tf.compat.v1.estimator.experimental.KMeans

Function builder for a linear logit_fn.

tf.compat.v1.estimator.experimental.linear_logit_fn_builder(
    units, feature_columns, sparse_combiner='sum'
)

Args
`units`	An int indicating the dimension of the logit layer.
`feature_columns`	An iterable containing all the feature columns used by the model.
`sparse_combiner`	A string specifying how to reduce if a categorical column is multivalent. One of "mean", "sqrtn", and "sum".

Returns
A logit_fn (see below).

TensorFlow

tf.compat / v1 / v1.estimator.experimental.KMeans

Args

Returns

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.estimator.experimental.KMeans

Args

Returns