Merge pull request #34829 from rpalakkal:usage-example
PiperOrigin-RevId: 304022323 Change-Id: Ib0b7ab3f9d1ae752010995eca2d3214ad94a991e
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@ -61,6 +61,22 @@ def to_categorical(y, num_classes=None, dtype='float32'):
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Returns:
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A binary matrix representation of the input. The classes axis is placed
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last.
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Usage example:
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>>> y = [0, 1, 2, 3, 3, 1, 0]
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>>> tf.keras.utils.to_categorical(y, 4)
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array([[1., 0., 0., 0.],
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[0., 1., 0., 0.],
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[0., 0., 1., 0.],
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[0., 0., 0., 1.],
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[0., 0., 0., 1.],
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[0., 1., 0., 0.],
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[1., 0., 0., 0.]], dtype=float32)
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Raises:
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Value Error: If input contains string value
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"""
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y = np.array(y, dtype='int')
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input_shape = y.shape
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