Represents a statistical model used for classification.
Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.17114.0)
| Name | Description |
---|
 | BaseFeatureIndex |
Gets an index containing the keys of the columns
that are required inputs to the model.
(Inherited from Model.) |
 | CanPredictProbabilities |
Gets whether the classifier supports predicting probabilities
for each class.
|
 | CategoryIndex |
Gets the category index of the dependent variable or targets.
|
 | Computed |
Gets whether the regression model has been computed.
(Inherited from Model.) |
 | Data |
Gets an object that contains all the data used as input to the model.
(Inherited from Model.) |
 | DependentVariable |
Gets a vector that contains the dependent variable that is to be fitted.
|
 | IndependentVariables |
Gets a matrix whose columns contain the independent variables in the model.
|
 | InputSchema |
Gets the schema for the features used for fitting the model.
(Inherited from Model.) |
 | LogLikelihood |
Gets the log-likelihood of the fitted model.
|
 | 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.) |
 | ModelSubset |
Returns an array of indexes of final model features in the
set of input features.
(Inherited from 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.) |
 | ParameterValues |
Gets the collection of parameters associated with this model.
|
 | PredictedLogProbabilities |
Gets a vector containing the model's predicted values for the dependent variable.
|
 | PredictedProbabilities |
Gets a vector containing the model's predicted values for the dependent variable.
|
 | Predictions |
Gets a vector containing the model's predicted values for the dependent variable.
|
 | ProbabilityResiduals |
Gets a matrix containing the residuals of the model.
|
 | Status |
Gets the status of the model, which determines which information is available.
(Inherited from Model.) |
 | SupportsWeights |
Indicates whether the model supports case weights.
(Inherited from Model.) |
 | Weights |
Gets or sets the actual weights.
(Inherited from Model.) |
| Name | Description |
---|
 | Compute |
Computes the model.
(Inherited from Model.) |
 | Compute(ParallelOptions) |
Computes the model.
(Inherited from Model.) |
 | ComputeModel |
Computes the model.
(Inherited from Model.) |
 | ComputeModel(ParallelOptions) |
Fits the model to the data.
(Inherited from Model.) |
 | ComputeModel(ModelInput, ParallelOptions) |
Computes the model using the specified parallelization options.
(Inherited from Model.) |
 | Contains |
Returns whether another ClassificationModel is nested
within this instance.
|
 | Equals | Determines whether the specified Object is equal to the current Object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
 | Fit |
Fits the model to the data.
(Inherited from Model.) |
 | Fit(ParallelOptions) |
Fits the model to the data.
(Inherited from Model.) |
 | FitCore |
Computes the model to the specified input
using the specified parallelization options.
(Inherited from Model.) |
 | GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
 | GetType | Gets the Type of the current instance. (Inherited from Object.) |
 | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
 | Predict(IDataFrame, ModelInputFormat) |
Predicts the most likely class based on
the specified features.
|
 | Predict(MatrixDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified features.
|
 | Predict(VectorDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
|
 | PredictCore(MatrixDouble, Boolean, Boolean) |
Predicts the value of the dependent variable based on
the specified values of the features.
|
 | PredictCore(VectorDouble, Boolean, Boolean) |
Predicts the class based on
the specified values of the features.
|
 | PredictProbabilities(IDataFrame, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
|
 | PredictProbabilities(MatrixDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified features.
|
 | PredictProbabilities(VectorDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
|
 | PredictProbabilitiesCore(MatrixDouble, MatrixDouble, Boolean, Boolean) |
Predicts the probabilities of each class based on
the specified values of the features.
|
 | PredictProbabilitiesCore(VectorDouble, VectorDouble, Boolean, Boolean) |
Predicts the probabilities of each class based on
the specified values of the features.
|
 | PredictProbabilitiesInto(IDataFrame, MatrixDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
|
 | PredictProbabilitiesInto(MatrixDouble, MatrixDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified features.
|
 | PredictProbabilitiesInto(VectorDouble, VectorDouble, ModelInputFormat) |
Predicts the probabilities of each class based on
the specified features.
|
 | ResetComputation |
Clears all computed model parameters.
(Inherited from Model.) |
 | SetDataSource |
Uses the specified data frame as the source for all input variables.
(Inherited from Model.) |
 | Summarize |
Returns a string containing a human-readable summary of the object using default options.
(Inherited from Model.) |
 | Summarize(SummaryOptions) |
Returns a string containing a human-readable summary of the object using the specified options.
(Inherited from Model.) |
 | ToString | Returns a string that represents the current object. (Inherited from Model.) |
This is an abstract base class and cannot be instantiated directly. Instead, use one of the
inherited types, as listed in the table below: