【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
, s4 P. J3 U  I# m' ~3 S; Pimport matplotlib.pyplot as plt

3 L* j3 w8 P( L# l6 Kimport utilities

# Load input data
7 P" |. Y9 l9 ?2 _input_file = 'D:\\1.Modeling material\\Py_Study\\2.code_model\\Python-Machine-Learning-Cookbook\\Python-Machine-Learning-Cookbook-master\\Chapter03\\data_multivar.txt'
7 y. R, C. H% ~% hX, y = utilities.load_data(input_file)
1 S: H. Z" O8 ?
- n0 `. |( W- t' c+ I0 d/ r###############################################
3 E2 t; s1 ~  {6 S# Separate the data into classes based on 'y'
* E) d2 Q4 J( c3 uclass_0 = np.array([X[i] for i in range(len(X)) if y[i]==0])
, X* ~3 |7 t  F- Zclass_1 = np.array([X[i] for i in range(len(X)) if y[i]==1])
! y# E+ \, h$ l. i5 O# Q
" q- x2 p8 O( o. E  C) J+ V4 ]# Plot the input data
plt.figure()
* Q0 _3 _* g& R$ |% o8 h2 T6 Fplt.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')
& h8 x# G. h9 L- K% P
###############################################
5 ?: `: q1 r$ }7 O/ `* |5 R3 h" q# Train test split and SVM training
$ u, A$ g# w1 e7 }: |1 A+ Afrom sklearn import cross_validation
0 x1 }1 v$ d3 v0 \+ M8 x: O) C  k& bfrom sklearn.svm import SVC
, M1 G+ y# K8 m
X_train, X_test, y_train, y_test = cross_validation.train_test_split(X, y, test_size=0.25, random_state=5)
0 D( G2 D2 `% P. d! r% S# F
/ U) u  u. X% l) p  G% k: H" P#params = {'kernel': 'linear'}
#params = {'kernel': 'poly', 'degree': 3}
params = {'kernel': 'rbf'}
classifier = SVC(**params)
7 _6 p: l- H7 J* N. S3 a; |/ Rclassifier.fit(X_train, y_train)
utilities.plot_classifier(classifier, X_train, y_train, 'Training dataset')

( `9 x  ]' N# R8 Cy_test_pred = classifier.predict(X_test)
* M3 N- y- R7 ~7 dutilities.plot_classifier(classifier, X_test, y_test, 'Test dataset')

' ?  F9 ^* {! V2 C  l7 a4 |$ F- `###############################################
; ]( B  V' H7 T+ U. q4 G9 q3 k2 X0 l9 u# Evaluate classifier performance
- Z/ t( b/ Z1 a/ u( x* G
. ^' w2 O0 u; O/ t% v( Ofrom sklearn.metrics import classification_report

& z2 }1 Q7 m; V% Jtarget_names = ['Class-' + str(int(i)) for i in set(y)]
2 g) n: y4 I: @6 bprint "\n" + "#"*30
  o& \7 H( n6 Xprint "\nClassifier performance on training dataset\n"
print classification_report(y_train, classifier.predict(X_train), target_names=target_names)
print "#"*30 + "\n"
0 [% D  R# b2 k# I" `) m
print "#"*30
6 s2 {* d9 c# k, v( W7 w, Q1 pprint "\nClassification report on test dataset\n"
print classification_report(y_test, y_test_pred, target_names=target_names)
print "#"*30 + "\n"

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