ml-pipeline
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1. ml_pipeline
1.1. src.ml_pipeline
1.1.1. src.ml_pipeline.ML_Feature
1.1.2. src.ml_pipeline.ML_Features
1.1.3. src.ml_pipeline.ML_Input_File
1.1.4. src.ml_pipeline.ML_Input_Files
1.1.5. src.ml_pipeline.ML_Model
1.1.6. src.ml_pipeline.ML_Models
1.1.7. src.ml_pipeline.ML_ParentClass
1.1.8. src.ml_pipeline.ML_params
1.1.9. src.ml_pipeline.ML_support
1.1.10. src.ml_pipeline.Templates
1.1.10.1. src.ml_pipeline.Templates.code_templates
1.1.10.2. src.ml_pipeline.Templates.main_class_templates
ml-pipeline
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1.
src
»
1.1.
src.ml_pipeline
»
1.1.10.
src.ml_pipeline.Templates
»
1.1.10.1.
src.ml_pipeline.Templates.code_templates
»
1.1.10.1.2.
src.ml_pipeline.Templates.code_templates.generic_cleaning
»
1.1.10.1.2.1.
src.ml_pipeline.Templates.code_templates.generic_cleaning.clean
1.1.10.1.2.1.
src.ml_pipeline.Templates.code_templates.generic_cleaning.clean
¶
clean
(
Model_inst
)
[source]
¶
Take the joined df (df_joined) and clean it, export as df_cleaned