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Converters
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object Converters
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package bundle
trait
Converters
extends
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Created by hollinwilkins on 3/28/16.
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final
def
!=
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
final
def
##
()
:
Int
Definition Classes
AnyRef → Any
final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
implicit
object
SparkNode
extends
Node
[
Node
]
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
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Annotations
@throws
(
...
)
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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def
equals
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
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Annotations
@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
Definition Classes
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def
hashCode
()
:
Int
Definition Classes
AnyRef → Any
final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
implicit
def
mlCategoricalSplitToSpark
(
split:
CategoricalSplit
)
:
CategoricalSplit
implicit
def
mlContinuousSplitToMleap
(
split:
ContinuousSplit
)
:
ContinuousSplit
implicit
def
mlDecisionTreeClassificationToSpark
(
model:
DecisionTreeClassification
[
Node
]
)
:
DecisionTreeClassificationModel
implicit
def
mlDecisionTreeRegressionToSpark
(
model:
DecisionTreeRegression
[
Node
]
)
:
DecisionTreeRegressionModel
implicit
def
mlHashingTermFrequencyModelToSpark
(
model:
HashingTermFrequencyModel
)
:
HashingTF
implicit
def
mlLinearRegressionModelToSpark
(
model:
LinearRegressionModel
)
:
LinearRegressionModel
implicit
def
mlLogisticRegressionModelToSpark
(
model:
LogisticRegressionModel
)
:
LogisticRegressionModel
implicit
def
mlOneHotEncodeModelToSpark
(
model:
OneHotEncoderModel
)
:
OneHotEncoderModel
implicit
def
mlPipelineModelToSpark
(
model:
ml.bundle.support.v1.runtime.PipelineModel
)
:
PipelineModel
implicit
def
mlRandomForestClassificationModelToSpark
(
model:
RandomForestClassificationModel
[
Node
]
)
:
RandomForestClassificationModel
implicit
def
mlRandomForestRegressionModelToSpark
(
model:
RandomForestRegressionModel
[
Node
]
)
:
RandomForestRegressionModel
implicit
def
mlReverseStringIndexerModelToSpark
(
model:
ReverseStringIndexerModel
)
:
IndexToString
implicit
def
mlSplitToSpark
(
split:
Split
)
:
Split
implicit
def
mlStandardScalerModelToSpark
(
model:
StandardScalerModel
)
:
StandardScalerModel
implicit
def
mlStringIndexerModelToSpark
(
model:
StringIndexerModel
)
:
StringIndexerModel
implicit
def
mlSupportVectorMachineModelToSpark
(
model:
SupportVectorMachineModel
)
:
SVMModel
implicit
def
mlTokenizerModelToSpark
(
model:
TokenizerModel
)
:
Tokenizer
implicit
def
mlVectorAssemblerModelToSpark
(
model:
VectorAssemblerModel
)
:
VectorAssembler
implicit
def
mlVectorToSpark
(
vector:
Vector
)
:
Vector
implicit
def
mleapContinuousSplitToMl
(
split:
ContinuousSplit
)
:
ContinuousSplit
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
implicit
def
sparkCategoricalSplitToMl
(
split:
CategoricalSplit
)
:
CategoricalSplit
implicit
def
sparkDecisionTreeClassificationToMl
(
model:
DecisionTreeClassificationModel
)
:
DecisionTreeClassification
[
Node
]
implicit
def
sparkDecisionTreeRegressionToMl
(
model:
DecisionTreeRegressionModel
)
:
DecisionTreeRegression
[
Node
]
implicit
def
sparkHashingTermFrequencyModelToMl
(
model:
HashingTF
)
:
HashingTermFrequencyModel
implicit
def
sparkLinearRegressionModelToMl
(
model:
LinearRegressionModel
)
:
LinearRegressionModel
implicit
def
sparkLogisticRegressionModelToMl
(
model:
LogisticRegressionModel
)
:
LogisticRegressionModel
implicit
def
sparkOneHotEncoderModelToMl
(
model:
OneHotEncoderModel
)
:
OneHotEncoderModel
implicit
def
sparkPipelineModelToMl
(
model:
PipelineModel
)
:
ml.bundle.support.v1.runtime.PipelineModel
implicit
def
sparkRandomForestClassificationModelToMl
(
model:
RandomForestClassificationModel
)
:
RandomForestClassificationModel
[
Node
]
implicit
def
sparkRandomForestRegressionModelToMl
(
model:
RandomForestRegressionModel
)
:
RandomForestRegressionModel
[
Node
]
implicit
def
sparkReverseStringIndexerModelToMl
(
model:
IndexToString
)
:
ReverseStringIndexerModel
implicit
def
sparkSplitToMl
(
split:
Split
)
:
Split
implicit
def
sparkStandardScalerModelToMl
(
model:
StandardScalerModel
)
:
StandardScalerModel
implicit
def
sparkStringIndexerModelToMl
(
model:
StringIndexerModel
)
:
StringIndexerModel
implicit
def
sparkSupportVectorMachineModelToMl
(
model:
SVMModel
)
:
SupportVectorMachineModel
implicit
def
sparkTokenizerModelToMl
(
model:
Tokenizer
)
:
TokenizerModel
implicit
def
sparkVectorAssemblerModelToMl
(
model:
VectorAssembler
)
:
VectorAssemblerModel
implicit
def
sparkVectorToMl
(
vector:
Vector
)
:
Vector
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
AnyRef
def
toString
()
:
String
Definition Classes
AnyRef → Any
final
def
wait
()
:
Unit
Definition Classes
AnyRef
Annotations
@throws
(
...
)
final
def
wait
(
arg0:
Long
,
arg1:
Int
)
:
Unit
Definition Classes
AnyRef
Annotations
@throws
(
...
)
final
def
wait
(
arg0:
Long
)
:
Unit
Definition Classes
AnyRef
Annotations
@throws
(
...
)
Inherited from
AnyRef
Inherited from
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Ungrouped
Created by hollinwilkins on 3/28/16.