org
.
incal
.
spark_ml
.
models
.
clustering
LDA
Related Doc:
package clustering
case class
LDA
(
_id:
Option
[
BSONObjectID
] =
None
,
k:
Int
,
maxIteration:
Option
[
Int
] =
None
,
seed:
Option
[
Long
] =
None
,
checkpointInterval:
Option
[
Int
] =
None
,
docConcentration:
Option
[
Seq
[
Double
]] =
None
,
topicConcentration:
Option
[
Double
] =
None
,
optimizer:
Option
[
LDAOptimizer.Value
] =
None
,
learningOffset:
Option
[
Double
] =
None
,
learningDecay:
Option
[
Double
] =
None
,
subsamplingRate:
Option
[
Double
] =
None
,
optimizeDocConcentration:
Option
[
Boolean
] =
None
,
keepLastCheckpoint:
Option
[
Boolean
] =
None
,
name:
Option
[
String
] =
None
,
createdById:
Option
[
BSONObjectID
] =
None
,
timeCreated:
Date
=
new Date()
)
extends
Clustering
with
Product
with
Serializable
Linear Supertypes
Serializable
,
Serializable
,
Product
,
Equals
,
Clustering
,
AnyRef
,
Any
Ordering
Alphabetic
By Inheritance
Inherited
LDA
Serializable
Serializable
Product
Equals
Clustering
AnyRef
Any
Hide All
Show All
Visibility
Public
All
Instance Constructors
new
LDA
(
_id:
Option
[
BSONObjectID
] =
None
,
k:
Int
,
maxIteration:
Option
[
Int
] =
None
,
seed:
Option
[
Long
] =
None
,
checkpointInterval:
Option
[
Int
] =
None
,
docConcentration:
Option
[
Seq
[
Double
]] =
None
,
topicConcentration:
Option
[
Double
] =
None
,
optimizer:
Option
[
LDAOptimizer.Value
] =
None
,
learningOffset:
Option
[
Double
] =
None
,
learningDecay:
Option
[
Double
] =
None
,
subsamplingRate:
Option
[
Double
] =
None
,
optimizeDocConcentration:
Option
[
Boolean
] =
None
,
keepLastCheckpoint:
Option
[
Boolean
] =
None
,
name:
Option
[
String
] =
None
,
createdById:
Option
[
BSONObjectID
] =
None
,
timeCreated:
Date
=
new Date()
)
Value Members
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
val
_id
:
Option
[
BSONObjectID
]
Definition Classes
LDA
→
Clustering
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
val
checkpointInterval
:
Option
[
Int
]
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
...
)
val
createdById
:
Option
[
BSONObjectID
]
Definition Classes
LDA
→
Clustering
val
docConcentration
:
Option
[
Seq
[
Double
]]
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
Definition Classes
AnyRef → Any
final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
val
k
:
Int
val
keepLastCheckpoint
:
Option
[
Boolean
]
val
learningDecay
:
Option
[
Double
]
val
learningOffset
:
Option
[
Double
]
val
maxIteration
:
Option
[
Int
]
val
name
:
Option
[
String
]
Definition Classes
LDA
→
Clustering
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
val
optimizeDocConcentration
:
Option
[
Boolean
]
val
optimizer
:
Option
[
LDAOptimizer.Value
]
val
seed
:
Option
[
Long
]
val
subsamplingRate
:
Option
[
Double
]
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
AnyRef
val
timeCreated
:
Date
Definition Classes
LDA
→
Clustering
val
topicConcentration
:
Option
[
Double
]
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
Inherited from
Product
Inherited from
Equals
Inherited from
Clustering
Inherited from
AnyRef
Inherited from
Any
Ungrouped