various changes

rfecv_vis.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Sun May 29 12:21:34 2022
+
+@author: tanu
+"""
+from sklearn.svm import SVC
+from sklearn.datasets import make_classification
+
+from yellowbrick.model_selection import RFECV
+
+# Instantiate RFECV visualizer with a linear SVM classifier
+visualizer = RFECV(SVC(kernel='linear', C=1))
+
+visualizer.fit(X[numerical_FN], y)        # Fit the data to the visualizer
+visualizer.show()       
+
+
+numerical_ix = X.select_dtypes(include=['int64', 'float64']).columns
+numerical_ix
+categorical_ix = X.select_dtypes(include=['object', 'bool']).columns
+categorical_ix    
+
+# Determine preprocessing steps ~ var_type
+var_type = 'mixed'
+var_type = 'numerical'
+
+if var_type == 'numerical':
+    t = [('num', MinMaxScaler(), numerical_ix)]
+
+if var_type == 'categorical':
+    t = [('cat', OneHotEncoder(), categorical_ix)]
+
+if var_type == 'mixed':
+    t = [('cat', OneHotEncoder(), categorical_ix)
+         , ('num', MinMaxScaler(), numerical_ix)]
+    
+    t = [('num', MinMaxScaler(), numerical_ix)
+         , ('cat', OneHotEncoder(), categorical_ix)]
+    
+col_transform = ColumnTransformer(transformers = t
+                                   , remainder='passthrough')
+#--------------ALEX help
+# col_transform
+# col_transform.fit(X)
+# test = col_transform.transform(X)
+# print(col_transform.get_feature_names_out())
+
+# foo = col_transform.fit_transform(X)
+Xm = col_transform.fit_transform(X)
+# (foo == test).all()
+#-----------------------
+
+visualizer.fit(Xm, y)        # Fit the data to the visualizer
+visualizer.show()
+
+
+visualizer.fit(X[numerical_FN], y)        # Fit the data to the visualizer
+visualizer.show()