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tf.contrib.estimator.linear_logit_fn_builder

View source on GitHub

Function builder for a linear logit_fn.

Aliases:

  • tf.compat.v1.estimator.experimental.linear_logit_fn_builder
  • tf.estimator.experimental.linear_logit_fn_builder
tf.contrib.estimator.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).