keystoneml
.
nodes
.
learning
Gradient
trait
Gradient
[
T <:
Vector
[
Double
]
]
extends
Serializable
Computes a gradient given vectors as data, labels, and model weights
Linear Supertypes
Serializable
,
Serializable
,
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,
Any
Known Subclasses
LeastSquaresDenseGradient
,
LeastSquaresSparseGradient
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Gradient
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Abstract Value Members
abstract
def
compute
(
numFeatures:
Int
,
numClasses:
Int
,
data:
Iterator
[
T
]
,
labels:
Iterator
[
DenseVector
[
Double
]]
,
weights:
DenseMatrix
[
Double
]
)
: (
DenseMatrix
[
Double
],
Double
)
Concrete Value Members
final
def
!=
(
arg0:
AnyRef
)
:
Boolean
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final
def
!=
(
arg0:
Any
)
:
Boolean
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final
def
##
()
:
Int
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final
def
==
(
arg0:
AnyRef
)
:
Boolean
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final
def
==
(
arg0:
Any
)
:
Boolean
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final
def
asInstanceOf
[
T0
]
:
T0
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def
clone
()
:
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]
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def
eq
(
arg0:
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)
:
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def
equals
(
arg0:
Any
)
:
Boolean
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def
finalize
()
:
Unit
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]
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final
def
getClass
()
:
Class
[_]
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def
hashCode
()
:
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def
isInstanceOf
[
T0
]
:
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final
def
ne
(
arg0:
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)
:
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def
notify
()
:
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final
def
notifyAll
()
:
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final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
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def
toString
()
:
String
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final
def
wait
()
:
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def
wait
(
arg0:
Long
,
arg1:
Int
)
:
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)
final
def
wait
(
arg0:
Long
)
:
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Inherited from
Serializable
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Serializable
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Computes a gradient given vectors as data, labels, and model weights