io
.
github
.
mandar2812
.
dynaml
.
evaluation
MultiRegressionMetrics
Related Docs:
object MultiRegressionMetrics
|
package evaluation
class
MultiRegressionMetrics
extends
Metrics
[
DenseVector
[
Double
]]
Linear Supertypes
Metrics
[
DenseVector
[
Double
]],
AnyRef
,
Any
Ordering
Alphabetic
By Inheritance
Inherited
MultiRegressionMetrics
Metrics
AnyRef
Any
Hide All
Show All
Visibility
Public
All
Instance Constructors
new
MultiRegressionMetrics
(
scoresAndLabels:
List
[(
DenseVector
[
Double
],
DenseVector
[
Double
])]
,
len:
Int
)
Value Members
final
def
!=
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
final
def
##
()
:
Int
Definition Classes
AnyRef → Any
def
++
(
otherMetrics:
MultiRegressionMetrics
)
:
MultiRegressionMetrics
final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
val
Rsq
:
DenseVector
[
Double
]
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
...
)
val
corr
:
DenseVector
[
Double
]
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
generatePlots
()
:
Unit
Definition Classes
MultiRegressionMetrics
→
Metrics
final
def
getClass
()
:
Class
[_]
Definition Classes
AnyRef → Any
def
hashCode
()
:
Int
Definition Classes
AnyRef → Any
final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
def
kpi
()
:
DenseVector
[
DenseVector
[
Double
]]
Definition Classes
MultiRegressionMetrics
→
Metrics
val
len
:
Int
val
length
:
DenseVector
[
Double
]
val
mae
:
DenseVector
[
Double
]
val
modelYield
:
DenseVector
[
Double
]
var
name
:
String
Attributes
protected
Definition Classes
Metrics
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
val
num_outputs
:
Int
val
onesVec
:
DenseVector
[
Double
]
val
predictionEfficiency
:
DenseVector
[
Double
]
def
print
()
:
Unit
Definition Classes
MultiRegressionMetrics
→
Metrics
def
residuals
()
:
List
[(
DenseVector
[
Double
],
DenseVector
[
Double
])]
val
rmse
:
DenseVector
[
Double
]
val
rmsle
:
DenseVector
[
Double
]
val
scoresAndLabels
:
List
[(
DenseVector
[
Double
],
DenseVector
[
Double
])]
Attributes
protected
Definition Classes
MultiRegressionMetrics
→
Metrics
def
scores_and_labels
()
:
List
[(
DenseVector
[
Double
],
DenseVector
[
Double
])]
def
setName
(
n:
String
)
:
MultiRegressionMetrics
.this.type
Definition Classes
Metrics
val
sigma
:
DenseVector
[
Double
]
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
Metrics
[
DenseVector
[
Double
]]
Inherited from
AnyRef
Inherited from
Any
Ungrouped