RegressionEvaluation
@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 |
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, fromJson, getColumnNames, getCurrentMean, getCurrentPredictionMean, getExampleCountPerColumn, getLabelsSumPerColumn, getPrecision, getSumAbsErrorsPerColumn, getSumLabels, getSumOfProducts, getSumSquaredErrorsPerColumn, getSumSquaredLabels, getSumSquaredPredicted, hashCode, isInitialized, meanAbsoluteError, meanSquaredError, merge, numColumns, pearsonCorrelation, relativeSquaredError, reset, rootMeanSquaredError, rSquared, scoreForMetric, setColumnNames, setCurrentMean, setCurrentPredictionMean, setExampleCountPerColumn, setInitialized, setLabelsSumPerColumn, setPrecision, setSumAbsErrorsPerColumn, setSumLabels, setSumOfProducts, setSumSquaredErrorsPerColumn, setSumSquaredLabels, setSumSquaredPredicted, stats, toString
attempFromLegacyFromJson, eval, evalTimeSeries, evalTimeSeries, fromJson, fromYaml, getObjectMapper, getYamlMapper, toJson, toYaml
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
eval, eval, eval, evalTimeSeries, evalTimeSeries, merge, 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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