Contents Metrics (contrib)Ops for evaluation metrics and summary statistics.API Metric Ops tf.contrib.metrics.streaming_accuracy(predictions, labels, weights=None, metrics_collections=None, updates_collections=None, name=None) tf.contrib.metrics.streaming_mean(values, weights=None, metrics_collections=None, updates_collections=None, name=None) tf.contrib.metrics.streaming_recall(*args, **kwargs) tf.contrib.metrics.streaming_precision(*args, **kwargs) tf.contrib.metrics.streaming_auc(predictio

TTypes<T>::ConstFlat tensorflow::Tensor::flat() const

tf.contrib.learn.DNNRegressor.config

tf.OpError.node_def The NodeDef proto representing the op that failed.

class tf.contrib.distributions.NormalWithSoftplusSigma Normal with softplus applied to sigma.

tf.errors.DataLossError.__init__(node_def, op, message) Creates a DataLossError.

tf.rsqrt(x, name=None) Computes reciprocal of square root of x element-wise. I.e., \(y = 1 / \sqrt{x}\). Args: x: A Tensor. Must be one of the following types: half, float32, float64, complex64, complex128. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.

tf.InteractiveSession.close() Closes an InteractiveSession.

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.is_reparameterized

tf.TextLineReader.num_records_produced(name=None) Returns the number of records this reader has produced. This is the same as the number of Read executions that have succeeded. Args: name: A name for the operation (optional). Returns: An int64 Tensor.