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

@author: tanu
"""

# my function
#import fsgs from UQ_FS_fn

fsgs(input_df = X
     , target = y
     , param_gridLd = param_grid_abc
     , blind_test_df = X_bts
     , blind_test_target = y_bts
     , estimator = AdaBoostClassifier(**rs)
     , var_type = 'mixed')

ds_lrD = fsgs(input_df = X
     , target = y
     , param_gridLd = param_grid_lr
     , blind_test_df = X_bts
     , blind_test_target = y_bts
     , estimator = LogisticRegression(**rs)
     , var_type = 'mixed')

# RF: without fs + hyperparam
rf_allF = fsgs(input_df = X
     , target = y
     , param_gridLd = param_grid_rf
     , blind_test_df = X_bts
     , blind_test_target = y_bts
     , estimator = RandomForestClassifier(**rs, **njobs, bootstrap = True, oob_score = True)
     , var_type = 'mixed')

#Fitting 10 folds for each of 31104 candidates, totalling 311040 fits



##############################################################################
#========================================
# 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)
##############################################################################