eval

Author: Y1ran

Diff for: Supervised_learn/Estimate_eval.py

@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Wed Aug  8 19:19:17 2018
+
+@author: Administrator
+"""
+
+from sklearn.datasets import make_moons
+from sklearn.model_selection import train_test_split
+import numpy as np
+from sklearn.ensemble import GradientBoostingClassifier
+from sklearn.datasets import make_circles
+from sklearn.datasets import load_iris
+
+def Uncertainty_eval():
+    '''test'''
+    X, y= make_circles(noise=0.25, factor=0.5, random_state=1)
+    
+    y = np.array(["blue", "red"])[y]
+    X_train, X_test, y_train, y_test = train_test_split(
+                X, y ,random_state=0)
+    
+    gb = GradientBoostingClassifier(learning_rate=0.01,random_state=0)
+    gb.fit(X_train, y_train)
+    print("Decusuib functions: \n{}".format(gb.decision_function(X_test)[:6]))
+    print(gb.classes_)
+    print("Decusuib functions: \n{}".format(gb.predict_proba(X_test)[:6]))
+
+    iris = load_iris()
+    X_train, X_test, y_train, y_test = train_test_split(
+                iris.data, iris.target ,random_state=42)
+    gb.fit(X_train, y_train)
+    print(gb.score(X_test,y_test) ,'\n', np.argmax(gb.predict_proba(X_test),axis=1))