tf.contrib.learn.DNNRegressor.dnn_weights_
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.DNNRegressor.dnn_weights_ Returns weights of deep neural network part.

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tf.contrib.learn.RunConfig
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

class tf.contrib.learn.RunConfig This class specifies the specific configurations for the run. If

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tf.contrib.learn.Estimator.model_dir
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.Estimator.model_dir

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tf.contrib.learn.BaseEstimator.model_dir
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.BaseEstimator.model_dir

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tf.contrib.learn.TensorFlowRNNClassifier.partial_fit()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.TensorFlowRNNClassifier.partial_fit(x, y) Incremental fit on a batch of samples. This

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tf.contrib.learn.DNNRegressor.dnn_bias_
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.DNNRegressor.dnn_bias_ Returns bias of deep neural network part.

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tf.contrib.learn.LinearRegressor.linear_bias_
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.LinearRegressor.linear_bias_ Returns bias of the linear part.

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tf.contrib.learn.DNNRegressor.fit()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.DNNRegressor.fit(x=None, y=None, input_fn=None, steps=None, batch_size=None, monitors=None, max_steps=None) See

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tf.contrib.learn.LinearRegressor.dnn_bias_
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.LinearRegressor.dnn_bias_ Returns bias of deep neural network part.

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tf.contrib.learn.read_batch_record_features()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.read_batch_record_features(file_pattern, batch_size, features, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1

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