tf.keras.utils.to_categorical
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Converts a class vector (integers) to binary class matrix.
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.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.utils.to_categorical\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/utils/to_categorical) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/keras/utils/np_utils.py#L24-L61) |\n\nConverts a class vector (integers) to binary class matrix.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.utils.to_categorical`](/api_docs/python/tf/keras/utils/to_categorical)\n\n\u003cbr /\u003e\n\n tf.keras.utils.to_categorical(\n y, num_classes=None, dtype='float32'\n )\n\nE.g. for use with categorical_crossentropy.\n\n#### Usage Example:\n\n y = [0, 1, 2, 3]\n tf.keras.utils.to_categorical(y, num_classes=4)\n array([[1., 0., 0., 0.],\n [0., 1., 0., 0.],\n [0., 0., 1., 0.],\n [0., 0., 0., 1.]], dtype=float32)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------------|------------------------------------------------------------------------------|\n| `y` | class vector to be converted into a matrix (integers from 0 to num_classes). |\n| `num_classes` | total number of classes. |\n| `dtype` | The data type expected by the input. Default: `'float32'`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A binary matrix representation of the input. The classes axis is placed last. ||\n\n\u003cbr /\u003e"]]
TensorFlow 1 version
View source on GitHub