tf.contrib.learn.DNNClassifier.bias_

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

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tf.contrib.learn.TensorFlowRNNRegressor.predict_proba()

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.DNNRegressor

class tf.contrib.learn.DNNRegressor A regressor for TensorFlow DNN models. Example:

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tf.contrib.learn.LinearRegressor.model_dir

tf.contrib.learn.LinearRegressor.model_dir

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tf.contrib.learn.LinearRegressor.bias_

tf.contrib.learn.LinearRegressor.bias_

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tf.contrib.learn.BaseEstimator.partial_fit()

tf.contrib.learn.BaseEstimator.partial_fit(x=None, y=None, input_fn=None, steps=1, batch_size=None, monitors=None) Incremental

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tf.contrib.learn.TensorFlowRNNRegressor.get_params()

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

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tf.contrib.learn.read_batch_features()

tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, feature_queue_capacity=100

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tf.contrib.learn.BaseEstimator.model_dir

tf.contrib.learn.BaseEstimator.model_dir

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tf.contrib.learn.extract_dask_data()

tf.contrib.learn.extract_dask_data(data) Extract data from dask.Series or dask.DataFrame for predictors.

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