@Deprecated public class RegressionEvaluation extends RegressionEvaluation implements IEvaluation<RegressionEvaluation>
Modifier and Type | Class and Description |
---|---|
static class |
RegressionEvaluation.Metric
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation.Metric |
axis, DEFAULT_PRECISION
Constructor and Description |
---|
RegressionEvaluation()
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation |
RegressionEvaluation(List<String> columnNames)
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation |
RegressionEvaluation(List<String> columnNames,
long precision)
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation |
RegressionEvaluation(long nColumns)
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation |
RegressionEvaluation(long nColumns,
long precision)
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation |
RegressionEvaluation(String... columnNames)
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation |
Modifier and Type | Method and Description |
---|---|
double |
scoreForMetric(RegressionEvaluation.Metric metric)
Deprecated.
Use ND4J RegressionEvaluation class, which has the same interface:
RegressionEvaluation |
averagecorrelationR2, averageMeanAbsoluteError, averageMeanSquaredError, averagePearsonCorrelation, averagerelativeSquaredError, averagerootMeanSquaredError, averageRSquared, canEqual, correlationR2, equals, eval, eval, eval, fromJson, getAxis, getColumnNames, getCurrentMean, getCurrentPredictionMean, getExampleCountPerColumn, getLabelsSumPerColumn, getPrecision, getSumAbsErrorsPerColumn, getSumLabels, getSumOfProducts, getSumSquaredErrorsPerColumn, getSumSquaredLabels, getSumSquaredPredicted, getValue, hashCode, isInitialized, meanAbsoluteError, meanSquaredError, merge, newInstance, numColumns, pearsonCorrelation, relativeSquaredError, reset, rootMeanSquaredError, rSquared, scoreForMetric, setAxis, setColumnNames, setCurrentMean, setCurrentPredictionMean, setExampleCountPerColumn, setInitialized, setLabelsSumPerColumn, setPrecision, setSumAbsErrorsPerColumn, setSumLabels, setSumOfProducts, setSumSquaredErrorsPerColumn, setSumSquaredLabels, setSumSquaredPredicted, stats, toString
attempFromLegacyFromJson, eval, evalTimeSeries, evalTimeSeries, fromJson, fromYaml, reshapeAndExtractNotMasked, toJson, toYaml
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
eval, eval, eval, eval, evalTimeSeries, evalTimeSeries, getValue, merge, newInstance, reset, stats, toJson, toYaml
@Deprecated public RegressionEvaluation()
RegressionEvaluation
@Deprecated public RegressionEvaluation(long nColumns)
RegressionEvaluation
@Deprecated public RegressionEvaluation(long nColumns, long precision)
RegressionEvaluation
@Deprecated public RegressionEvaluation(String... columnNames)
RegressionEvaluation
@Deprecated public RegressionEvaluation(List<String> columnNames)
RegressionEvaluation
@Deprecated public RegressionEvaluation(List<String> columnNames, long precision)
RegressionEvaluation
@Deprecated public double scoreForMetric(RegressionEvaluation.Metric metric)
RegressionEvaluation
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