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

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.name

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.loss(final_loss, name='Loss')

tf.contrib.learn.monitors.CheckpointSaver.begin(max_steps=None)

tf.contrib.learn.extract_pandas_data(data) Extract data from pandas.DataFrame for predictors. Given a DataFrame, will extract the values and cast them to float. The DataFrame is expected to contain values of type int, float or bool. Args: data: pandas.DataFrame containing the data to be extracted. Returns: A numpy ndarray of the DataFrame's values as floats. Raises: ValueError: if data contains types other than int, float or bool.

tf.contrib.learn.extract_pandas_matrix(data) Extracts numpy matrix from pandas DataFrame. Args: data: pandas.DataFrame containing the data to be extracted. Returns: A numpy ndarray of the DataFrame's values.

tf.contrib.distributions.Binomial.dtype The DType of Tensors handled by this Distribution.

tf.FixedLengthRecordReader.reset(name=None) Restore a reader to its initial clean state. Args: name: A name for the operation (optional). Returns: The created Operation.

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.name

class tf.errors.FailedPreconditionError Operation was rejected because the system is not in a state to execute it. This exception is most commonly raised when running an operation that reads a tf.Variable before it has been initialized.