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

tf.contrib.learn.DNNClassifier.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) See

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

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

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

tf.contrib.learn.LinearRegressor.__repr__()

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

tf.contrib.learn.TensorFlowEstimator.predict(x, axis=1, batch_size=None) Predict class or regression for x.

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

tf.contrib.learn.TensorFlowEstimator.config

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

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

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

tf.contrib.learn.TensorFlowRNNClassifier.set_params(**params) Set the parameters of this estimator. The

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

tf.contrib.learn.TensorFlowRNNClassifier.__repr__()

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

tf.contrib.learn.BaseEstimator.get_variable_names() Returns list of all variable names in this model.

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

tf.contrib.learn.TensorFlowRNNClassifier.weights_ Returns weights of the rnn layer.

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