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ml
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spark
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core
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metrics
MetricConstants
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package metrics
object
MetricConstants
Contains constants used by modules for metrics.
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final
def
!=
(
arg0:
Any
)
:
Boolean
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final
def
##
()
:
Int
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final
def
==
(
arg0:
Any
)
:
Boolean
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val
AccuracyColumnName
:
String
val
AccuracySparkMetric
:
String
val
AllSparkMetrics
:
String
val
AreaUnderROCMetric
:
String
val
AucColumnName
:
String
val
AucSparkMetric
:
String
val
AverageAccuracy
:
String
val
BinningThreshold
:
Int
val
ClassificationColumns
:
List
[
String
]
val
ClassificationEvaluationType
:
String
val
ClassificationMetrics
:
Set
[
String
]
val
ClassificationMetricsName
:
String
val
ClassificationPerInstanceMetrics
:
Set
[
String
]
val
ConfusionMatrix
:
String
val
EvaluationType
:
String
val
FindBestModelMetrics
:
Set
[
String
]
val
FpRateROCColumnName
:
String
val
FpRateROCLog
:
String
val
L1LossMetric
:
String
val
L2LossMetric
:
String
val
LogLossMetric
:
String
val
MacroAveragedPrecision
:
String
val
MacroAveragedRecall
:
String
val
MaeColumnName
:
String
val
MaeSparkMetric
:
String
val
MetricToColumnName
:
Map
[
String
,
String
]
val
MseColumnName
:
String
val
MseSparkMetric
:
String
val
PrecisionColumnName
:
String
val
PrecisionSparkMetric
:
String
val
R2ColumnName
:
String
val
R2SparkMetric
:
String
val
RecallColumnName
:
String
val
RecallSparkMetric
:
String
val
RegressionColumns
:
List
[
String
]
val
RegressionMetrics
:
Set
[
String
]
val
RegressionMetricsName
:
String
val
RegressionPerInstanceMetrics
:
Set
[
String
]
val
RmseColumnName
:
String
val
RmseSparkMetric
:
String
val
TpRateROCColumnName
:
String
val
TpRateROCLog
:
String
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def
asInstanceOf
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clone
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equals
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finalize
()
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classOf[java.lang.Throwable]
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final
def
getClass
()
:
Class
[_]
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def
hashCode
()
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Int
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final
def
isInstanceOf
[
T0
]
:
Boolean
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final
def
ne
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Boolean
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def
notify
()
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notifyAll
()
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def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
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T0
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toString
()
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String
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final
def
wait
()
:
Unit
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final
def
wait
(
arg0:
Long
,
arg1:
Int
)
:
Unit
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final
def
wait
(
arg0:
Long
)
:
Unit
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Contains constants used by modules for metrics.