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

tf.contrib.learn.LinearRegressor.bias_

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

tf.contrib.learn.DNNRegressor.export(*args, **kwargs) Exports inference graph into given dir. (deprecated arguments)

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

tf.contrib.learn.DNNClassifier.bias_ DEPRECATED FUNCTION THIS FUNCTION IS DEPRECATED. It will

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

tf.contrib.learn.TensorFlowRNNClassifier.fit(x, y, steps=None, monitors=None, logdir=None) Neural network model from provided

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

tf.contrib.learn.TensorFlowRNNRegressor.predict_proba(x, batch_size=None) Predict class probability of the input samples x

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

tf.contrib.learn.BaseEstimator.get_variable_value(name) Returns value of the variable given by name. Args:

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

tf.contrib.learn.TensorFlowRNNClassifier.get_params(deep=True) Get parameters for this estimator. Args:

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

tf.contrib.learn.LinearRegressor.config

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

tf.contrib.learn.read_batch_examples(file_pattern, batch_size, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, num_threads=1, read_batch_size=1

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

tf.contrib.learn.DNNRegressor.model_dir

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