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ai.dragonfly.math.matrix
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ai.dragonfly.math.matrix.decomposition
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ai.dragonfly.math.matrix.ml.supervized.regression
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ai.dragonfly.math.matrix.ml.supervized.regression
/
LinearRegressionProblem
LinearRegressionProblem
ai.dragonfly.math.matrix.ml.supervized.regression.LinearRegressionProblem
See the
LinearRegressionProblem
companion object
trait
LinearRegressionProblem
[
M
<:
Int
,
N
<:
Int
](
using
x$1
:
ValueOf
[
M
],
x$2
:
ValueOf
[
N
])
Attributes
Companion:
object
Source:
LinearRegression.scala
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trait
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Concrete methods
def
size
:
Double
Attributes
Source:
LinearRegression.scala
Abstract fields
val
X
:
Matrix
[
M
,
N
]
Attributes
Source:
LinearRegression.scala
val
Y
:
Matrix
[
M
, 1]
Attributes
Source:
LinearRegression.scala
val
`EstGaussian(Y)`
:
EstimatedGaussian
Attributes
Source:
LinearRegression.scala
val
bias
:
Double
Attributes
Source:
LinearRegression.scala
val
mean
:
Vec
[
N
]
Attributes
Source:
LinearRegression.scala
Concrete fields
val
dimension
:
Int
Attributes
Source:
LinearRegression.scala
val
sampleSize
:
Int
Attributes
Source:
LinearRegression.scala