tf.contrib.estimator.linear_logit_fn_builder

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

Defined in tensorflow/python/estimator/canned/linear.py.

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).