org
.
apache
.
mahout
.
math
.
algorithms
.
regression
OrdinaryLeastSquares
class
OrdinaryLeastSquares
[
K
]
extends
LinearRegressorFitter
[
K
]
Linear Supertypes
LinearRegressorFitter
[
K
],
RegressorFitter
[
K
],
SupervisedFitter
[
K
,
RegressorModel
[
K
]],
Fitter
,
AnyRef
,
Any
Ordering
Alphabetic
By inheritance
Inherited
OrdinaryLeastSquares
LinearRegressorFitter
RegressorFitter
SupervisedFitter
Fitter
AnyRef
Any
Hide All
Show all
Learn more about member selection
Visibility
Public
All
Instance Constructors
new
OrdinaryLeastSquares
()
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
Definition Classes
LinearRegressorFitter
var
calcStandardErrors
:
Boolean
Definition Classes
LinearRegressorFitter
def
calculateCommonStatistics
[
M
[
K
]
<:
LinearRegressorModel
[
K
]
]
(
model:
M
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
residuals:
DrmLike
[
K
]
)
:
M
[
K
]
Definition Classes
LinearRegressorFitter
def
calculateStandardError
[
M
[
K
]
<:
LinearRegressorModel
[
K
]
]
(
X:
DrmLike
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
drmXtXinv:
Matrix
,
model:
M
[
K
]
)
:
M
[
K
]
Definition Classes
LinearRegressorFitter
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
fit
(
drmFeatures:
DrmLike
[
K
]
,
drmTarget:
DrmLike
[
K
]
,
hyperparameters: (
Symbol
,
Any
)*
)
:
OrdinaryLeastSquaresModel
[
K
]
Definition Classes
OrdinaryLeastSquares
→
LinearRegressorFitter
→
SupervisedFitter
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
Definition Classes
LinearRegressorFitter
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
]
Definition Classes
LinearRegressorFitter
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
Definition Classes
LinearRegressorFitter
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
LinearRegressorFitter
[
K
]
Inherited from
RegressorFitter
[
K
]
Inherited from
SupervisedFitter
[
K
,
RegressorModel
[
K
]]
Inherited from
Fitter
Inherited from
AnyRef
Inherited from
Any
Ungrouped