tf.contrib.timeseries.WholeDatasetInputFn

Supports passing a full time series to a model for evaluation/inference.

tf.contrib.timeseries.WholeDatasetInputFn(
    time_series_reader
)

Note that this TimeSeriesInputFn is not designed for high throughput, and should not be used for training. It allows for sequential evaluation on a full dataset (with sequential in-sample predictions), which then feeds naturally into predict_continuation_input_fn for making out-of-sample predictions. While this is useful for plotting and interactive use, RandomWindowInputFn is better suited to training and quantitative evaluation.

Args
time_series_reader	A TimeSeriesReader object.

Methods

create_batch

View source

create_batch()

A suitable input_fn for an Estimator's evaluate().

Returns
A dictionary mapping feature names to Tensors, each shape prefixed by 1, data set size.

__call__

View source

__call__()

Call self as a function.