tf.keras.utils.to_categorical
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Converts a class vector (integers) to binary class matrix.
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tf.compat.v1.keras.utils.to_categorical
tf.keras.utils.to_categorical(
y, num_classes=None, dtype='float32'
)
E.g. for use with categorical_crossentropy.
Usage Example:
y = [0, 1, 2, 3]
tf.keras.utils.to_categorical(y, num_classes=4)
array([[1., 0., 0., 0.],
[0., 1., 0., 0.],
[0., 0., 1., 0.],
[0., 0., 0., 1.]], dtype=float32)
Arguments |
|---|
y
|
class vector to be converted into a matrix
(integers from 0 to num_classes).
|
num_classes
|
total number of classes.
|
dtype
|
The data type expected by the input. Default: 'float32'.
|
Returns |
|---|
|
A binary matrix representation of the input. The classes axis is placed
last.
|
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Last updated 2020-10-01 UTC.
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TensorFlow 1 version
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