microsoft / nlp-recipes
File Change Frequency

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

File Change Frequency Overall
File Change Frequency Overall
The number of recorded file updates
  • There are 108 files with 13,939 lines of code.
    • 1 files changed more than 100 times (144 lines of code)
    • 1 files changed 51-100 times (262 lines of code)
    • 28 files changed 21-50 times (5,510 lines of code)
    • 49 files changed 6-20 times (5,090 lines of code)
    • 29 files changed 1-5 times (2,933 lines of code)
1% | 1% | 39% | 36% | 21%
Legend:
101+
51-100
21-50
6-20
1-5

Detailed data...

File Change Frequency per File Extension
py, md, ipynb, yml, c, json, gitignore, txt, rst, cfg, in, toml, sed, sh, bash, yaml
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py1% | 2% | 43% | 39% | 14%
bash0% | 0% | 0% | 100% | 0%
sed0% | 0% | 0% | 100% | 0%
toml0% | 0% | 0% | 100% | 0%
c0% | 0% | 0% | 0% | 100%
in0% | 0% | 0% | 0% | 100%
yml0% | 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
tools65% | 0% | 0% | 17% | 17%
utils_nlp/models0% | 2% | 46% | 20% | 30%
utils_nlp/dataset0% | 0% | 70% | 22% | 6%
utils_nlp/common0% | 0% | 74% | 24% | <1%
utils_nlp/azureml0% | 0% | 43% | 55% | <1%
ROOT0% | 0% | 89% | 2% | 8%
utils_nlp/eval0% | 0% | 1% | 98% | 0%
utils_nlp0% | 0% | 100% | 0% | 0%
utils_nlp/interpreter0% | 0% | 0% | 98% | 1%
utils_nlp/language_utils0% | 0% | 0% | 100% | 0%
Most Frequently Changed Files (Top 20)

See data for all files...

File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
generate_conda_file.py
in tools
 144 - 622 973 123
common.py
in utils_nlp/models/transformers
 262 11 622 867 77
wikigold.py
in utils_nlp/dataset
 113 3 391 977 48
sequence_classification.py
in utils_nlp/models/transformers
 187 9 622 867 48
question_answering.py
in utils_nlp/models/transformers
 1067 23 622 867 48
extractive_summarization.py
in utils_nlp/models/transformers
 528 27 622 831 46
pytorch_utils.py
in utils_nlp/common
 96 6 673 932 42
multinli.py
in utils_nlp/dataset
 127 6 391 971 40
named_entity_recognition.py
in utils_nlp/models/transformers
 269 11 622 867 39
preprocess.py
in utils_nlp/dataset
 67 7 860 1021 38
sequence_classification.py
in utils_nlp/models/bert
 179 4 706 932 38
url_utils.py
in utils_nlp/dataset
 79 5 673 1023 37
sequence_encoding.py
in utils_nlp/models/bert
 165 9 706 923 34
setup.py
in root
 65 1 768 928 33
snli.py
in utils_nlp/dataset
 79 8 860 1021 33
azureml_utils.py
in utils_nlp/azureml
 87 4 824 966 33
token_classification.py
in utils_nlp/models/bert
 178 7 734 932 32
cnndm.py
in utils_nlp/dataset
 229 8 662 832 30
abstractive_summarization_seq2seq.py
in utils_nlp/models/transformers
 707 22 622 750 30
sequence_classification_distributed.py
in utils_nlp/models/bert
 207 6 706 916 28