ml
.
combust
.
mleap
.
core
.
types
NodeShape
object
NodeShape
extends
Serializable
Linear Supertypes
Serializable
,
Serializable
,
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NodeShape
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final
def
!=
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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final
def
!=
(
arg0:
Any
)
:
Boolean
Definition Classes
Any
final
def
##
()
:
Int
Definition Classes
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final
def
==
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
Any
def
apply
(
inputs:
Seq
[
Socket
]
,
outputs:
Seq
[
Socket
]
)
:
NodeShape
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
def
basicClassifier
(
featuresSize:
Int
,
base:
BasicType
=
BasicType.Double
,
featuresCol:
String
=
"features"
,
predictionCol:
String
=
"prediction"
)
:
NodeShape
def
basicCluster
(
featuresSize:
Int
,
base:
BasicType
=
BasicType.Double
,
outputType:
DataType
=
ScalarType.Int
,
featuresCol:
String
=
"features"
,
predictionCol:
String
=
"prediction"
)
:
NodeShape
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
...
)
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
def
equals
(
arg0:
Any
)
:
Boolean
Definition Classes
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def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
Definition Classes
AnyRef → Any
def
hashCode
()
:
Int
Definition Classes
AnyRef → Any
final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
def
probabilisticClassifier
(
featuresSize:
Int
,
numClasses:
Int
,
base:
BasicType
=
BasicType.Double
,
featuresCol:
String
=
"features"
,
predictionCol:
String
=
"prediction"
,
rawPredictionCol:
Option
[
String
] =
None
,
probabilityCol:
Option
[
String
] =
None
)
:
NodeShape
def
probabilisticCluster
(
featuresSize:
Int
,
base:
BasicType
=
BasicType.Double
,
outputType:
DataType
=
ScalarType.Int
,
featuresCol:
String
=
"features"
,
predictionCol:
String
=
"prediction"
,
probabilityCol:
Option
[
String
] =
None
)
:
NodeShape
def
regression
(
featuresSize:
Int
,
base:
BasicType
=
BasicType.Double
,
featuresCol:
String
=
"features"
,
predictionCol:
String
=
"prediction"
)
:
NodeShape
def
scalar
(
inputBase:
BasicType
=
BasicType.Double
,
outputBase:
BasicType
=
BasicType.Double
,
inputPort:
String
=
"input"
,
outputPort:
String
=
"output"
,
inputCol:
String
=
"input"
,
outputCol:
String
=
"output"
)
:
NodeShape
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
AnyRef
def
toString
()
:
String
Definition Classes
AnyRef → Any
def
vector
(
inputSize:
Int
,
outputSize:
Int
,
inputBase:
BasicType
=
BasicType.Double
,
outputBase:
BasicType
=
BasicType.Double
,
inputPort:
String
=
"input"
,
outputPort:
String
=
"output"
,
inputCol:
String
=
"input"
,
outputCol:
String
=
"output"
)
:
NodeShape
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
Serializable
Inherited from
Serializable
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