aaded scripts for FS including test call, etc

scripts/ml/run_FS.py

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+#!/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'
+         )
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+##############################################################################
+#%% 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)
+##############################################################################
+