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

class tf.contrib.learn.TensorFlowEstimator Base class for all TensorFlow estimators.

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

tf.contrib.learn.TensorFlowRNNClassifier.config

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

tf.contrib.learn.DNNRegressor.linear_weights_ Returns weights per feature of the linear part.

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

tf.contrib.learn.TensorFlowRNNClassifier.model_dir

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

tf.contrib.learn.TensorFlowEstimator.model_dir

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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.evaluate()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.evaluate(graph, output_dir, checkpoint_path, eval_dict, update_op=None, global_step_tensor=None, supervisor_master='', log_every_steps=10, feed_fn=None

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

tf.contrib.learn.DNNClassifier.predict_proba(*args, **kwargs) Returns prediction probabilities for given features. (deprecated

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

tf.contrib.learn.LinearClassifier.model_dir

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

tf.contrib.learn.LinearRegressor.bias_

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