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

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

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

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

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

tf.contrib.learn.NanLossDuringTrainingError.__str__()

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

tf.contrib.learn.LinearRegressor.get_variable_value(name) Returns value of the variable given by name.

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

class tf.contrib.learn.Estimator Estimator class is the basic TensorFlow model trainer/evaluator.

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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.TensorFlowRNNClassifier
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

class tf.contrib.learn.TensorFlowRNNClassifier TensorFlow RNN Classifier model.

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

tf.contrib.learn.extract_dask_labels(labels) Extract data from dask.Series for labels.

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

tf.contrib.learn.RunConfig.job_name

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

tf.contrib.learn.DNNRegressor.bias_

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