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ml-pipe
LinearRegressor
Class LinearRegressor
Hierarchy
LinearRegressor
Implements
Estimator
Index
Constructors
constructor
Properties
fitted
model
Methods
fit
predict
Constructors
constructor
new
Linear
Regressor
(
intercept
?:
boolean
)
:
LinearRegressor
Parameters
Optional
intercept:
boolean
Returns
LinearRegressor
Properties
fitted
fitted
:
boolean
model
model
:
undefined
|
MultivariateLinearRegression
Methods
fit
fit
(
X
:
Matrix
, y
:
Matrix
)
:
Promise
<
void
>
Parameters
X:
Matrix
y:
Matrix
Returns
Promise
<
void
>
predict
predict
(
X
:
Matrix
)
:
Matrix
Parameters
X:
Matrix
Returns
Matrix
Exports
Linear
Regressor
constructor
fitted
model
fit
predict