apache / dolphinscheduler-mlflow
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

Overview
File Change Frequency Overall
  • There are 23 files with 820 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 0 files changed 6-20 times (0 lines of code)
    • 23 files changed 1-5 times (820 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 23 files with 820 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 0 files changed by 6-10 contributors (0 lines of code)
    • 23 files changed by 2-5 contributors (820 lines of code)
    • 0 files changed by 1 contributor (0 lines of code)
0% | 0% | 0% | 100% | 0%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
py, yaml, md, txt, gitignore, json
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 0% | 100%
yaml0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
Project-AutoML0% | 0% | 0% | 0% | 100%
Project-BasicAlgorithm0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 23)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
conda.yaml
in Project-AutoML
13 - 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
mod_flaml.py
in Project-AutoML/automl/mod
73 7 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
mod_autosklearn.py
in Project-AutoML/automl/mod
93 6 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
utils.py
in Project-BasicAlgorithm/core
21 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
svm.py
in Project-BasicAlgorithm/core/training
21 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
lr.py
in Project-BasicAlgorithm/core/training
24 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
lightgbm.py
in Project-BasicAlgorithm/core/training
24 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
xgboost.py
in Project-BasicAlgorithm/core/training
26 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
tool.py
in Project-AutoML/automl/mod
35 6 2022-05-17 2023-02-15 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
train.py
in Project-BasicAlgorithm
86 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
train.py
in Project-AutoML
92 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
__init__.py
in Project-AutoML/automl/mod
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-BasicAlgorithm/core
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-BasicAlgorithm/core/training
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-AutoML/automl
5 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
metrics.py
in Project-BasicAlgorithm/core
6 1 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
metrics.py
in Project-AutoML/automl
7 1 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
conda.yaml
in Project-BasicAlgorithm
15 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
predictor.py
in Project-AutoML
21 4 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
data.py
in Project-BasicAlgorithm/core
39 3 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
data.py
in Project-AutoML/automl
41 3 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
params.py
in Project-AutoML/automl
52 5 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
params.py
in Project-BasicAlgorithm/core/training
123 12 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
Files With Most Contributors (Top 23)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
mod_autosklearn.py
in Project-AutoML/automl/mod
93 6 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
mod_flaml.py
in Project-AutoML/automl/mod
73 7 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
conda.yaml
in Project-AutoML
13 - 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
lightgbm.py
in Project-BasicAlgorithm/core/training
24 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
lr.py
in Project-BasicAlgorithm/core/training
24 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
xgboost.py
in Project-BasicAlgorithm/core/training
26 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
svm.py
in Project-BasicAlgorithm/core/training
21 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
utils.py
in Project-BasicAlgorithm/core
21 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
train.py
in Project-BasicAlgorithm
86 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
tool.py
in Project-AutoML/automl/mod
35 6 2022-05-17 2023-02-15 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
train.py
in Project-AutoML
92 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
metrics.py
in Project-BasicAlgorithm/core
6 1 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
params.py
in Project-BasicAlgorithm/core/training
123 12 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-BasicAlgorithm/core/training
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-BasicAlgorithm/core
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
data.py
in Project-BasicAlgorithm/core
39 3 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
conda.yaml
in Project-BasicAlgorithm
15 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
predictor.py
in Project-AutoML
21 4 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
metrics.py
in Project-AutoML/automl
7 1 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
params.py
in Project-AutoML/automl
52 5 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-AutoML/automl
5 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-AutoML/automl/mod
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
data.py
in Project-AutoML/automl
41 3 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
Files With Least Contributors (Top 23)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
params.py
in Project-BasicAlgorithm/core/training
123 12 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
mod_autosklearn.py
in Project-AutoML/automl/mod
93 6 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
train.py
in Project-AutoML
92 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
train.py
in Project-BasicAlgorithm
86 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
mod_flaml.py
in Project-AutoML/automl/mod
73 7 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
params.py
in Project-AutoML/automl
52 5 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
data.py
in Project-AutoML/automl
41 3 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
data.py
in Project-BasicAlgorithm/core
39 3 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
tool.py
in Project-AutoML/automl/mod
35 6 2022-05-17 2023-02-15 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
xgboost.py
in Project-BasicAlgorithm/core/training
26 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
lightgbm.py
in Project-BasicAlgorithm/core/training
24 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
lr.py
in Project-BasicAlgorithm/core/training
24 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
svm.py
in Project-BasicAlgorithm/core/training
21 1 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
utils.py
in Project-BasicAlgorithm/core
21 3 2022-05-17 2022-10-24 3 2 jieguang_zhou@163.com jieguang_zhou@163.com
predictor.py
in Project-AutoML
21 4 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
conda.yaml
in Project-BasicAlgorithm
15 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
conda.yaml
in Project-AutoML
13 - 2022-05-17 2023-02-15 4 2 jieguang_zhou@163.com jieguang_zhou@163.com
metrics.py
in Project-AutoML/automl
7 1 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
metrics.py
in Project-BasicAlgorithm/core
6 1 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-AutoML/automl
5 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-BasicAlgorithm/core/training
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-BasicAlgorithm/core
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
__init__.py
in Project-AutoML/automl/mod
1 - 2022-05-17 2022-05-29 2 2 jieguang_zhou@163.com zhongjiajie955@gmail.com
Correlations

File Size vs. Number of Changes: 23 points

Project-AutoML/automl/mod/mod_autosklearn.py x: 93 lines of code y: 4 # changes Project-AutoML/automl/mod/mod_flaml.py x: 73 lines of code y: 4 # changes Project-AutoML/automl/mod/tool.py x: 35 lines of code y: 3 # changes Project-AutoML/conda.yaml x: 13 lines of code y: 4 # changes Project-AutoML/train.py x: 92 lines of code y: 3 # changes Project-BasicAlgorithm/core/training/lightgbm.py x: 24 lines of code y: 3 # changes Project-BasicAlgorithm/core/training/svm.py x: 21 lines of code y: 3 # changes Project-BasicAlgorithm/core/training/xgboost.py x: 26 lines of code y: 3 # changes Project-BasicAlgorithm/train.py x: 86 lines of code y: 3 # changes Project-AutoML/automl/__init__.py x: 5 lines of code y: 2 # changes Project-AutoML/automl/data.py x: 41 lines of code y: 2 # changes Project-AutoML/automl/metrics.py x: 7 lines of code y: 2 # changes Project-AutoML/automl/mod/__init__.py x: 1 lines of code y: 2 # changes Project-AutoML/automl/params.py x: 52 lines of code y: 2 # changes Project-AutoML/predictor.py x: 21 lines of code y: 2 # changes Project-BasicAlgorithm/conda.yaml x: 15 lines of code y: 2 # changes Project-BasicAlgorithm/core/data.py x: 39 lines of code y: 2 # changes Project-BasicAlgorithm/core/metrics.py x: 6 lines of code y: 2 # changes Project-BasicAlgorithm/core/training/params.py x: 123 lines of code y: 2 # changes
4.0
# changes
  min: 2.0
  average: 2.61
  25th percentile: 2.0
  median: 2.0
  75th percentile: 3.0
  max: 4.0
0 123.0
lines of code
min: 1.0 | average: 35.65 | 25th percentile: 7.0 | median: 24.0 | 75th percentile: 52.0 | max: 123.0

Number of Contributors vs. Number of Changes: 23 points

Project-AutoML/automl/mod/mod_autosklearn.py x: 2 # contributors y: 4 # changes Project-AutoML/automl/mod/tool.py x: 2 # contributors y: 3 # changes Project-AutoML/automl/__init__.py x: 2 # contributors y: 2 # changes
4.0
# changes
  min: 2.0
  average: 2.61
  25th percentile: 2.0
  median: 2.0
  75th percentile: 3.0
  max: 4.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

Number of Contributors vs. File Size: 23 points

Project-AutoML/automl/mod/mod_autosklearn.py x: 2 # contributors y: 93 lines of code Project-AutoML/automl/mod/mod_flaml.py x: 2 # contributors y: 73 lines of code Project-AutoML/automl/mod/tool.py x: 2 # contributors y: 35 lines of code Project-AutoML/conda.yaml x: 2 # contributors y: 13 lines of code Project-AutoML/train.py x: 2 # contributors y: 92 lines of code Project-BasicAlgorithm/core/training/lightgbm.py x: 2 # contributors y: 24 lines of code Project-BasicAlgorithm/core/training/svm.py x: 2 # contributors y: 21 lines of code Project-BasicAlgorithm/core/training/xgboost.py x: 2 # contributors y: 26 lines of code Project-BasicAlgorithm/train.py x: 2 # contributors y: 86 lines of code Project-AutoML/automl/__init__.py x: 2 # contributors y: 5 lines of code Project-AutoML/automl/data.py x: 2 # contributors y: 41 lines of code Project-AutoML/automl/metrics.py x: 2 # contributors y: 7 lines of code Project-AutoML/automl/mod/__init__.py x: 2 # contributors y: 1 lines of code Project-AutoML/automl/params.py x: 2 # contributors y: 52 lines of code Project-BasicAlgorithm/conda.yaml x: 2 # contributors y: 15 lines of code Project-BasicAlgorithm/core/data.py x: 2 # contributors y: 39 lines of code Project-BasicAlgorithm/core/metrics.py x: 2 # contributors y: 6 lines of code Project-BasicAlgorithm/core/training/params.py x: 2 # contributors y: 123 lines of code
123.0
lines of code
  min: 1.0
  average: 35.65
  25th percentile: 7.0
  median: 24.0
  75th percentile: 52.0
  max: 123.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0