tf.keras.ops.digitize
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Returns the indices of the bins to which each value in x belongs.
tf.keras.ops.digitize(
x, bins
)
Args |
|---|
x
|
Input array to be binned.
|
bins
|
Array of bins. It has to be one-dimensional and monotonically
increasing.
|
Returns |
|---|
Output array of indices, of same shape as x.
|
Example:
x = np.array([0.0, 1.0, 3.0, 1.6])
bins = np.array([0.0, 3.0, 4.5, 7.0])
keras.ops.digitize(x, bins)
array([1, 1, 2, 1])
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Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.ops.digitize\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/ops/numpy.py#L1948-L1968) |\n\nReturns the indices of the bins to which each value in `x` belongs.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.ops.numpy.digitize`](https://www.tensorflow.org/api_docs/python/tf/keras/ops/digitize)\n\n\u003cbr /\u003e\n\n tf.keras.ops.digitize(\n x, bins\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|---------------------------------------------------------------------------|\n| `x` | Input array to be binned. |\n| `bins` | Array of bins. It has to be one-dimensional and monotonically increasing. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Output array of indices, of same shape as `x`. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n x = np.array([0.0, 1.0, 3.0, 1.6])\n bins = np.array([0.0, 3.0, 4.5, 7.0])\n keras.ops.digitize(x, bins)\n array([1, 1, 2, 1])"]]
View source on GitHub