DeepLearning[Estimator]
Train
train an estimator on specified data
Calling Sequence
Parameters
Options
Description
Compatibility
est:-Train(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 training data should be randomly shuffled prior to training.
steps=nonnegint or none
The number of training steps to take. Each step selects a sample from dataset to train.
The Train(dataset,output,opts) command trains an Estimator against training data specified in dataset.
For examples, see Estimator.
This operation creates a new Tensor by replicating input
The DeepLearning[Estimator][Train] command was introduced in Maple 2018.
For more information on Maple 2018 changes, see Updates in Maple 2018.
See Also
Estimator
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