public final class RegressionMetrics extends 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
GenericData.Flags
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>
Constructor and Description |
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RegressionMetrics() |
Modifier and Type | Method and Description |
---|---|
RegressionMetrics |
clone() |
Double |
getMeanAbsoluteError()
Mean absolute error.
|
Double |
getMeanSquaredError()
Mean squared error.
|
Double |
getMeanSquaredLogError()
Mean squared log error.
|
Double |
getMedianAbsoluteError()
Median absolute error.
|
Double |
getRSquared()
R^2 score.
|
RegressionMetrics |
set(String fieldName,
Object value) |
RegressionMetrics |
setMeanAbsoluteError(Double meanAbsoluteError)
Mean absolute error.
|
RegressionMetrics |
setMeanSquaredError(Double meanSquaredError)
Mean squared error.
|
RegressionMetrics |
setMeanSquaredLogError(Double meanSquaredLogError)
Mean squared log error.
|
RegressionMetrics |
setMedianAbsoluteError(Double medianAbsoluteError)
Median absolute error.
|
RegressionMetrics |
setRSquared(Double rSquared)
R^2 score.
|
getFactory, setFactory, toPrettyString, toString
entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys
clear, containsKey, containsValue, isEmpty, keySet, size, values
finalize, getClass, notify, notifyAll, wait, wait, wait
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll
public Double getMeanAbsoluteError()
null
for nonepublic RegressionMetrics setMeanAbsoluteError(Double meanAbsoluteError)
meanAbsoluteError
- meanAbsoluteError or null
for nonepublic Double getMeanSquaredError()
null
for nonepublic RegressionMetrics setMeanSquaredError(Double meanSquaredError)
meanSquaredError
- meanSquaredError or null
for nonepublic Double getMeanSquaredLogError()
null
for nonepublic RegressionMetrics setMeanSquaredLogError(Double meanSquaredLogError)
meanSquaredLogError
- meanSquaredLogError or null
for nonepublic Double getMedianAbsoluteError()
null
for nonepublic RegressionMetrics setMedianAbsoluteError(Double medianAbsoluteError)
medianAbsoluteError
- medianAbsoluteError or null
for nonepublic Double getRSquared()
null
for nonepublic RegressionMetrics setRSquared(Double rSquared)
rSquared
- rSquared or null
for nonepublic RegressionMetrics set(String fieldName, Object value)
set
in class GenericJson
public RegressionMetrics clone()
clone
in class GenericJson
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