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Namespace: validate

validate

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Methods

(static) dataIsArray(data)

Parameters:
Name Type Description
data array

The training data set.

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(static) dataIsNotEmpty(data)

Parameters:
Name Type Description
data array

The training data set.

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(static) sampleHasInput(sample, i)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

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(static) sampleHasOutput(sample, i)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

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(static) sampleInputFitsNetwork(sample, i, network)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

network Network

The Network to be trained on the training data set.

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(static) sampleInputIsNotEmpty(sample, i)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

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(static) sampleInputIsOnlyNumbers(sample, i)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

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(static) sampleIsObject(sample, i)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

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(static) sampleOutputFitsNetwork(sample, i, network)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

network Network

The Network to be trained on the training data set.

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(static) sampleOutputIsNotEmpty(sample, i)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

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(static) sampleOutputIsOnlyNumbers(sample, i)

Parameters:
Name Type Description
sample Object

A single object from a training data set.

i number

The index of the sample in the training set.

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(static) trainingData(network, data)

Ensures that a training set in valid form.

Ensures that a training set in valid form.

Parameters:
Name Type Description
network Network

The Network to be trained.

data Array.<object>

The data set to train the Network on.

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