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Refactor py #11
Refactor py #11
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…refactor-py # Conflicts: # fsspark/fs/fdataframe.py
# Conflicts: # requirements.txt
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PR Type
enhancement, tests, documentation
Description
FSMLMethod
,MLCVModel
).FSDataFrame
class for efficient feature selection with support for sparse and dense matrices.Changes walkthrough 📝
9 files
ml.py
Implement ML Feature Selection and Cross-Validation Classes
fslite/fs/ml.py
FSMLMethod
class for ML feature selection.MLCVModel
class for cross-validation ML models.fdataframe.py
Introduce FSDataFrame for Feature Selection
fslite/fs/fdataframe.py
FSDataFrame
class for feature selection.multivariate.py
Add Multivariate Feature Selection Methods
fslite/fs/multivariate.py
FSMultivariate
class for multivariate feature selection.univariate.py
Implement Univariate Feature Selection Methods
fslite/fs/univariate.py
FSUnivariate
class for univariate feature selection.methods.py
Define Abstract Class for Feature Selection Methods
fslite/fs/methods.py
FSMethod
abstract class for feature selection.constants.py
Add Constants for Feature Selection Methods
fslite/fs/constants.py
loom2parquetchunks.py
Add Script for Loom to Parquet Conversion
examples/loom2parquetchunks.py
utils.py
Implement Utility Functions for Data Processing
fslite/fs/utils.py
loom2parquetmerge.py
Add Script for Merging Parquet Files
examples/loom2parquetmerge.py
5 files
test_ml_methods.py
Add Tests for ML Feature Selection Methods
fslite/tests/test_ml_methods.py
test_univariate_methods.py
Add Tests for Univariate Feature Selection
fslite/tests/test_univariate_methods.py
test_fsdataframe.py
Add Tests for FSDataFrame Initialization and Scaling
fslite/tests/test_fsdataframe.py
FSDataFrame
initialization and scaling.test_multivariate_methods.py
Add Tests for Multivariate Feature Selection
fslite/tests/test_multivariate_methods.py
test_fs_pipeline.py
Add Tests for Feature Selection Pipeline
fslite/tests/test_fs_pipeline.py
1 files
fs_pipeline_example.py
Add Example for Feature Selection Pipeline
fslite/pipeline/fs_pipeline_example.py