microsoft / recommenders
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 155 files with 17,229 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 2 files changed 51-100 times (253 lines of code)
    • 5 files changed 21-50 times (2,297 lines of code)
    • 95 files changed 6-20 times (11,494 lines of code)
    • 53 files changed 1-5 times (3,185 lines of code)
0% | 1% | 13% | 66% | 18%
Legend:
101+
51-100
21-50
6-20
1-5

Detailed data...

File Change Frequency per File Extension
py, ipynb, md, yml, yaml, rst, scala, sbt, toml, txt, json, cpp, in, ini, gitignore, sh, properties
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 1% | 14% | 67% | 16%
yaml0% | 0% | 0% | 34% | 65%
cpp0% | 0% | 0% | 100% | 0%
scala0% | 0% | 0% | 100% | 0%
sbt0% | 0% | 0% | 100% | 0%
toml0% | 0% | 0% | 63% | 36%
in0% | 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
tools0% | 35% | 58% | 6% | 0%
ROOT0% | 89% | 0% | 9% | <1%
recommenders/evaluation0% | 0% | 99% | 0% | <1%
recommenders/datasets0% | 0% | 18% | 59% | 21%
recommenders/models0% | 0% | 3% | 81% | 15%
contrib/sarplus0% | 0% | 0% | 98% | 1%
contrib/azureml_designer_modules0% | 0% | 0% | 41% | 58%
recommenders/utils0% | 0% | 0% | 67% | 32%
recommenders/tuning0% | 0% | 0% | 33% | 66%
recommenders0% | 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
setup.py
in root
 116 - 19 833 95
generate_conda_file.py
in tools
 137 - 46 655 56
databricks_install.py
in tools
 225 3 46 655 33
movielens.py
in recommenders/datasets
 398 19 46 193 23
spark_evaluation.py
in recommenders/evaluation
 534 30 46 193 22
rbm.py
in recommenders/models/rbm
 327 27 42 193 21
python_evaluation.py
in recommenders/evaluation
 813 30 46 193 21
multinomial_vae.py
in recommenders/models/vae
 268 22 46 193 20
SARPlus.py
in contrib/sarplus/python/pysarplus
 198 7 46 838 19
base_model.py
in recommenders/models/deeprec/models
 514 26 46 193 19
lightgcn.py
in recommenders/models/deeprec/models/graphrec
 294 12 46 193 18
tfidf_utils.py
in recommenders/models/tfidf
 186 15 46 193 17
tf_utils.py
in recommenders/utils
 218 15 46 193 16
sequential_base_model.py
in recommenders/models/deeprec/models/sequential
 252 9 46 193 16
base_model.py
in recommenders/models/newsrec/models
 259 18 46 193 16
spark_utils.py
in recommenders/utils
 39 1 46 193 15
covid_utils.py
in recommenders/datasets
 82 6 46 193 15
layers.py
in recommenders/models/newsrec/models
 173 19 46 193 15
standard_vae.py
in recommenders/models/vae
 237 22 46 193 15
ncf_singlenode.py
in recommenders/models/ncf
 273 8 46 193 15