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Buckets data into discrete ranges.
See Migration guide for more details.
tf.keras.layers.Discretization( bin_boundaries=None, num_bins=None, epsilon=0.01, **kwargs )
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.
Same as input shape.
Bucketize float values based on provided buckets.
>>> input = np.array([[-1.5, 1.0, 3.4, .5], [0.0, 3.0, 1.3, 0.0]]) >>> layer = tf.keras.layers.Discretization(bin_