io
.
github
.
edouardfouche
.
generators
Hypercube
Related Doc:
package generators
case class
Hypercube
(
nDim:
Int
,
noise:
Double
,
noisetype:
String
,
discretize:
Int
)
extends
DataGenerator
with
Product
with
Serializable
Linear Supertypes
Serializable
,
Serializable
,
Product
,
Equals
,
DataGenerator
,
AnyRef
,
Any
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Inherited
Hypercube
Serializable
Serializable
Product
Equals
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All
Instance Constructors
new
Hypercube
(
nDim:
Int
,
noise:
Double
,
noisetype:
String
,
discretize:
Int
)
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
def
addGaussianNoise
(
x:
Double
,
noise:
Double
)
:
Double
Definition Classes
DataGenerator
def
addUniformNoise
(
x:
Double
,
noise:
Double
)
:
Double
Definition Classes
DataGenerator
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
...
)
val
discretize
:
Int
Definition Classes
Hypercube
→
DataGenerator
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]
)
def
generate
(
n:
Int
)
:
Array
[
Array
[
Double
]]
Definition Classes
DataGenerator
final
def
getClass
()
:
Class
[_]
Definition Classes
AnyRef → Any
def
getPoints
(
n:
Int
)
:
Array
[
Array
[
Double
]]
Definition Classes
Hypercube
→
DataGenerator
lazy val
id
:
String
Definition Classes
DataGenerator
final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
def
linearNormalization
(
x:
Double
)
:
Double
Definition Classes
DataGenerator
val
nDim
:
Int
Definition Classes
Hypercube
→
DataGenerator
val
name
:
String
Definition Classes
Hypercube
→
DataGenerator
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
val
noise
:
Double
Definition Classes
Hypercube
→
DataGenerator
def
noiselessPowerNormalization
(
x:
Double
,
pow:
Double
)
:
Double
Definition Classes
DataGenerator
val
noisetype
:
String
Definition Classes
Hypercube
→
DataGenerator
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
def
plot
(
n:
Int
,
path:
String
=
...
,
filename:
String
=
this.id
)
:
Unit
Definition Classes
DataGenerator
def
postprocess
(
data:
Array
[
Array
[
Double
]]
,
noise:
Double
,
t:
String
=
"gaussian"
)
:
Array
[
Array
[
Double
]]
Definition Classes
DataGenerator
def
powerNormalization
(
x:
Double
,
pow:
Double
)
:
Double
Definition Classes
DataGenerator
def
save
(
n:
Int
,
path:
String
=
System.getProperty("user.dir")
,
filename:
String
=
this.id
)
:
Unit
Definition Classes
DataGenerator
lazy val
shortname
:
String
Definition Classes
DataGenerator
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
AnyRef
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
DataGenerator
Inherited from
AnyRef
Inherited from
Any
Ungrouped