerolamo.lan |
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb |
| 10. | 59209764+shimomut@users.noreply.github.com | fayyadd@amazon.com |
1 shared file
notebooks/README.md |
| 11. | 59209764+shimomut@users.noreply.github.com | singhada@amazon.com |
1 shared file
notebooks/README.md |
| 12. | jtbangani@gmail.com | fayyadd@amazon.com |
1 shared file
notebooks/README.md |
| 13. | jtbangani@gmail.com | singhada@amazon.com |
1 shared file
notebooks/README.md |
12 contributors (45 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
|---|---|---|---|---|
| 1. | chris.king@kilncode.com | 2019-01-08 | 2021-11-18 | 9 (20%) |
| 2. | jtbangani@gmail.com | 2021-11-18 | 2021-11-19 | 9 (20%) |
| 3. | Yatrie@users.noreply.github.com | 2021-07-23 | 2021-09-17 | 5 (11%) |
| 4. | 59209764+shimomut@users.noreply.github.com | 2020-01-27 | 2021-11-19 | 4 (8%) |
| 5. | fayyadd@amazon.com | 2021-11-18 | 2021-11-18 | 4 (8%) |
| 6. | singhada@amazon.com | 2021-11-18 | 2021-11-18 | 3 (6%) |
| 7. | ruinon@amazon.com | 2019-11-19 | 2021-08-27 | 2 (4%) |
| 8. | chris@gerolamo.lan | 2021-11-18 | 2021-11-18 | 2 (4%) |
| 9. | gruebler@amazon.co.uk | 2021-11-15 | 2021-11-15 | 2 (4%) |
| 10. | peskypotato@protonmail.com | 2021-09-15 | 2021-09-15 | 2 (4%) |
| 11. | thewsey@amazon.com | 2021-08-18 | 2021-08-18 | 2 (4%) |
| 12. | marciomocellin@gmail.com | 2021-09-14 | 2021-09-14 | 1 (2%) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 180 days.
C-median: 2.0
A half of the contributors has more than 2.0 connections, and a half has less than this number.
C-mean: 3.3
An average number of connections a contributor has with other contributors.
C-index: 4.0
There are 4.0 contributors with 4.0 or more connections.
Most Connected Contributors
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | chris.king@kilncode.com | 9 | 9 |
| 2. | 59209764+shimomut@users.noreply.github.com | 5 | 4 |
| 3. | fayyadd@amazon.com | 5 | 4 |
| 4. | jtbangani@gmail.com | 4 | 9 |
| 5. | singhada@amazon.com | 4 | 3 |
| 6. | Yatrie@users.noreply.github.com | 2 | 5 |
| 7. | chris@gerolamo.lan | 2 | 2 |
| 8. | gruebler@amazon.co.uk | 2 | 2 |
| 9. | peskypotato@protonmail.com | 2 | 2 |
| 10. | thewsey@amazon.com | 2 | 2 |
| 11. | marciomocellin@gmail.com | 2 | 1 |
| 12. | ruinon@amazon.com | 1 | 2 |
Contributor Dependencies via Shared Files
show graph...
The number on lines shows the number of same files that both persons changed in past 180 days.
- open 3D force graph
Contributor 1
Contributor 2
# shared files
1.
chris.king@kilncode.com
jtbangani@gmail.com
17 shared files
notebooks/legacy/Tutorial/3.Evaluating_Your_Predictor.ipynb
notebooks/legacy/Tutorial/2.Building_Your_Predictor.ipynb
notebooks/legacy/Tutorial/4.Cleanup.ipynb
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb
notebooks/legacy/Getting_started_with_DeepAR+/data/.keepme
notebooks/common/util/fcst_utils.py
notebooks/basic/Getting_Started/data/.keepme
README.md
notebooks/basic/Getting_Started/images/workflow.png
notebooks/basic/Getting_Started/data/taxi-dec2017-jan2019.csv
notebooks/legacy/Getting_started_with_AutoML/data/.keepme
notebooks/legacy/Getting_started_with_DeepAR+/Getting_started_with_DeepAR+.ipynb
notebooks/README.md
notebooks/legacy/Tutorial/1.Importing_Your_Data.ipynb
notebooks/legacy/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb
notebooks/basic/Upgrading_To_AutoPredictor/UpgradeToAutoPredictor.ipynb
notebooks/basic/Getting_Started/data/taxi-feb2019.csv
2.
chris.king@kilncode.com
fayyadd@amazon.com
17 shared files
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb
notebooks/advanced/Retraining/Retraining.ipynb
notebooks/advanced/Item_Level_Explainability/InstrumentData/IM.csv
notebooks/advanced/Retraining/data/elec_data_small_new.csv
notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint2Scores.png
notebooks/advanced/Item_Level_Explainability/InstrumentData/TTS.csv
notebooks/advanced/Item_Level_Explainability/InstrumentData/item_subset.csv
notebooks/advanced/Item_Level_Explainability/InstrumentData/second_item_subset.csv
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Item_Level_Explainability/images/ModelLevelScores.png
notebooks/advanced/Item_Level_Explainability/images/ItemLevelAggregateAllTimepoints.png
notebooks/advanced/Retraining/data/elec_data_small_first.csv
notebooks/README.md
notebooks/advanced/Item_Level_Explainability/images/ItemLevelGuitar1AllTimepoints.png
notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint1Scores.png
notebooks/advanced/Retraining/data/.keepme
notebooks/advanced/Item_Level_Explainability/InstrumentData/RTS.csv
3.
59209764+shimomut@users.noreply.github.com
jtbangani@gmail.com
8 shared files
notebooks/advanced/Retraining_AutoPredictor/Retraining.ipynb
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb
notebooks/basic/Upgrading_to_AutoPredictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_new.csv
notebooks/advanced/Retraining_AutoPredictor/data/.keepme
README.md
notebooks/README.md
notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_first.csv
4.
chris.king@kilncode.com
thewsey@amazon.com
8 shared files
workshops/pre_POC_workshop/local_util/distributed.py
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb
workshops/pre_POC_workshop/.gitignore
workshops/pre_POC_workshop/local_util/analysis.py
workshops/pre_POC_workshop/local_util/__init__.py
workshops/pre_POC_workshop/local_util/dataprep.py
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb
workshops/pre_POC_workshop/local_util/plotting.py
5.
fayyadd@amazon.com
singhada@amazon.com
6 shared files
notebooks/advanced/Retraining/Retraining.ipynb
notebooks/advanced/Retraining/data/elec_data_small_new.csv
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining/data/elec_data_small_first.csv
notebooks/README.md
notebooks/advanced/Retraining/data/.keepme
6.
chris.king@kilncode.com
singhada@amazon.com
6 shared files
notebooks/advanced/Retraining/Retraining.ipynb
notebooks/advanced/Retraining/data/elec_data_small_new.csv
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining/data/elec_data_small_first.csv
notebooks/README.md
notebooks/advanced/Retraining/data/.keepme
7.
59209764+shimomut@users.noreply.github.com
Yatrie@users.noreply.github.com
6 shared files
.gitignore
notebooks/advanced/Clustering_Preprocessing/02. Time Series Clustering Using DTW KMeans.ipynb
notebooks/advanced/Clustering_Preprocessing/README.md
notebooks/advanced/Clustering_Preprocessing/tslearn_attribution.md
notebooks/advanced/Clustering_Preprocessing/01. Optional - Data Cleaning and Preparation.ipynb
notebooks/advanced/Clustering_Preprocessing/data/df_pivoted.zip
8.
chris.king@kilncode.com
gruebler@amazon.co.uk
4 shared files
workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi_weekly.ipynb
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb
workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi.ipynb
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb
9.
59209764+shimomut@users.noreply.github.com
chris.king@kilncode.com
3 shared files
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb
README.md
notebooks/README.md
10.
gruebler@amazon.co.uk
thewsey@amazon.com
2 shared files
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb
11.
Yatrie@users.noreply.github.com
ruinon@amazon.com
2 shared files
notebooks/advanced/Item_Level_Accuracy/Item_Level_Accuracy_Using_Bike_Example.ipynb
notebooks/advanced/Item_Level_Accuracy/images/export_backtest_results.png
12.
chris.king@kilncode.com
peskypotato@protonmail.com
2 shared files
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb
notebooks/basic/Tutorial/3.Evaluating_Your_Predictor.ipynb
13.
chris.king@kilncode.com
chris@gerolamo.lan
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb
14.
fayyadd@amazon.com
chris@gerolamo.lan
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb
15.
chris.king@kilncode.com
marciomocellin@gmail.com
1 shared file
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb
16.
peskypotato@protonmail.com
marciomocellin@gmail.com
1 shared file
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb
17.
59209764+shimomut@users.noreply.github.com
fayyadd@amazon.com
1 shared file
notebooks/README.md
18.
59209764+shimomut@users.noreply.github.com
singhada@amazon.com
1 shared file
notebooks/README.md
19.
jtbangani@gmail.com
fayyadd@amazon.com
1 shared file
notebooks/README.md
20.
jtbangani@gmail.com
singhada@amazon.com
1 shared file
notebooks/README.md
| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | chris.king@kilncode.com | jtbangani@gmail.com |
17 shared files
notebooks/legacy/Tutorial/3.Evaluating_Your_Predictor.ipynb notebooks/legacy/Tutorial/2.Building_Your_Predictor.ipynb notebooks/legacy/Tutorial/4.Cleanup.ipynb notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb notebooks/legacy/Getting_started_with_DeepAR+/data/.keepme notebooks/common/util/fcst_utils.py notebooks/basic/Getting_Started/data/.keepme README.md notebooks/basic/Getting_Started/images/workflow.png notebooks/basic/Getting_Started/data/taxi-dec2017-jan2019.csv notebooks/legacy/Getting_started_with_AutoML/data/.keepme notebooks/legacy/Getting_started_with_DeepAR+/Getting_started_with_DeepAR+.ipynb notebooks/README.md notebooks/legacy/Tutorial/1.Importing_Your_Data.ipynb notebooks/legacy/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb notebooks/basic/Upgrading_To_AutoPredictor/UpgradeToAutoPredictor.ipynb notebooks/basic/Getting_Started/data/taxi-feb2019.csv |
| 2. | chris.king@kilncode.com | fayyadd@amazon.com |
17 shared files
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Item_Level_Explainability/InstrumentData/IM.csv notebooks/advanced/Retraining/data/elec_data_small_new.csv notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint2Scores.png notebooks/advanced/Item_Level_Explainability/InstrumentData/TTS.csv notebooks/advanced/Item_Level_Explainability/InstrumentData/item_subset.csv notebooks/advanced/Item_Level_Explainability/InstrumentData/second_item_subset.csv notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Item_Level_Explainability/images/ModelLevelScores.png notebooks/advanced/Item_Level_Explainability/images/ItemLevelAggregateAllTimepoints.png notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/README.md notebooks/advanced/Item_Level_Explainability/images/ItemLevelGuitar1AllTimepoints.png notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint1Scores.png notebooks/advanced/Retraining/data/.keepme notebooks/advanced/Item_Level_Explainability/InstrumentData/RTS.csv |
| 3. | 59209764+shimomut@users.noreply.github.com | jtbangani@gmail.com |
8 shared files
notebooks/advanced/Retraining_AutoPredictor/Retraining.ipynb notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb notebooks/basic/Upgrading_to_AutoPredictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_new.csv notebooks/advanced/Retraining_AutoPredictor/data/.keepme README.md notebooks/README.md notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_first.csv |
| 4. | chris.king@kilncode.com | thewsey@amazon.com |
8 shared files
workshops/pre_POC_workshop/local_util/distributed.py workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/.gitignore workshops/pre_POC_workshop/local_util/analysis.py workshops/pre_POC_workshop/local_util/__init__.py workshops/pre_POC_workshop/local_util/dataprep.py workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb workshops/pre_POC_workshop/local_util/plotting.py |
| 5. | fayyadd@amazon.com | singhada@amazon.com |
6 shared files
notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Retraining/data/elec_data_small_new.csv notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/README.md notebooks/advanced/Retraining/data/.keepme |
| 6. | chris.king@kilncode.com | singhada@amazon.com |
6 shared files
notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Retraining/data/elec_data_small_new.csv notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/README.md notebooks/advanced/Retraining/data/.keepme |
| 7. | 59209764+shimomut@users.noreply.github.com | Yatrie@users.noreply.github.com |
6 shared files
.gitignore notebooks/advanced/Clustering_Preprocessing/02. Time Series Clustering Using DTW KMeans.ipynb notebooks/advanced/Clustering_Preprocessing/README.md notebooks/advanced/Clustering_Preprocessing/tslearn_attribution.md notebooks/advanced/Clustering_Preprocessing/01. Optional - Data Cleaning and Preparation.ipynb notebooks/advanced/Clustering_Preprocessing/data/df_pivoted.zip |
| 8. | chris.king@kilncode.com | gruebler@amazon.co.uk |
4 shared files
workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi_weekly.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 9. | 59209764+shimomut@users.noreply.github.com | chris.king@kilncode.com |
3 shared files
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb README.md notebooks/README.md |
| 10. | gruebler@amazon.co.uk | thewsey@amazon.com |
2 shared files
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 11. | Yatrie@users.noreply.github.com | ruinon@amazon.com |
2 shared files
notebooks/advanced/Item_Level_Accuracy/Item_Level_Accuracy_Using_Bike_Example.ipynb notebooks/advanced/Item_Level_Accuracy/images/export_backtest_results.png |
| 12. | chris.king@kilncode.com | peskypotato@protonmail.com |
2 shared files
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb notebooks/basic/Tutorial/3.Evaluating_Your_Predictor.ipynb |
| 13. | chris.king@kilncode.com | chris@gerolamo.lan |
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb |
| 14. | fayyadd@amazon.com | chris@gerolamo.lan |
1 shared file
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb |
| 15. | chris.king@kilncode.com | marciomocellin@gmail.com |
1 shared file
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb |
| 16. | peskypotato@protonmail.com | marciomocellin@gmail.com |
1 shared file
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb |
| 17. | 59209764+shimomut@users.noreply.github.com | fayyadd@amazon.com |
1 shared file
notebooks/README.md |
| 18. | 59209764+shimomut@users.noreply.github.com | singhada@amazon.com |
1 shared file
notebooks/README.md |
| 19. | jtbangani@gmail.com | fayyadd@amazon.com |
1 shared file
notebooks/README.md |
| 20. | jtbangani@gmail.com | singhada@amazon.com |
1 shared file
notebooks/README.md |
24 contributors (218 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
|---|---|---|---|---|
| 1. | bergmchr@amazon.com | 2020-11-22 | 2021-07-07 | 87 (39%) |
| 2. | cbergman@gmail.com | 2021-03-08 | 2021-07-07 | 56 (25%) |
| 3. | kris.tonthat@gmail.com | 2021-02-02 | 2021-03-31 | 13 (5%) |
| 4. | chris.king@kilncode.com | 2019-01-08 | 2021-11-18 | 10 (4%) |
| 5. | jtbangani@gmail.com | 2021-11-18 | 2021-11-19 | 9 (4%) |
| 6. | Yatrie@users.noreply.github.com | 2021-07-23 | 2021-09-17 | 8 (3%) |
| 7. | 59209764+shimomut@users.noreply.github.com | 2020-01-27 | 2021-11-19 | 5 (2%) |
| 8. | fayyadd@amazon.com | 2021-11-18 | 2021-11-18 | 4 (1%) |
| 9. | singhada@amazon.com | 2021-11-18 | 2021-11-18 | 3 (1%) |
| 10. | athewsey@gmail.com | 2020-08-21 | 2021-07-07 | 2 (<1%) |
| 11. | ruinon@amazon.com | 2019-11-19 | 2021-08-27 | 2 (<1%) |
| 12. | chris@gerolamo.lan | 2021-11-18 | 2021-11-18 | 2 (<1%) |
| 13. | gruebler@amazon.co.uk | 2021-11-15 | 2021-11-15 | 2 (<1%) |
| 14. | peskypotato@protonmail.com | 2021-09-15 | 2021-09-15 | 2 (<1%) |
| 15. | thewsey@amazon.com | 2021-08-18 | 2021-08-18 | 2 (<1%) |
| 16. | rpallelr@amazon.com | 2021-04-24 | 2021-05-05 | 2 (<1%) |
| 17. | 3449962+ktonthat@users.noreply.github.com | 2021-04-06 | 2021-04-07 | 2 (<1%) |
| 18. | marciomocellin@gmail.com | 2021-09-14 | 2021-09-14 | 1 (<1%) |
| 19. | patrushev.alexander@gmail.com | 2021-07-26 | 2021-07-26 | 1 (<1%) |
| 20. | agrvivek@amazon.com | 2021-07-23 | 2021-07-23 | 1 (<1%) |
| 21. | contact@annagruebler.com | 2021-06-13 | 2021-06-13 | 1 (<1%) |
| 22. | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal | 2021-04-15 | 2021-04-15 | 1 (<1%) |
| 23. | michoara@amazon.fr | 2021-03-16 | 2021-03-16 | 1 (<1%) |
| 24. | dcmaddix@gmail.com | 2021-02-10 | 2021-02-10 | 1 (<1%) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 365 days.
C-median: 4.0
A half of the contributors has more than 4.0 connections, and a half has less than this number.
C-mean: 6.6
An average number of connections a contributor has with other contributors.
C-index: 8.0
There are 8.0 contributors with 8.0 or more connections.
Most Connected Contributors
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | bergmchr@amazon.com | 20 | 87 |
| 2. | cbergman@gmail.com | 20 | 56 |
| 3. | chris.king@kilncode.com | 15 | 10 |
| 4. | Yatrie@users.noreply.github.com | 11 | 8 |
| 5. | jtbangani@gmail.com | 10 | 9 |
| 6. | 59209764+shimomut@users.noreply.github.com | 10 | 5 |
| 7. | fayyadd@amazon.com | 9 | 4 |
| 8. | agrvivek@amazon.com | 9 | 1 |
| 9. | singhada@amazon.com | 8 | 3 |
| 10. | michoara@amazon.fr | 7 | 1 |
| 11. | kris.tonthat@gmail.com | 4 | 13 |
| 12. | gruebler@amazon.co.uk | 4 | 2 |
| 13. | peskypotato@protonmail.com | 4 | 2 |
| 14. | thewsey@amazon.com | 4 | 2 |
| 15. | marciomocellin@gmail.com | 4 | 1 |
| 16. | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal | 4 | 1 |
| 17. | 3449962+ktonthat@users.noreply.github.com | 3 | 2 |
| 18. | dcmaddix@gmail.com | 3 | 1 |
| 19. | athewsey@gmail.com | 2 | 2 |
| 20. | chris@gerolamo.lan | 2 | 2 |
| 21. | rpallelr@amazon.com | 2 | 2 |
| 22. | patrushev.alexander@gmail.com | 2 | 1 |
| 23. | contact@annagruebler.com | 2 | 1 |
| 24. | ruinon@amazon.com | 1 | 2 |
Contributor Dependencies via Shared Files
show graph...
The number on lines shows the number of same files that both persons changed in past 365 days.
- open 3D force graph
Contributor 1
Contributor 2
# shared files
1.
chris.king@kilncode.com
michoara@amazon.fr
55 shared files
no_code_workshop/pictures/prediction_lookup.png
no_code_workshop/pictures/forecast_import_target_dataset.png
no_code_workshop/pictures/predictor_details.png
no_code_workshop/pictures/predictor_train.png
no_code_workshop/pictures/generate_forecast_details.png
no_code_workshop/pictures/forecast_target_dataset_step1.png
no_code_workshop/pictures/iam-policy.png
no_code_workshop/pictures/prediction_example.png
no_code_workshop/pictures/s3_upload.png
no_code_workshop/pictures/predictor_name.png
no_code_workshop/pictures/predictor_active.png
no_code_workshop/pictures/iam-trust-relationship.png
no_code_workshop/pictures/api-forecast-provisioning.png
no_code_workshop/pictures/iam_step3.png
no_code_workshop/pictures/forecast_import_dataset_pending.png
no_code_workshop/pictures/api-dataset-group.png
no_code_workshop/pictures/s3_upload_completed.png
no_code_workshop/pictures/api-datasets-active.png
no_code_workshop/pictures/forecast_target_dataset_step2.png
no_code_workshop/pictures/forecast_dataset_created.png
no_code_workshop/pictures/forecast_import_dataset_active.png
no_code_workshop/pictures/predictor_start.png
no_code_workshop/pictures/generate_forecast_pending.png
no_code_workshop/pictures/forecast_landing_page.png
no_code_workshop/pictures/console_s3.png
no_code_workshop/data/electricityusagedata.csv
no_code_workshop/forecast-with-api-completed.ipynb
no_code_workshop/pictures/iam_step2.png
no_code_workshop/forecast-with-api.ipynb
no_code_workshop/pictures/api-datasets.png
no_code_workshop/pictures/iam_create_role.png
no_code_workshop/pictures/forecast_dataset_group.png
no_code_workshop/pictures/s3_bucket_created.png
no_code_workshop/pictures/forecast_start_import.png
no_code_workshop/pictures/forecast_dataset_group_step1.png
no_code_workshop/pictures/iam_role_summary.png
no_code_workshop/pictures/s3_upload_selected.png
no_code_workshop/pictures/console_iam.png
no_code_workshop/pictures/region_selection.png
no_code_workshop/pictures/api-predictor-training.png
no_code_workshop/pictures/iam_role_created.png
no_code_workshop/pictures/generate_forecast_start.png
no_code_workshop/pictures/generate_forecast_active.png
README.md
no_code_workshop/pictures/data_snippet.png
no_code_workshop/forecast-with-console.md
no_code_workshop/pictures/iam_landing_page.png
no_code_workshop/pictures/s3_create_bucket_dialog.png
no_code_workshop/pictures/console_forecast.png
no_code_workshop/pictures/api-predictor-active.png
no_code_workshop/pictures/predictor_pending.png
no_code_workshop/pictures/iam_step1.png
no_code_workshop/pictures/api-forecast-active.png
no_code_workshop/data/electricityusagedata.zip
no_code_workshop/pictures/s3_create_bucket.png
2.
bergmchr@amazon.com
cbergman@gmail.com
31 shared files
workshops/ForecastPipeline_workshop/images/test.md
workshops/ForecastPipeline_workshop/install-forecast-solution.md
workshops/ForecastPipeline_workshop/tts_regular.csv
workshops/CloudFormationAutomation/forecast-defaults.yaml
workshops/CloudFormationAutomation/1.Getting_Data_Ready_nytaxi.ipynb
workshops/ForecastPipeline_workshop/readme.md
notebooks/basic/Tutorial/4.Cleanup.ipynb
notebooks/common/util/fcst_utils.py
workshops/README.md
notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb
workshops/ForecastPipeline_workshop/tts_intermittent.csv
workshops/ForecastPipeline_workshop/tts_lumpy.csv
workshops/pre_POC_workshop/AWS_instructions.md
workshops/ForecastPipeline_workshop/tts_erratic.csv
workshops/ForecastPipeline_workshop/tts.csv
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb
workshops/CloudFormationAutomation/readme.md
workshops/pre_POC_workshop/INSTRUCTOR_instructions.md
workshops/pre_POC_workshop/readme.md
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly_template.ipynb
workshops/ForecastPipeline_workshop/1.Getting_Data_Ready_nytaxi.ipynb
notebooks/README.md
workshops/ForecastPipeline_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb
README.md
workshops/ForecastPipeline_workshop/forecast-defaults.yaml
ForecastCheatSheet.md
workshops/pre_POC_workshop/forecast-defaults.yaml
workshops/pre_POC_workshop/install-forecast-solution.md
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_template.ipynb
workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb
3.
chris.king@kilncode.com
jtbangani@gmail.com
17 shared files
notebooks/legacy/Getting_started_with_DeepAR+/data/.keepme
notebooks/basic/Getting_Started/images/workflow.png
notebooks/basic/Getting_Started/data/taxi-dec2017-jan2019.csv
notebooks/legacy/Getting_started_with_AutoML/data/.keepme
notebooks/legacy/Getting_started_with_DeepAR+/Getting_started_with_DeepAR+.ipynb
notebooks/basic/Upgrading_To_AutoPredictor/UpgradeToAutoPredictor.ipynb
notebooks/basic/Getting_Started/data/taxi-feb2019.csv
notebooks/legacy/Tutorial/2.Building_Your_Predictor.ipynb
notebooks/common/util/fcst_utils.py
notebooks/legacy/Tutorial/4.Cleanup.ipynb
notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb
notebooks/README.md
notebooks/legacy/Tutorial/1.Importing_Your_Data.ipynb
notebooks/legacy/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb
notebooks/legacy/Tutorial/3.Evaluating_Your_Predictor.ipynb
notebooks/basic/Getting_Started/data/.keepme
README.md
4.
chris.king@kilncode.com
fayyadd@amazon.com
17 shared files
notebooks/advanced/Item_Level_Explainability/InstrumentData/TTS.csv
notebooks/advanced/Item_Level_Explainability/images/ModelLevelScores.png
notebooks/advanced/Item_Level_Explainability/InstrumentData/IM.csv
notebooks/advanced/Item_Level_Explainability/InstrumentData/item_subset.csv
notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb
notebooks/advanced/Retraining/data/elec_data_small_first.csv
notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb
notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint2Scores.png
notebooks/advanced/Item_Level_Explainability/images/ItemLevelAggregateAllTimepoints.png
notebooks/README.md
notebooks/advanced/Retraining/data/.keepme
notebooks/advanced/Retraining/Retraining.ipynb
notebooks/advanced/Retraining/data/elec_data_small_new.csv
notebooks/advanced/Item_Level_Explainability/InstrumentData/second_item_subset.csv
notebooks/advanced/Item_Level_Explainability/images/ItemLevelGuitar1AllTimepoints.png
notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint1Scores.png
notebooks/advanced/Item_Level_Explainability/InstrumentData/RTS.csv
5.
59209764+shimomut@users.noreply.github.com
Yatrie@users.noreply.github.com
9 shared files
notebooks/advanced/Clustering_Preprocessing/data/df_pivoted.csv.zip
notebooks/advanced/Clustering_Preprocessing/tslearn_attribution.md
notebooks/advanced/Clustering_Preprocessing/data/df_pivoted.zip
.gitignore
notebooks/advanced/Clustering_Preprocessing/02. Time Series Clustering Using DTW KMeans.ipynb
notebooks/advanced/Clustering_Preprocessing/README.md
notebooks/README.md
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59209764+shimomut@users.noreply.github.com
jtbangani@gmail.com
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notebooks/advanced/Retraining_AutoPredictor/Retraining.ipynb
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7.
chris.king@kilncode.com
thewsey@amazon.com
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8.
chris.king@kilncode.com
bergmchr@amazon.com
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9.
chris.king@kilncode.com
cbergman@gmail.com
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10.
fayyadd@amazon.com
singhada@amazon.com
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11.
chris.king@kilncode.com
singhada@amazon.com
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12.
chris.king@kilncode.com
gruebler@amazon.co.uk
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13.
jtbangani@gmail.com
bergmchr@amazon.com
3 shared files
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14.
jtbangani@gmail.com
cbergman@gmail.com
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15.
59209764+shimomut@users.noreply.github.com
chris.king@kilncode.com
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notebooks/README.md
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16.
bergmchr@amazon.com
athewsey@gmail.com
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17.
athewsey@gmail.com
cbergman@gmail.com
3 shared files
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workshops/pre_POC_workshop/readme.md
workshops/pre_POC_workshop/install-forecast-solution.md
18.
bergmchr@amazon.com
contact@annagruebler.com
2 shared files
ForecastDatasetGuidanceSales.md
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19.
bergmchr@amazon.com
rpallelr@amazon.com
2 shared files
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20.
chris.king@kilncode.com
peskypotato@protonmail.com
2 shared files
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21.
bergmchr@amazon.com
kris.tonthat@gmail.com
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notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb
workshops/CloudFormationAutomation/readme.md
22.
cbergman@gmail.com
kris.tonthat@gmail.com
2 shared files
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb
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23.
dcmaddix@gmail.com
kris.tonthat@gmail.com
2 shared files
notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb
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24.
Yatrie@users.noreply.github.com
ruinon@amazon.com
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notebooks/advanced/Item_Level_Accuracy/Item_Level_Accuracy_Using_Bike_Example.ipynb
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59209764+shimomut@users.noreply.github.com
agrvivek@amazon.com
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59209764+shimomut@users.noreply.github.com
bergmchr@amazon.com
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27.
59209764+shimomut@users.noreply.github.com
cbergman@gmail.com
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28.
jtbangani@gmail.com
Yatrie@users.noreply.github.com
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29.
jtbangani@gmail.com
agrvivek@amazon.com
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chris.king@kilncode.com
Yatrie@users.noreply.github.com
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chris.king@kilncode.com
agrvivek@amazon.com
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Yatrie@users.noreply.github.com
agrvivek@amazon.com
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Yatrie@users.noreply.github.com
bergmchr@amazon.com
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34.
Yatrie@users.noreply.github.com
cbergman@gmail.com
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35.
agrvivek@amazon.com
bergmchr@amazon.com
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36.
agrvivek@amazon.com
cbergman@gmail.com
2 shared files
notebooks/README.md
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37.
gruebler@amazon.co.uk
thewsey@amazon.com
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workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb
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38.
gruebler@amazon.co.uk
bergmchr@amazon.com
2 shared files
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39.
gruebler@amazon.co.uk
cbergman@gmail.com
2 shared files
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40.
thewsey@amazon.com
bergmchr@amazon.com
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41.
thewsey@amazon.com
cbergman@gmail.com
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42.
rpallelr@amazon.com
cbergman@gmail.com
1 shared file
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43.
chris.king@kilncode.com
ec2-user@ip-172-16-21-227.eu-west-1.compute.internal
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44.
jtbangani@gmail.com
ec2-user@ip-172-16-21-227.eu-west-1.compute.internal
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45.
bergmchr@amazon.com
ec2-user@ip-172-16-21-227.eu-west-1.compute.internal
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46.
cbergman@gmail.com
ec2-user@ip-172-16-21-227.eu-west-1.compute.internal
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47.
chris.king@kilncode.com
marciomocellin@gmail.com
1 shared file
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48.
peskypotato@protonmail.com
marciomocellin@gmail.com
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49.
peskypotato@protonmail.com
bergmchr@amazon.com
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50.
peskypotato@protonmail.com
cbergman@gmail.com
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51.
marciomocellin@gmail.com
bergmchr@amazon.com
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52.
marciomocellin@gmail.com
cbergman@gmail.com
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53.
59209764+shimomut@users.noreply.github.com
patrushev.alexander@gmail.com
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54.
Yatrie@users.noreply.github.com
patrushev.alexander@gmail.com
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55.
chris.king@kilncode.com
chris@gerolamo.lan
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56.
fayyadd@amazon.com
chris@gerolamo.lan
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57.
bergmchr@amazon.com
dcmaddix@gmail.com
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notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb
58.
cbergman@gmail.com
dcmaddix@gmail.com
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59.
3449962+ktonthat@users.noreply.github.com
kris.tonthat@gmail.com
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60.
3449962+ktonthat@users.noreply.github.com
bergmchr@amazon.com
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61.
3449962+ktonthat@users.noreply.github.com
cbergman@gmail.com
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59209764+shimomut@users.noreply.github.com
fayyadd@amazon.com
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63.
59209764+shimomut@users.noreply.github.com
singhada@amazon.com
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64.
jtbangani@gmail.com
fayyadd@amazon.com
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65.
jtbangani@gmail.com
singhada@amazon.com
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66.
fayyadd@amazon.com
Yatrie@users.noreply.github.com
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67.
fayyadd@amazon.com
agrvivek@amazon.com
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68.
fayyadd@amazon.com
bergmchr@amazon.com
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69.
fayyadd@amazon.com
cbergman@gmail.com
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70.
singhada@amazon.com
Yatrie@users.noreply.github.com
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singhada@amazon.com
agrvivek@amazon.com
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72.
singhada@amazon.com
bergmchr@amazon.com
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73.
singhada@amazon.com
cbergman@gmail.com
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74.
59209764+shimomut@users.noreply.github.com
michoara@amazon.fr
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jtbangani@gmail.com
michoara@amazon.fr
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Yatrie@users.noreply.github.com
michoara@amazon.fr
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agrvivek@amazon.com
michoara@amazon.fr
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78.
bergmchr@amazon.com
michoara@amazon.fr
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79.
cbergman@gmail.com
michoara@amazon.fr
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80.
contact@annagruebler.com
cbergman@gmail.com
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ForecastCheatSheet.md
| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | chris.king@kilncode.com | michoara@amazon.fr |
55 shared files
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| 2. | bergmchr@amazon.com | cbergman@gmail.com |
31 shared files
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| 3. | chris.king@kilncode.com | jtbangani@gmail.com |
17 shared files
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| 4. | chris.king@kilncode.com | fayyadd@amazon.com |
17 shared files
notebooks/advanced/Item_Level_Explainability/InstrumentData/TTS.csv notebooks/advanced/Item_Level_Explainability/images/ModelLevelScores.png notebooks/advanced/Item_Level_Explainability/InstrumentData/IM.csv notebooks/advanced/Item_Level_Explainability/InstrumentData/item_subset.csv notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint2Scores.png notebooks/advanced/Item_Level_Explainability/images/ItemLevelAggregateAllTimepoints.png notebooks/README.md notebooks/advanced/Retraining/data/.keepme notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Retraining/data/elec_data_small_new.csv notebooks/advanced/Item_Level_Explainability/InstrumentData/second_item_subset.csv notebooks/advanced/Item_Level_Explainability/images/ItemLevelGuitar1AllTimepoints.png notebooks/advanced/Item_Level_Explainability/images/Guitar5TimePoint1Scores.png notebooks/advanced/Item_Level_Explainability/InstrumentData/RTS.csv |
| 5. | 59209764+shimomut@users.noreply.github.com | Yatrie@users.noreply.github.com |
9 shared files
notebooks/advanced/Clustering_Preprocessing/data/df_pivoted.csv.zip notebooks/advanced/Clustering_Preprocessing/tslearn_attribution.md notebooks/advanced/Clustering_Preprocessing/data/df_pivoted.zip .gitignore notebooks/advanced/Clustering_Preprocessing/02. Time Series Clustering Using DTW KMeans.ipynb notebooks/advanced/Clustering_Preprocessing/README.md notebooks/README.md notebooks/advanced/Clustering_Preprocessing/01. Optional - Data Cleaning and Preparation.ipynb README.md |
| 6. | 59209764+shimomut@users.noreply.github.com | jtbangani@gmail.com |
8 shared files
notebooks/basic/Upgrading_to_AutoPredictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining_AutoPredictor/Retraining.ipynb notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb notebooks/advanced/Retraining_AutoPredictor/data/.keepme notebooks/README.md notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_new.csv README.md notebooks/advanced/Retraining_AutoPredictor/data/elec_data_small_first.csv |
| 7. | chris.king@kilncode.com | thewsey@amazon.com |
8 shared files
workshops/pre_POC_workshop/local_util/analysis.py workshops/pre_POC_workshop/local_util/__init__.py workshops/pre_POC_workshop/local_util/dataprep.py workshops/pre_POC_workshop/local_util/distributed.py workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/.gitignore workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb workshops/pre_POC_workshop/local_util/plotting.py |
| 8. | chris.king@kilncode.com | bergmchr@amazon.com |
6 shared files
notebooks/common/util/fcst_utils.py notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb notebooks/README.md workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb README.md workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 9. | chris.king@kilncode.com | cbergman@gmail.com |
6 shared files
notebooks/common/util/fcst_utils.py notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb notebooks/README.md workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb README.md workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 10. | fayyadd@amazon.com | singhada@amazon.com |
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notebooks/advanced/Upgrade_To_Auto_Predictor/UpgradeToAutoPredictor.ipynb notebooks/advanced/Retraining/data/elec_data_small_first.csv notebooks/README.md notebooks/advanced/Retraining/data/.keepme notebooks/advanced/Retraining/Retraining.ipynb notebooks/advanced/Retraining/data/elec_data_small_new.csv |
| 11. | chris.king@kilncode.com | singhada@amazon.com |
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| 12. | chris.king@kilncode.com | gruebler@amazon.co.uk |
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workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi_weekly.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/executed_notebooks/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 13. | jtbangani@gmail.com | bergmchr@amazon.com |
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notebooks/common/util/fcst_utils.py notebooks/README.md README.md |
| 14. | jtbangani@gmail.com | cbergman@gmail.com |
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notebooks/common/util/fcst_utils.py notebooks/README.md README.md |
| 15. | 59209764+shimomut@users.noreply.github.com | chris.king@kilncode.com |
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notebooks/basic/Getting_Started/Amazon_Forecast_Quick_Start_Guide.ipynb notebooks/README.md README.md |
| 16. | bergmchr@amazon.com | athewsey@gmail.com |
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workshops/pre_POC_workshop/INSTRUCTOR_instructions.md workshops/pre_POC_workshop/readme.md workshops/pre_POC_workshop/install-forecast-solution.md |
| 17. | athewsey@gmail.com | cbergman@gmail.com |
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| 18. | bergmchr@amazon.com | contact@annagruebler.com |
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ForecastDatasetGuidanceSales.md ForecastCheatSheet.md |
| 19. | bergmchr@amazon.com | rpallelr@amazon.com |
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notebooks/basic/Tutorial/4.Cleanup.ipynb notebooks/advanced/Getting_started_with_AutoML/Getting_started_with_AutoML.ipynb |
| 20. | chris.king@kilncode.com | peskypotato@protonmail.com |
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notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb notebooks/basic/Tutorial/3.Evaluating_Your_Predictor.ipynb |
| 21. | bergmchr@amazon.com | kris.tonthat@gmail.com |
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notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb workshops/CloudFormationAutomation/readme.md |
| 22. | cbergman@gmail.com | kris.tonthat@gmail.com |
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notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb workshops/CloudFormationAutomation/readme.md |
| 23. | dcmaddix@gmail.com | kris.tonthat@gmail.com |
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notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/images/mqcnn.png |
| 24. | Yatrie@users.noreply.github.com | ruinon@amazon.com |
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| 25. | 59209764+shimomut@users.noreply.github.com | agrvivek@amazon.com |
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| 26. | 59209764+shimomut@users.noreply.github.com | bergmchr@amazon.com |
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| 27. | 59209764+shimomut@users.noreply.github.com | cbergman@gmail.com |
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| 28. | jtbangani@gmail.com | Yatrie@users.noreply.github.com |
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| 29. | jtbangani@gmail.com | agrvivek@amazon.com |
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| 30. | chris.king@kilncode.com | Yatrie@users.noreply.github.com |
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| 31. | chris.king@kilncode.com | agrvivek@amazon.com |
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| 32. | Yatrie@users.noreply.github.com | agrvivek@amazon.com |
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| 33. | Yatrie@users.noreply.github.com | bergmchr@amazon.com |
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| 34. | Yatrie@users.noreply.github.com | cbergman@gmail.com |
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| 35. | agrvivek@amazon.com | bergmchr@amazon.com |
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| 36. | agrvivek@amazon.com | cbergman@gmail.com |
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| 37. | gruebler@amazon.co.uk | thewsey@amazon.com |
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workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi.ipynb workshops/pre_POC_workshop/1.Getting_Data_Ready_nytaxi_weekly.ipynb |
| 38. | gruebler@amazon.co.uk | bergmchr@amazon.com |
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| 39. | gruebler@amazon.co.uk | cbergman@gmail.com |
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| 40. | thewsey@amazon.com | bergmchr@amazon.com |
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| 41. | thewsey@amazon.com | cbergman@gmail.com |
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| 42. | rpallelr@amazon.com | cbergman@gmail.com |
1 shared file
notebooks/basic/Tutorial/4.Cleanup.ipynb |
| 43. | chris.king@kilncode.com | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal |
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notebooks/common/util/fcst_utils.py |
| 44. | jtbangani@gmail.com | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal |
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| 45. | bergmchr@amazon.com | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal |
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notebooks/common/util/fcst_utils.py |
| 46. | cbergman@gmail.com | ec2-user@ip-172-16-21-227.eu-west-1.compute.internal |
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notebooks/common/util/fcst_utils.py |
| 47. | chris.king@kilncode.com | marciomocellin@gmail.com |
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| 48. | peskypotato@protonmail.com | marciomocellin@gmail.com |
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notebooks/basic/Tutorial/1.Importing_Your_Data.ipynb |
| 49. | peskypotato@protonmail.com | bergmchr@amazon.com |
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| 50. | peskypotato@protonmail.com | cbergman@gmail.com |
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| 51. | marciomocellin@gmail.com | bergmchr@amazon.com |
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| 52. | marciomocellin@gmail.com | cbergman@gmail.com |
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| 53. | 59209764+shimomut@users.noreply.github.com | patrushev.alexander@gmail.com |
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| 54. | Yatrie@users.noreply.github.com | patrushev.alexander@gmail.com |
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| 55. | chris.king@kilncode.com | chris@gerolamo.lan |
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notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb |
| 56. | fayyadd@amazon.com | chris@gerolamo.lan |
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notebooks/advanced/Item_Level_Explainability/Item_Level_Explanability.ipynb |
| 57. | bergmchr@amazon.com | dcmaddix@gmail.com |
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notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb |
| 58. | cbergman@gmail.com | dcmaddix@gmail.com |
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notebooks/advanced/Incorporating_Related_Time_Series_dataset_to_your_Predictor/Incorporating_Related_Time_Series_dataset_to_your_Predictor.ipynb |
| 59. | 3449962+ktonthat@users.noreply.github.com | kris.tonthat@gmail.com |
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workshops/CloudFormationAutomation/readme.md |
| 60. | 3449962+ktonthat@users.noreply.github.com | bergmchr@amazon.com |
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| 61. | 3449962+ktonthat@users.noreply.github.com | cbergman@gmail.com |
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| 62. | 59209764+shimomut@users.noreply.github.com | fayyadd@amazon.com |
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| 63. | 59209764+shimomut@users.noreply.github.com | singhada@amazon.com |
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| 64. | jtbangani@gmail.com | fayyadd@amazon.com |
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| 65. | jtbangani@gmail.com | singhada@amazon.com |
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| 66. | fayyadd@amazon.com | Yatrie@users.noreply.github.com |
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| 67. | fayyadd@amazon.com | agrvivek@amazon.com |
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| 69. | fayyadd@amazon.com | cbergman@gmail.com |
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| 70. | singhada@amazon.com | Yatrie@users.noreply.github.com |
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| 71. | singhada@amazon.com | agrvivek@amazon.com |
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| 72. | singhada@amazon.com | bergmchr@amazon.com |
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| 73. | singhada@amazon.com | cbergman@gmail.com |
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| 74. | 59209764+shimomut@users.noreply.github.com | michoara@amazon.fr |
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| 75. | jtbangani@gmail.com | michoara@amazon.fr |
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| 76. | Yatrie@users.noreply.github.com | michoara@amazon.fr |
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| 77. | agrvivek@amazon.com | michoara@amazon.fr |
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| 78. | bergmchr@amazon.com | michoara@amazon.fr |
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| 79. | cbergman@gmail.com | michoara@amazon.fr |
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| 80. | contact@annagruebler.com | cbergman@gmail.com |
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ForecastCheatSheet.md |