OlsModelParameters Class
Definition
Model parameters for OlsTrainer.
public sealed class OlsModelParameters : Microsoft.ML.Trainers.RegressionModelParameters
type OlsModelParameters = class
inherit RegressionModelParameters
Public NotInheritable Class OlsModelParameters
Inherits RegressionModelParameters
 Inheritance

OlsModelParameters
Fields
RSquared 
The coefficient of determination. 
RSquaredAdjusted 
The adjusted coefficient of determination. It is only possible to produce
an adjusted Rsquared if there are more examples than parameters in the model
plus one. If this condition is not met, this value will be 
Properties
Bias 
The predictor's bias term. (Inherited from LinearModelParameters) 
HasStatistics 
Whether the model has per parameter statistics. This is false iff StandardErrors, TValues, and PValues are all null. A model may not have per parameter statistics because either there were not more examples than parameters in the model, or because they were explicitly suppressed in training by setting CalculateStatistics to false. 
PValues 
pvalues corresponding to each of the model standard errors. This is 
StandardErrors 
The standard error per model parameter, where the first corresponds to the bias,
and all subsequent correspond to each weight in turn. This is 
TValues 
tStatistic values corresponding to each of the model standard errors. This is

Weights 
The predictor's feature weight coefficients. (Inherited from LinearModelParameters) 
Explicit Interface Implementations
ICalculateFeatureContribution.FeatureContributionCalculator 
Used to determine the contribution of each feature to the score of an example by FeatureContributionCalculatingTransformer. For linear models, the contribution of a given feature is equal to the product of feature value times the corresponding weight. (Inherited from LinearModelParameters) 
ICanSaveModel.Save(ModelSaveContext)  (Inherited from ModelParametersBase<TOutput>) 
Applies to
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