def dnn_autoencoder_estimator(X):
# pylint: disable=invalid-name
"""Autoencoder estimator with target predictor function on top."""
encoder, decoder = autoencoder_ops.dnn_autoencoder(
X, hidden_units, activation,
add_noise=add_noise, dropout=dropout)
return encoder, decoder, target_predictor_fn(X, decoder)
def dnn_autoencoder_estimator(X):
# pylint: disable=invalid-name
"""Autoencoder estimator with target predictor function on top."""
encoder, decoder = autoencoder_ops.dnn_autoencoder(
X, hidden_units, activation,
add_noise=add_noise, dropout=dropout)
return encoder, decoder, target_predictor_fn(X, decoder)
def dnn_autoencoder_estimator(x):
"""Autoencoder estimator with target predictor function on top."""
encoder, decoder = autoencoder_ops.dnn_autoencoder(x,
hidden_units,
activation,
add_noise=add_noise,
dropout=dropout)
return encoder, decoder, target_predictor_fn(x, decoder)
def dnn_autoencoder_estimator(x):
"""Autoencoder estimator with target predictor function on top."""
encoder, decoder = autoencoder_ops.dnn_autoencoder(
x, hidden_units, activation,
add_noise=add_noise, dropout=dropout)
return encoder, decoder, target_predictor_fn(x, decoder)
