DeepLearning[Estimator] - Maple Programming Help

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DeepLearning[Estimator]

  

Train

  

train an estimator on specified data

 

Calling Sequence

Parameters

Options

Description

Compatibility

Calling Sequence

est:-Train(dataset,output,opts)

Parameters

est

-

an Estimator object

dataset

-

object

output

-

object or none

opts

-

zero or more options as specified below

Options

• 

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.

Description

• 

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

Compatibility

• 

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