org
.
apache
.
mahout
.
math
.
algorithms
.
regression
LinearRegressorFitter
trait
LinearRegressorFitter
[
K
]
extends
RegressorFitter
[
K
]
Linear Supertypes
RegressorFitter
[
K
],
SupervisedFitter
[
K
,
RegressorModel
[
K
]],
Fitter
,
AnyRef
,
Any
Known Subclasses
CochraneOrcutt
,
OrdinaryLeastSquares
Ordering
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By inheritance
Inherited
LinearRegressorFitter
RegressorFitter
SupervisedFitter
Fitter
AnyRef
Any
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Public
All
Abstract Value Members
abstract
def
fit
(
drmX:
DrmLike
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
hyperparameters: (
Symbol
,
Any
)*
)
:
LinearRegressorModel
[
K
]
Definition Classes
LinearRegressorFitter
→
SupervisedFitter
Concrete Value Members
final
def
!=
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
!=
(
arg0:
Any
)
:
Boolean
Definition Classes
Any
final
def
##
()
:
Int
Definition Classes
AnyRef → Any
final
def
==
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
Any
var
addIntercept
:
Boolean
Definition Classes
RegressorFitter
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
var
calcCommonStatistics
:
Boolean
var
calcStandardErrors
:
Boolean
def
calculateCommonStatistics
[
M
[
K
]
<:
LinearRegressorModel
[
K
]
]
(
model:
M
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
residuals:
DrmLike
[
K
]
)
:
M
[
K
]
def
calculateStandardError
[
M
[
K
]
<:
LinearRegressorModel
[
K
]
]
(
X:
DrmLike
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
drmXtXinv:
Matrix
,
model:
M
[
K
]
)
:
M
[
K
]
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
AnyRef → Any
def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
classOf[java.lang.Throwable]
)
def
fitPredict
(
drmX:
DrmLike
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
hyperparameters: (
Symbol
,
Any
)*
)
:
DrmLike
[
K
]
Definition Classes
RegressorFitter
def
generateSummaryString
[
M
[
K
]
<:
LinearRegressorModel
[
K
]
]
(
model:
M
[
K
]
)
:
String
final
def
getClass
()
:
Class
[_]
Definition Classes
AnyRef → Any
def
hashCode
()
:
Int
Definition Classes
AnyRef → Any
final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
var
model
:
RegressorModel
[
K
]
Definition Classes
RegressorFitter
def
modelPostprocessing
[
M
[
K
]
<:
LinearRegressorModel
[
K
]
]
(
model:
M
[
K
]
,
X:
DrmLike
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
drmXtXinv:
Matrix
)
:
M
[
K
]
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
def
setStandardHyperparameters
(
hyperparameters:
Map
[
Symbol
,
Any
] =
Map('foo -> None)
)
:
Unit
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
RegressorFitter
[
K
]
Inherited from
SupervisedFitter
[
K
,
RegressorModel
[
K
]]
Inherited from
Fitter
Inherited from
AnyRef
Inherited from
Any
Ungrouped