#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 24 08:11:05 2022

@author: tanu
"""
###############################################################################
#====================
# single model CALL
#====================
a_fs0 = fsgs(input_df = X
         , target = y
         , param_gridLd = [{'fs__min_features_to_select' : [1]}]
         , blind_test_df = X_bts
         , blind_test_target = y_bts
         , estimator = LogisticRegression(**rs)
         , use_fs = False # uses estimator as the RFECV parameter for fs. Set to TRUE if you want to supply custom_fs as shown below
         , custom_fs = RFECV(DecisionTreeClassifier(**rs) , cv =  skf_cv, scoring = 'matthews_corrcoef')
         , cv_method =  skf_cv
         , var_type = 'mixed'
         )


























##############################################################################
#%% json output
#========================================
# Write final output file
# https://stackoverflow.com/questions/19201290/how-to-save-a-dictionary-to-a-file
#========================================
# #output final dict as a json
# outFile = 'LR_FS.json'
# with open(outFile, 'w') as f:
#     f.write(json.dumps(output_modelD,cls=NpEncoder))
    
# # read json
# file = 'LR_FS.json'
# with open(file, 'r') as f:
#     data = json.load(f)
##############################################################################