【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
+ D0 ^! e2 H, |3 V$ gimport matplotlib.pyplot as plt

. G) _" B# v$ Z8 B$ ^import utilities
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/ I! l4 n# k6 c! b0 F4 a# Load input data
/ Y" @: r0 ?+ g/ rinput_file = 'D:\\1.Modeling material\\Py_Study\\2.code_model\\Python-Machine-Learning-Cookbook\\Python-Machine-Learning-Cookbook-master\\Chapter03\\data_multivar.txt'
% k) F* I8 M2 Y8 W' f5 jX, y = utilities.load_data(input_file)
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# w7 ]! {% [# l$ D. i& s. o###############################################
9 a9 h# n% Y5 Y. r( G9 W3 H# Separate the data into classes based on 'y'
class_0 = np.array([X[i] for i in range(len(X)) if y[i]==0])
class_1 = np.array([X[i] for i in range(len(X)) if y[i]==1])

# Plot the input data
plt.figure()
; T7 ~- V7 ~, t2 ]& _3 _plt.scatter(class_0[:,0], class_0[:,1], facecolors='black', edgecolors='black', marker='s')
plt.scatter(class_1[:,0], class_1[:,1], facecolors='None', edgecolors='black', marker='s')
plt.title('Input data')
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! r! ~7 p; I6 y! W, B###############################################
# Train test split and SVM training
from sklearn import cross_validation
' m* Q- O5 O, z! \6 [8 zfrom sklearn.svm import SVC
; f: N/ J- o* H1 x! Q# h* I  L* s
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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* b! F: g- D; ^#params = {'kernel': 'linear'}
% @" f  P- \% \" w#params = {'kernel': 'poly', 'degree': 3}
. q) M  s4 h  b% p/ z/ cparams = {'kernel': 'rbf'}
  o6 t- K, |2 z( s  m2 _8 gclassifier = SVC(**params)
classifier.fit(X_train, y_train)
* ^/ G' l5 M$ R) f8 P9 Butilities.plot_classifier(classifier, X_train, y_train, 'Training dataset')

y_test_pred = classifier.predict(X_test)
/ [4 f; N* T& m8 L8 R# qutilities.plot_classifier(classifier, X_test, y_test, 'Test dataset')
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###############################################
: p( o" C# c7 l7 D7 B# Evaluate classifier performance
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  N' H2 m8 m' e7 o: x8 y! f8 D, i, hfrom sklearn.metrics import classification_report
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  t# _9 y3 t/ M" c5 _3 Ttarget_names = ['Class-' + str(int(i)) for i in set(y)]
8 O* ~; v$ E: d# m4 oprint "\n" + "#"*30
& o. q) u6 z5 k0 g) u4 z+ M! Sprint "\nClassifier performance on training dataset\n"
1 t( b+ w- m4 Nprint classification_report(y_train, classifier.predict(X_train), target_names=target_names)
2 ~* V% l& I  ~: i1 q+ o! W% U- dprint "#"*30 + "\n"
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print "#"*30
print "\nClassification report on test dataset\n"
print classification_report(y_test, y_test_pred, target_names=target_names)
( L6 X. S6 x+ \" y: ]! e5 pprint "#"*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