tf.estimator.experimental.linear_logit_fn_builder

Aliases:

• tf.contrib.estimator.linear_logit_fn_builder
• tf.estimator.experimental.linear_logit_fn_builder

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

Function builder for a linear logit_fn.

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).