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

tf.contrib.learn.extract_pandas_data(data) Extract data from pandas.DataFrame for predictors. Given

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tf.contrib.learn.TensorFlowRNNClassifier.
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tf.contrib.learn.TensorFlowRNNClassifier.__repr__()

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

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

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tf.contrib.learn.DNNClassifier.evaluate()
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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.extract_pandas_matrix()
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tf.contrib.learn.extract_pandas_matrix(data) Extracts numpy matrix from pandas DataFrame. Args:

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

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

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tf.contrib.learn.TensorFlowEstimator.config
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tf.contrib.learn.TensorFlowEstimator.config

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tf.contrib.learn.LinearClassifier.get_estimator()
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tf.contrib.learn.LinearClassifier.get_estimator()

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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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