 | LinearRegression(DataFrame, IDFColumn, Boolean) Constructor |
Constructs a LinearRegression instance with the specifed regresssion data
and observation column, optionally adding an intercept parameter. By default,
the model parameter values are computed using a QR factorization.
Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntaxpublic LinearRegression(
DataFrame data,
IDFColumn observations,
bool addIntercept
)
Public Sub New (
data As DataFrame,
observations As IDFColumn,
addIntercept As Boolean
)
public:
LinearRegression(
DataFrame^ data,
IDFColumn^ observations,
bool addIntercept
)
new :
data : DataFrame *
observations : IDFColumn *
addIntercept : bool -> LinearRegressionParameters
- data DataFrame
- Regression data.
- observations IDFColumn
- Column of observations.
- addIntercept Boolean
- If true, a column of ones is prepended onto
the data in the regression data data, thus adding an intercept to
the model. If false, the data in the regression data is used as given.
Exceptions | Exception | Condition |
|---|
| MismatchedSizeException | Thrown if the number of rows
in the regression matrix is not equal to the length of the observation
vector.
|
See Also 
