com.google.api.services.bigquery.model

Class PrincipalComponentInfo

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.bigquery.model.PrincipalComponentInfo

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class PrincipalComponentInfo
extends GenericJson

Principal component infos, used only for eigen decomposition based models, e.g., PCA. Ordered by explained_variance in the descending order.

This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the BigQuery API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

GenericData.Flags

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Constructor Summary

Constructors

Constructor and Description
PrincipalComponentInfo()

Method Summary

Modifier and Type	Method and Description
PrincipalComponentInfo	clone()
Double	getCumulativeExplainedVarianceRatio() The explained_variance is pre-ordered in the descending order to compute the cumulative explained variance ratio.
Double	getExplainedVariance() Explained variance by this principal component, which is simply the eigenvalue.
Double	getExplainedVarianceRatio() Explained_variance over the total explained variance.
Long	getPrincipalComponentId() Id of the principal component.
PrincipalComponentInfo	set(String fieldName, Object value)
PrincipalComponentInfo	setCumulativeExplainedVarianceRatio(Double cumulativeExplainedVarianceRatio) The explained_variance is pre-ordered in the descending order to compute the cumulative explained variance ratio.
PrincipalComponentInfo	setExplainedVariance(Double explainedVariance) Explained variance by this principal component, which is simply the eigenvalue.
PrincipalComponentInfo	setExplainedVarianceRatio(Double explainedVarianceRatio) Explained_variance over the total explained variance.
PrincipalComponentInfo	setPrincipalComponentId(Long principalComponentId) Id of the principal component.

Methods inherited from class com.google.api.client.json.GenericJson

getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData

entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap

clear, containsKey, containsValue, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

Constructor Detail

PrincipalComponentInfo

public PrincipalComponentInfo()

Method Detail

getCumulativeExplainedVarianceRatio

public Double getCumulativeExplainedVarianceRatio()

The explained_variance is pre-ordered in the descending order to compute the cumulative explained variance ratio.

Returns:

value or null for none

setCumulativeExplainedVarianceRatio

public PrincipalComponentInfo setCumulativeExplainedVarianceRatio(Double cumulativeExplainedVarianceRatio)

The explained_variance is pre-ordered in the descending order to compute the cumulative explained variance ratio.

Parameters:

cumulativeExplainedVarianceRatio - cumulativeExplainedVarianceRatio or null for none

getExplainedVariance

public Double getExplainedVariance()

Explained variance by this principal component, which is simply the eigenvalue.

Returns:

value or null for none

setExplainedVariance

public PrincipalComponentInfo setExplainedVariance(Double explainedVariance)

Explained variance by this principal component, which is simply the eigenvalue.

Parameters:

explainedVariance - explainedVariance or null for none

getExplainedVarianceRatio

public Double getExplainedVarianceRatio()

Explained_variance over the total explained variance.

Returns:

value or null for none

setExplainedVarianceRatio

public PrincipalComponentInfo setExplainedVarianceRatio(Double explainedVarianceRatio)

Explained_variance over the total explained variance.

Parameters:

explainedVarianceRatio - explainedVarianceRatio or null for none

getPrincipalComponentId

public Long getPrincipalComponentId()

Id of the principal component.

Returns:

value or null for none

setPrincipalComponentId

public PrincipalComponentInfo setPrincipalComponentId(Long principalComponentId)

Id of the principal component.

Parameters:

principalComponentId - principalComponentId or null for none

set

public PrincipalComponentInfo set(String fieldName,
                                  Object value)

Overrides:

set in class GenericJson

clone

public PrincipalComponentInfo clone()

Overrides:

clone in class GenericJson