Python data Analytics-the 11th chapter-Identifying handwritten numbers

11th. Recognition of handwritten numerals 271
11.1 Handwriting Recognition 271
11.2 using Scikit-learn to recognize handwritten numerals 271
11.3 Digits Data Set 272
11.4 Learning and Forecasting 274
11.5 Summary 276

1 2	Import SVM svc = SVM. SVC (gamma=0.001, c=100.)

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Import datasets digits = Datasets.load_digits ()

1	digits.images[0]

array([[  0.,   0.,   5.,  13.,   9.,   1.,   0.,   0.],       [  0.,   0.,  13.,  15.,  10.,  15.,   5.,   0.],       [  0.,   3.,  15.,   2.,   0.,  11.,   8.,   0.],       [  0.,   4.,  12.,   0.,   0.,   8.,   8.,   0.],       [  0.,   5.,   8.,   0.,   0.,   9.,   8.,   0.],       [  0.,   4.,  11.,   0.,   1.,  12.,   7.,   0.],       [  0.,   2.,  14.,   5.,  10.,  12.,   0.,   0.],       [  0.,   0.,   6.,  13.,  10.,   0.,   0.,   0.]])

1	Digits.target.size

1797

1	Digits.target

array([0, 1, 2, ..., 8, 9, 8])

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As Plt %matplotlib Inline Plt.imshow (digits.images[0], cmap=plt.cm.gray_r, interpolation=' nearest ')

<matplotlib.image.AxesImage at 0x16657400>

1	Svc.fit (digits.data[1:1790], digits.target[1:1790])

SVC(C=100.0, cache_size=200, class_weight=None, coef0=0.0, degree=3,  gamma=0.001, kernel=‘rbf‘, max_iter=-1, probability=False,  random_state=None, shrinking=True, tol=0.001, verbose=False)

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Import Matplotlib.pyplotAs Plt %matplotlib Inline Plt.subplot (321) Plt.imshow (digits.images[1791], Cmap=plt.cm.gray_r, interpolation=' Nearest ') Plt.subplot (322) Plt.imshow (digits.images[1792], Cmap=plt.cm.gray_r, interpolation= ' nearest ') plt.subplot (323) plt.imshow (digits.images[< Span class= "number" >1793], Cmap=plt.cm.gray_r, Interpolation= ' nearest ') plt.subplot (324) plt.imshow (digits.images[1794], Cmap=plt.cm.gray_r, Interpolation= ' nearest ') Plt.subplot (325) plt.imshow (Digits.images[1795 ], Cmap=plt.cm.gray_r, Interpolation= ' nearest ') plt.subplot (326) plt.imshow (Digits.images[1796], Cmap=plt.cm.gray _r, Interpolation= ' nearest ')

<matplotlib.image.AxesImage at 0x175e6b00>

1	Svc.predict (digits.data[1791:1976])

array([4, 9, 0, 8, 9, 8])

1	digits.target[1791:1976]

array([4, 9, 0, 8, 9, 8])

Python data Analytics-the 11th chapter-Identifying handwritten numbers