com.google.api.services.language.v2.model

Class XPSTablesRegressionMetrics

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.language.v2.model.XPSTablesRegressionMetrics

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class XPSTablesRegressionMetrics
extends com.google.api.client.json.GenericJson

Metrics for Tables regression problems.

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 Cloud Natural Language 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

com.google.api.client.util.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
XPSTablesRegressionMetrics()

Method Summary

Modifier and Type	Method and Description
XPSTablesRegressionMetrics	clone()
Double	getMeanAbsoluteError() Mean absolute error.
Double	getMeanAbsolutePercentageError() Mean absolute percentage error, only set if all of the target column's values are positive.
List<XPSRegressionMetricsEntry>	getRegressionMetricsEntries() A list of actual versus predicted points for the model being evaluated.
Double	getRootMeanSquaredError() Root mean squared error.
Double	getRootMeanSquaredLogError() Root mean squared log error.
Double	getRSquared() R squared.
XPSTablesRegressionMetrics	set(String fieldName, Object value)
XPSTablesRegressionMetrics	setMeanAbsoluteError(Double meanAbsoluteError) Mean absolute error.
XPSTablesRegressionMetrics	setMeanAbsolutePercentageError(Double meanAbsolutePercentageError) Mean absolute percentage error, only set if all of the target column's values are positive.
XPSTablesRegressionMetrics	setRegressionMetricsEntries(List<XPSRegressionMetricsEntry> regressionMetricsEntries) A list of actual versus predicted points for the model being evaluated.
XPSTablesRegressionMetrics	setRootMeanSquaredError(Double rootMeanSquaredError) Root mean squared error.
XPSTablesRegressionMetrics	setRootMeanSquaredLogError(Double rootMeanSquaredLogError) Root mean squared log error.
XPSTablesRegressionMetrics	setRSquared(Double rSquared) R squared.

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

XPSTablesRegressionMetrics

public XPSTablesRegressionMetrics()

Method Detail

getMeanAbsoluteError

public Double getMeanAbsoluteError()

Mean absolute error.

Returns:

value or null for none

setMeanAbsoluteError

public XPSTablesRegressionMetrics setMeanAbsoluteError(Double meanAbsoluteError)

Mean absolute error.

Parameters:

meanAbsoluteError - meanAbsoluteError or null for none

getMeanAbsolutePercentageError

public Double getMeanAbsolutePercentageError()

Mean absolute percentage error, only set if all of the target column's values are positive.

Returns:

value or null for none

setMeanAbsolutePercentageError

public XPSTablesRegressionMetrics setMeanAbsolutePercentageError(Double meanAbsolutePercentageError)

Mean absolute percentage error, only set if all of the target column's values are positive.

Parameters:

meanAbsolutePercentageError - meanAbsolutePercentageError or null for none

getRSquared

public Double getRSquared()

R squared.

Returns:

value or null for none

setRSquared

public XPSTablesRegressionMetrics setRSquared(Double rSquared)

R squared.

Parameters:

rSquared - rSquared or null for none

getRegressionMetricsEntries

public List<XPSRegressionMetricsEntry> getRegressionMetricsEntries()

A list of actual versus predicted points for the model being evaluated.

Returns:

value or null for none

setRegressionMetricsEntries

public XPSTablesRegressionMetrics setRegressionMetricsEntries(List<XPSRegressionMetricsEntry> regressionMetricsEntries)

A list of actual versus predicted points for the model being evaluated.

Parameters:

regressionMetricsEntries - regressionMetricsEntries or null for none

getRootMeanSquaredError

public Double getRootMeanSquaredError()

Root mean squared error.

Returns:

value or null for none

setRootMeanSquaredError

public XPSTablesRegressionMetrics setRootMeanSquaredError(Double rootMeanSquaredError)

Root mean squared error.

Parameters:

rootMeanSquaredError - rootMeanSquaredError or null for none

getRootMeanSquaredLogError

public Double getRootMeanSquaredLogError()

Root mean squared log error.

Returns:

value or null for none

setRootMeanSquaredLogError

public XPSTablesRegressionMetrics setRootMeanSquaredLogError(Double rootMeanSquaredLogError)

Root mean squared log error.

Parameters:

rootMeanSquaredLogError - rootMeanSquaredLogError or null for none

set

public XPSTablesRegressionMetrics set(String fieldName,
                                      Object value)

Overrides:

set in class com.google.api.client.json.GenericJson

clone

public XPSTablesRegressionMetrics clone()

Overrides:

clone in class com.google.api.client.json.GenericJson