【申精】花花公子成人频道Playboy TV-Spring Break (春假派对系列 全）

rogercheng

尝试下西片吧

gu80542

偶尔换个口味

功夫茶

import numpy as np
/ A: z' f0 |& `- X2 Wimport matplotlib.pyplot as plt
# Z. C! ~! E, q/ w/ ^% K! l
. u5 f* j, K8 R  gimport utilities
+ W- V, I; x$ j; L, X7 r7 O1 i' B. h
1 D' w# s  x  O; v( L  P# Load input data
2 S' i$ J6 E% o- B% m' Y" s) Qinput_file = 'D:\\1.Modeling material\\Py_Study\\2.code_model\\Python-Machine-Learning-Cookbook\\Python-Machine-Learning-Cookbook-master\\Chapter03\\data_multivar.txt'
+ P2 o4 u7 q- a# X& bX, y = utilities.load_data(input_file)
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###############################################
, X7 e$ q8 X( o; @" m7 l/ x# Separate the data into classes based on 'y'
3 f4 |8 Z* d" F4 o) E- u- |class_0 = np.array([X[i] for i in range(len(X)) if y[i]==0])
/ H! i2 K0 ?; ?' \3 J1 O3 d. Eclass_1 = np.array([X[i] for i in range(len(X)) if y[i]==1])
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# Plot the input data
4 w; ?* x. @' Oplt.figure()
plt.scatter(class_0[:,0], class_0[:,1], facecolors='black', edgecolors='black', marker='s')
$ Y5 j) N! d# C2 Uplt.scatter(class_1[:,0], class_1[:,1], facecolors='None', edgecolors='black', marker='s')
. D, a( e2 l' o- hplt.title('Input data')
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1 ^+ e0 s4 B% u+ A###############################################
1 G4 r6 E. u& R+ N# Train test split and SVM training
1 ?+ W0 i! X: y- Z( j8 e1 yfrom sklearn import cross_validation
from sklearn.svm import SVC

X_train, X_test, y_train, y_test = cross_validation.train_test_split(X, y, test_size=0.25, random_state=5)
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" E6 X+ h: ~: q4 P#params = {'kernel': 'linear'}
#params = {'kernel': 'poly', 'degree': 3}
9 D, L9 I. d( J% K" S/ L* i9 Uparams = {'kernel': 'rbf'}
classifier = SVC(**params)
classifier.fit(X_train, y_train)
utilities.plot_classifier(classifier, X_train, y_train, 'Training dataset')

7 }  q: G' J3 ]9 Z% U0 Dy_test_pred = classifier.predict(X_test)
utilities.plot_classifier(classifier, X_test, y_test, 'Test dataset')
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###############################################
# Evaluate classifier performance
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/ Z) X3 J4 a4 G& L( ?! Dfrom sklearn.metrics import classification_report

+ X  o# E/ c8 _' b+ D  Vtarget_names = ['Class-' + str(int(i)) for i in set(y)]
print "\n" + "#"*30
1 n% E# ]6 P; v) `print "\nClassifier performance on training dataset\n"
print classification_report(y_train, classifier.predict(X_train), target_names=target_names)
, q5 n, v# a4 |' H' `8 k: pprint "#"*30 + "\n"

print "#"*30
) H! ]2 L3 {1 r. o  J5 Sprint "\nClassification report on test dataset\n"
print classification_report(y_test, y_test_pred, target_names=target_names)
2 K0 @( n8 L2 Z. [. Cprint "#"*30 + "\n"
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jteo21

好片强烈支持

wxw0214

你就我们摸我

正大符

精华帖，力鼎，巨乳

hzfdy

很具有野性

阑珊灯焱

看上去还不错

wongyuro

感觉还是不错

violetrain2

看着图片很有感觉的