public final class RegressionMetrics
extends com.google.api.client.json.GenericJson
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
com.google.api.client.util.GenericData.Flags
Constructor and Description |
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RegressionMetrics() |
Modifier and Type | Method and Description |
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RegressionMetrics |
clone() |
java.lang.Double |
getMeanAbsoluteError()
Mean absolute error.
|
java.lang.Double |
getMeanSquaredError()
Mean squared error.
|
java.lang.Double |
getMeanSquaredLogError()
Mean squared log error.
|
java.lang.Double |
getMedianAbsoluteError()
Median absolute error.
|
java.lang.Double |
getRSquared()
R^2 score.
|
RegressionMetrics |
set(java.lang.String fieldName,
java.lang.Object value) |
RegressionMetrics |
setMeanAbsoluteError(java.lang.Double meanAbsoluteError)
Mean absolute error.
|
RegressionMetrics |
setMeanSquaredError(java.lang.Double meanSquaredError)
Mean squared error.
|
RegressionMetrics |
setMeanSquaredLogError(java.lang.Double meanSquaredLogError)
Mean squared log error.
|
RegressionMetrics |
setMedianAbsoluteError(java.lang.Double medianAbsoluteError)
Median absolute error.
|
RegressionMetrics |
setRSquared(java.lang.Double rSquared)
R^2 score.
|
getFactory, setFactory, toPrettyString, toString
entrySet, get, getClassInfo, getUnknownKeys, put, putAll, remove, setUnknownKeys
clear, containsKey, containsValue, equals, hashCode, isEmpty, keySet, size, values
public java.lang.Double getMeanAbsoluteError()
null
for nonepublic RegressionMetrics setMeanAbsoluteError(java.lang.Double meanAbsoluteError)
meanAbsoluteError
- meanAbsoluteError or null
for nonepublic java.lang.Double getMeanSquaredError()
null
for nonepublic RegressionMetrics setMeanSquaredError(java.lang.Double meanSquaredError)
meanSquaredError
- meanSquaredError or null
for nonepublic java.lang.Double getMeanSquaredLogError()
null
for nonepublic RegressionMetrics setMeanSquaredLogError(java.lang.Double meanSquaredLogError)
meanSquaredLogError
- meanSquaredLogError or null
for nonepublic java.lang.Double getMedianAbsoluteError()
null
for nonepublic RegressionMetrics setMedianAbsoluteError(java.lang.Double medianAbsoluteError)
medianAbsoluteError
- medianAbsoluteError or null
for nonepublic java.lang.Double getRSquared()
null
for nonepublic RegressionMetrics setRSquared(java.lang.Double rSquared)
rSquared
- rSquared or null
for nonepublic RegressionMetrics set(java.lang.String fieldName, java.lang.Object value)
set
in class com.google.api.client.json.GenericJson
public RegressionMetrics clone()
clone
in class com.google.api.client.json.GenericJson