Package ai.djl.basicdataset.tabular

Class AirfoilRandomAccess.Builder

java.lang.Object

ai.djl.training.dataset.RandomAccessDataset.BaseBuilder<T>

ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder<AirfoilRandomAccess.Builder>

ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder

Enclosing class:

AirfoilRandomAccess

public static final class AirfoilRandomAccess.Builder
extends CsvDataset.CsvBuilder<AirfoilRandomAccess.Builder>

A builder to construct a AirfoilRandomAccess.

Field Summary

Fields inherited from class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder

csvFormat, csvUrl, features, labels

Fields inherited from class ai.djl.training.dataset.RandomAccessDataset.BaseBuilder

dataBatchifier, device, labelBatchifier, limit, pipeline, prefetchNumber, sampler, targetPipeline

Method Summary

Modifier and Type	Method	Description
AirfoilRandomAccess.Builder	addFeature(java.lang.String name)	Adds a feature to the features set.
AirfoilRandomAccess	build()	Builds the new CsvDataset.
java.util.List<java.lang.String>	getAvailableFeatures()	Returns the available features of this dataset.
AirfoilRandomAccess.Builder	optArtifactId(java.lang.String artifactId)	Sets the optional artifactId.
AirfoilRandomAccess.Builder	optGroupId(java.lang.String groupId)	Sets optional groupId.
AirfoilRandomAccess.Builder	optNormalize(boolean normalize)	Sets if normalize the dataset.
AirfoilRandomAccess.Builder	optRepository(ai.djl.repository.Repository repository)	Sets the optional repository.
AirfoilRandomAccess.Builder	optUsage(ai.djl.training.dataset.Dataset.Usage usage)	Sets the optional usage.
AirfoilRandomAccess.Builder	self()

Methods inherited from class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder

addCategoricalFeature, addCategoricalFeature, addCategoricalLabel, addCategoricalLabel, addFeature, addLabel, addNumericFeature, addNumericLabel, optCsvFile, optCsvUrl, setCsvFormat

Methods inherited from class ai.djl.training.dataset.RandomAccessDataset.BaseBuilder

addTargetTransform, addTransform, getSampler, optDataBatchifier, optDevice, optLabelBatchifier, optLimit, optPipeline, optPrefetchNumber, optTargetPipeline, setSampling, setSampling, setSampling

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

self

public AirfoilRandomAccess.Builder self()

Overrides:

self in class CsvDataset.CsvBuilder<AirfoilRandomAccess.Builder>

optUsage

public AirfoilRandomAccess.Builder optUsage(ai.djl.training.dataset.Dataset.Usage usage)

Sets the optional usage.

Parameters:

usage - the new usage

Returns:

this builder

optRepository

public AirfoilRandomAccess.Builder optRepository(ai.djl.repository.Repository repository)

Sets the optional repository.

Parameters:

repository - the repository

Returns:

this builder

optGroupId

public AirfoilRandomAccess.Builder optGroupId(java.lang.String groupId)

Sets optional groupId.

Parameters:

groupId - the groupId}

Returns:

this builder

optArtifactId

public AirfoilRandomAccess.Builder optArtifactId(java.lang.String artifactId)

Sets the optional artifactId.

Parameters:

artifactId - the artifactId

Returns:

this builder

optNormalize

public AirfoilRandomAccess.Builder optNormalize(boolean normalize)

Sets if normalize the dataset.

Parameters:

normalize - true to normalize the dataset

Returns:

the builder

getAvailableFeatures

public java.util.List<java.lang.String> getAvailableFeatures()

Returns the available features of this dataset.

Returns:

a list of feature names

addFeature

public AirfoilRandomAccess.Builder addFeature(java.lang.String name)

Adds a feature to the features set.

Parameters:

name - the name of the feature

Returns:

this builder

build

public AirfoilRandomAccess build()

Builds the new CsvDataset.

Overrides:

build in class CsvDataset.CsvBuilder<AirfoilRandomAccess.Builder>

Returns:

the new CsvDataset