tf.compat.v1.estimator.experimental.dnn_logit_fn_builder

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Function builder for a dnn logit_fn.

tf.compat.v1.estimator.experimental.dnn_logit_fn_builder(
    units, hidden_units, feature_columns, activation_fn, dropout,
    input_layer_partitioner, batch_norm
)

Args:

• units: An int indicating the dimension of the logit layer. In the MultiHead case, this should be the sum of all component Heads' logit dimensions.
• hidden_units: Iterable of integer number of hidden units per layer.
• feature_columns: Iterable of feature_column._FeatureColumn model inputs.
• activation_fn: Activation function applied to each layer.
• dropout: When not None, the probability we will drop out a given coordinate.
• input_layer_partitioner: Partitioner for input layer.
• batch_norm: Whether to use batch normalization after each hidden layer.

Returns:

A logit_fn (see below).

Raises:

• ValueError: If units is not an int.