org
.
incal
.
spark_ml
.
models
regression
package
regression
Visibility
Public
All
Type Members
case class
GeneralizedLinearRegression
(
_id:
Option
[
BSONObjectID
] =
None
,
regularization:
ValueOrSeq
[
Double
] =
Left(None)
,
link:
Option
[
GeneralizedLinearRegressionLinkType.Value
] =
None
,
maxIteration:
ValueOrSeq
[
Int
] =
Left(None)
,
tolerance:
ValueOrSeq
[
Double
] =
Left(None)
,
fitIntercept:
Option
[
Boolean
] =
None
,
family:
Option
[
GeneralizedLinearRegressionFamily.Value
] =
None
,
solver:
Option
[
GeneralizedLinearRegressionSolver.Value
] =
None
,
name:
Option
[
String
] =
None
,
createdById:
Option
[
BSONObjectID
] =
None
,
timeCreated:
Date
=
new Date()
)
extends
Regressor
with
Product
with
Serializable
case class
GradientBoostRegressionTree
(
_id:
Option
[
BSONObjectID
] =
None
,
core:
TreeCore
=
TreeCore()
,
maxIteration:
ValueOrSeq
[
Int
] =
Left(None)
,
stepSize:
ValueOrSeq
[
Double
] =
Left(None)
,
subsamplingRate:
ValueOrSeq
[
Double
] =
Left(None)
,
lossType:
Option
[
GBTRegressionLossType.Value
] =
None
,
name:
Option
[
String
] =
None
,
createdById:
Option
[
BSONObjectID
] =
None
,
timeCreated:
Date
=
new Date()
)
extends
Regressor
with
Product
with
Serializable
case class
LinearRegression
(
_id:
Option
[
BSONObjectID
] =
None
,
regularization:
ValueOrSeq
[
Double
] =
Left(None)
,
elasticMixingRatio:
ValueOrSeq
[
Double
] =
Left(None)
,
maxIteration:
ValueOrSeq
[
Int
] =
Left(None)
,
tolerance:
ValueOrSeq
[
Double
] =
Left(None)
,
fitIntercept:
Option
[
Boolean
] =
None
,
solver:
Option
[
RegressionSolver.Value
] =
None
,
standardization:
Option
[
Boolean
] =
None
,
aggregationDepth:
ValueOrSeq
[
Int
] =
Left(None)
,
name:
Option
[
String
] =
None
,
createdById:
Option
[
BSONObjectID
] =
None
,
timeCreated:
Date
=
new Date()
)
extends
Regressor
with
Product
with
Serializable
case class
RandomRegressionForest
(
_id:
Option
[
BSONObjectID
] =
None
,
core:
TreeCore
=
TreeCore()
,
numTrees:
ValueOrSeq
[
Int
] =
Left(None)
,
subsamplingRate:
ValueOrSeq
[
Double
] =
Left(None)
,
impurity:
Option
[
RegressionTreeImpurity.Value
] =
None
,
featureSubsetStrategy:
Option
[
RandomRegressionForestFeatureSubsetStrategy.Value
] =
None
,
name:
Option
[
String
] =
None
,
createdById:
Option
[
BSONObjectID
] =
None
,
timeCreated:
Date
=
new Date()
)
extends
Regressor
with
Product
with
Serializable
case class
RegressionTree
(
_id:
Option
[
BSONObjectID
] =
None
,
core:
TreeCore
=
TreeCore()
,
impurity:
Option
[
RegressionTreeImpurity.Value
] =
None
,
name:
Option
[
String
] =
None
,
createdById:
Option
[
BSONObjectID
] =
None
,
timeCreated:
Date
=
new Date()
)
extends
Regressor
with
Product
with
Serializable
trait
Regressor
extends
AnyRef
Value Members
object
GBTRegressionLossType
extends
Enumeration
object
GeneralizedLinearRegressionFamily
extends
Enumeration
object
GeneralizedLinearRegressionLinkType
extends
Enumeration
object
GeneralizedLinearRegressionSolver
extends
Enumeration
object
RandomRegressionForestFeatureSubsetStrategy
extends
Enumeration
object
RegressionEvalMetric
extends
Enumeration
object
RegressionSolver
extends
Enumeration
object
RegressionTreeImpurity
extends
Enumeration
Ungrouped