1.1.9. src.ml_pipeline.ML_support¶

Functions

`create_unique_Path`	finds a unique Path in a Dir
`export_df`
`export_df_to_Path`	Given a DF and a Path, export the dataframe to the location with specified instructions based on the file extension
`gen_from_template`	generates a template file and formats accordingly
`generate_sample_df`	returns a sample of a dataframe with a given lenght
`get_df_from_dict`	Given a dictionary, turn it into a pandas DF with KEY and VALUE columns
`get_dict_from_df`	for a dataframe with keys and values, return a dictionary
`import_df`
`import_df_from_Path`	Given a Path, import a dataframe from the location with specified instructions based on the file extension
`join_nickname_and_col`	Given "EXP", "HOME_AGE", return "EXP-HOME_AGE"
`shap_importance`
`split_ncol`	Given EXP-HOME_AGE, return ("EXP", "HOME_AGE")