# layer_discretization

## A preprocessing layer which buckets continuous features by ranges.

## Description

A preprocessing layer which buckets continuous features by ranges.

## Usage

```
layer_discretization(
object, bin_boundaries = NULL,
num_bins = NULL,
epsilon = 0.01,
... )
```

## Arguments

Arguments | Description |
---|---|

object | What to compose the new `Layer` instance with. Typically a Sequential model or a Tensor (e.g., as returned by `layer_input()` ). The return value depends on `object` . If `object` is: - missing or `NULL` , the `Layer` instance is returned. - a `Sequential` model, the model with an additional layer is returned. - a Tensor, the output tensor from `layer_instance(object)` is returned. |

bin_boundaries | A list of bin boundaries. The leftmost and rightmost bins will always extend to `-Inf` and `Inf` , so `bin_boundaries = c(0., 1., 2.)` generates bins `(-Inf, 0.)` , `[0., 1.)` , `[1., 2.)` , and `[2., +Inf)` . If this option is set, `adapt` should not be called. |

num_bins | The integer number of bins to compute. If this option is set, `adapt` should be called to learn the bin boundaries. |

epsilon | Error tolerance, typically a small fraction close to zero (e.g. 0.01). Higher values of epsilon increase the quantile approximation, and hence result in more unequal buckets, but could improve performance and resource consumption. |

… | standard layer arguments. |

## Details

This layer will place each element of its input data into one of several contiguous ranges and output an integer index indicating which range each element was placed in. Input shape: Any `tf.Tensor`

or `tf.RaggedTensor`

of dimension 2 or higher. Output shape: Same as input shape.

## See Also

`adapt()`

https://www.tensorflow.org/api_docs/python/tf/keras/layers/Discretization

https://keras.io/api/layers/preprocessing_layers/numerical/discretization

Other numerical features preprocessing layers:

`layer_normalization()`

Other preprocessing layers:`layer_category_encoding()`

,`layer_center_crop()`

,`layer_hashing()`

,`layer_integer_lookup()`

,`layer_normalization()`

,`layer_random_brightness()`

,`layer_random_contrast()`

,`layer_random_crop()`

,`layer_random_flip()`

,`layer_random_height()`

,`layer_random_rotation()`

,`layer_random_translation()`

,`layer_random_width()`

,`layer_random_zoom()`

,`layer_rescaling()`

,`layer_resizing()`

,`layer_string_lookup()`

,`layer_text_vectorization()`