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Jesús Pérez Lorenzo 2025-01-27 09:54:33 +00:00
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README.md
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@ -86,18 +86,18 @@ If you wish to [collect](collect) your own dataset, there are several source fil
## Process data
raw-audit-logs.log
main-audit-logs.log
actions-dataset-audit.txt
`data/raw-audit-logs.log` Raw logs captured from Services
`data/main-audit-logs.log` Data logs fixed and clean
`data/actions-dataset-audit.txt` Source content for learning models
actions_distribution.pdf
`data/actions_distribution.pdf` Generated graph view of actions / events distribution
## Data Models
> [!CAUTION]
> These files are default names and paths, can be changed:
> - by [settings](learning/python/lib_perfspec.py) modifications
> - by <u>command-line</u> in running script mode. Add **--help* for more info
> - by <u>command-line</u> in running script mode. Add **--help** for more info
`models/checkpoints` is where files are stored as part of learning process:
@ -112,14 +112,14 @@ actions_distribution.pdf
## Learning Notebooks
`learning/python/lib_perfspec.py` Main library with settings
[lib_perfspec.py](learning/python/lib_perfspec.py) Main library with settings
`learning/python/prepare_perfspec.py` Prepare data from raw to source for learning models
[prepare_perfspec.py](learning/python/prepare_perfspec.py) Prepare data from raw to source for learning models
`learning/python/train_perfspec.py` To train model from data
`learning/python/run_perfspec.py` To run/check predictions
[train_perfspec.py](learning/python/train_perfspec.py)_ To train model from data
[run_perfspec.py](learning/python/run_perfspec.py) To run/check predictions
`learning/python/model_perfspec.py` To inspect / review generated models
[model_perfspec.py](`learning/python/model_perfspec.py` To inspect / review generated models
<small> __ pycache __ is for Python execution, is ignored in git tasks.</small>