tf.contrib.learn.TensorFlowRNNRegressor.partial_fit()

tf.contrib.learn.TensorFlowRNNRegressor.partial_fit(x, y)

Incremental fit on a batch of samples.

This method is expected to be called several times consecutively on different or the same chunks of the dataset. This either can implement iterative training or out-of-core/online training. This is especially useful when the whole dataset is too big to fit in memory at the same time. Or when model is taking long time to converge, and you want to split up training into subparts.

Args:

• x: matrix or tensor of shape [n_samples, n_features...]. Can be iterator that returns arrays of features. The training input samples for fitting the model.

• y: vector or matrix [n_samples] or [n_samples, n_outputs]. Can be iterator that returns array of targets. The training target values (class label in classification, real numbers in regression).

Returns:

Returns self.