tidy script to run my versions of multiple modles with blind tests and also with oversampled data

pnca_config.py

@@ -0,0 +1,35 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Sat May 28 05:25:30 2022
+
+@author: tanu
+"""
+import os, sys
+
+def MyGlobalVars():
+    global gene
+    global drug 
+    global homedir
+    gene  = 'pncA'
+    drug  = 'pyrazinamide'
+    homedir = os.path.expanduser("~")
+    
+MyGlobalVars()
+
+os.chdir(homedir + "/git/ML_AI_training/")
+
+# my function
+from UQ_MultClassPipe4 import MultClassPipeSKFCV
+from UQ_pnca_ML.py import *
+
+#from scriptsfymcn import run_all_ML
+
+
+# YC_resD2 = run_all_ML(input_pd=X, target_label=y, blind_test_input_df=X_bts, blind_test_target=y_bts, preprocess = True, var_type = 'mixed')
+
+# CVResultsDF = YC_resD2['CrossValResultsDF']
+# CVResultsDF.sort_values(by=['matthew'], ascending=False, inplace=True)
+# BTSResultsDF = YC_resD2['BlindTestResultsDF']
+# BTSResultsDF.sort_values(by=['matthew'], ascending=False, inplace=True)
+