LinearRegressionModel Properties

Properties

AdjustedRSquared Gets the adjusted R Squared value for the regression.
(Inherited from RegressionModel<T>)
AnovaTable Gets the AnovaTable that summarizes the results of this model.
(Inherited from RegressionModel<T>)
BaseFeatureIndex Gets an index containing the keys of the columns that are required inputs to the model.
(Inherited from Model)
CoefficientOfVariation Gets the coefficient of variation for the regression.
Computed Gets whether the model has been computed.
(Inherited from Model)
Obsolete.
CovarianceMatrix Gets the covariance matrix of the model parameters.
(Inherited from RegressionModel<T>)
Data Gets an object that contains all the data used as input to the model.
(Inherited from Model)
DegreesOfFreedom Gets the total degrees of freedom of the data.
(Inherited from RegressionModel<T>)
DependentVariable Gets a vector that contains the dependent variable that is to be fitted.
(Inherited from RegressionModel<T>)
Fitted Gets whether the model has been computed.
(Inherited from Model)
FStatistic Gets the F statistic for the regression.
(Inherited from RegressionModel<T>)
IndependentVariables Gets a matrix whose columns contain the independent variables in the model.
(Inherited from RegressionModel<T>)
InputSchema Gets the schema for the features used for fitting the model.
(Inherited from Model)
Leverage Returns the leverage of each observation.
LogLikelihood Gets the log-likelihood that the model generated the data.
(Inherited from RegressionModel<T>)
MaxDegreeOfParallelism Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model)
ModelSchema Gets the collection of variables used in the model.
(Inherited from Model)
NoIntercept Gets or sets whether to include the intercept or constant term in the regression model.
NumberOfObservations Gets the number of observations the model is based on.
(Inherited from Model)
ParallelOptions Gets or sets an object that specifies how the calculation of the model should be parallelized.
(Inherited from Model)
Parameters Gets the collection of parameters associated with this model.
(Inherited from RegressionModel<T>)
ParameterValues Gets the values of the parameters associated with this model.
(Inherited from RegressionModel<T>)
PredictedRSquared Gets the predicted R Squared value of the model.
Predictions Gets a vector containing the model's predicted values for the dependent variable.
(Inherited from RegressionModel<T>)
Press Gets the predicted residual error sum of squares (PRESS) of the model.
PValue Gets the probability corresponding to the F statistic for the regression.
(Inherited from RegressionModel<T>)
Residuals Gets a vector containing the residuals of the model.
(Inherited from RegressionModel<T>)
ResidualSumOfSquares Gets the sum of squares of the residuals of the model.
(Inherited from RegressionModel<T>)
RidgeParameter Gets or sets the coefficient of the squared norm of the regression parameters for ridge regression.
RSquared Gets the R Squared value for the regression.
(Inherited from RegressionModel<T>)
StandardError Gets the standard error of the regression.
(Inherited from RegressionModel<T>)
Standardize Gets or sets whether the variables should be standardized prior to computing the regression.
Obsolete.
Status Gets the status of the model, which determines which information is available.
(Inherited from Model)
Steps Gets the collection of steps performed in a stepwise regression.
StepwiseOptions Gets or sets an object that specifies options for performing stepwise regression.
SupportsWeights Indicates whether the model supports case weights.
(Overrides Model.SupportsWeights)
VarianceInflationFactors Returns the Variance Inflation Factor (VIF) for each variable in the model.
Weights Gets or sets the actual weights.
(Inherited from Model)

See Also