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LinearRegression Constructor

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 NameDescription
Public methodLinearRegression Default constructor. Constructs a LinearRegression instance with all sizes equal to zero.
Public methodLinearRegression(DataFrame, IDFColumn) Constructs a LinearRegression instance with the specifed regresssion data and observation column. By default, the model parameter values are computed using a QR factorization.
Public methodLinearRegression(DataFrame, Int32) Constructs a LinearRegression instance with the specifed regresssion data and an index to the observation column. By default, the model parameter values are computed using a QR factorization.
Public methodLinearRegression(DoubleMatrix, DoubleVector) Constructs a LinearRegression instance with the specifed regresssion matrix and observation vector. By default, the model parameter values are computed using a QR factorization.
Public methodLinearRegression(DataFrame, IDFColumn, IRegressionCalculation) Constructs a LinearRegression instance with the specifed regresssion data and observation column. Model parameter values are computed using the specified regression calculator.
Public methodLinearRegression(DataFrame, IDFColumn, Boolean) 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.
Public methodLinearRegression(DataFrame, Int32, IRegressionCalculation) Constructs a LinearRegression instance with the specifed regresssion data and an index to the observation column. Model parameter values are computed using the specified regression calculator.
Public methodLinearRegression(DataFrame, Int32, Boolean) Constructs a LinearRegression instance with the specifed regresssion data and an index to the observation column, optionally adding an intercept parameter. By default, the model parameter values are computed using a QR factorization.
Public methodLinearRegression(DoubleMatrix, DoubleVector, IRegressionCalculation) Constructs a LinearRegression instance with the specifed regresssion matrix and observation vector. Model parameter values are computed using the specified regression calculator.
Public methodLinearRegression(DoubleMatrix, DoubleVector, Boolean) Constructs a LinearRegression instance with the specifed regresssion matrix and observation vector, optionally adding an intercept parameter. By default, the model parameter values are computed using a QR factorization.
Public methodLinearRegression(DataFrame, IDFColumn, Boolean, IRegressionCalculation) Constructs a LinearRegression instance with the specifed regresssion data and observation column, optionally adding an intercept parameter. The model parameter values are computed using the specified regression calculator.
Public methodLinearRegression(DataFrame, Int32, Boolean, IRegressionCalculation) Constructs a LinearRegression instance with the specifed regresssion data and an index to the observation column, optionally adding an intercept parameter. The model parameter values are computed using the specified regression calculator.
Public methodLinearRegression(DoubleMatrix, DoubleVector, Boolean, IRegressionCalculation) Constructs a LinearRegression instance with the specifed regresssion matrix and observation vector, optionally adding an intercept parameter. The model parameter values are computed using the specified regression calculator.
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