DeepLearning[Estimator]
Evaluate
evaluate an estimator on specified data
Calling Sequence
Parameters
Options
Description
Compatibility
est:-Evaluate(dataset,output,opts)
est
-
an Estimator object
dataset
object
output
object or none
opts
zero or more options as specified below
shuffle=truefalse
Indicates whether the input data should be randomly shuffled prior to evaluation.
steps=nonnegint or none
The number of training steps to take. Each step selects a sample from dataset for the purposes of evaluation.
The Evaluate(dataset,output,opts) command evaluates a trained Estimator on data specified in dataset.
For examples, see Estimator.
The DeepLearning[Estimator][Evaluate] command was introduced in Maple 2018.
For more information on Maple 2018 changes, see Updates in Maple 2018.
See Also
DeepLearning Overview
Estimator
Download Help Document
