ClassificationModel<T> Methods

Methods

Compute() Computes the model.
(Inherited from Model)
Obsolete.
Compute(ParallelOptions) Computes the model.
(Inherited from Model)
Obsolete.
Contains Returns whether another ClassificationModel<T> is nested within this instance.
EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
FinalizeAllows 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)
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetTypeGets the Type of the current instance.
(Inherited from Object)
MemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Predict(IDataFrame, ModelInputFormat) Predicts the most likely class based on the specified features.
Predict(Matrix<T>, ModelInputFormat) Predicts the value of the output corresponding to the specified features.
Predict(Vector<T>, ModelInputFormat) Predicts the value of the output corresponding to the specified input.
PredictCore(Matrix<T>, Boolean) Predicts the value of the dependent variable based on the specified values of the features.
PredictCore(Vector<T>, 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(Matrix<T>, ModelInputFormat) Predicts the value of the output corresponding to the specified features.
PredictProbabilities(Vector<T>, ModelInputFormat) Predicts the value of the output corresponding to the specified input.
PredictProbabilitiesCore(Matrix<T>, Matrix<Double>, Boolean) Predicts the probabilities of each class based on the specified values of the features.
PredictProbabilitiesCore(Vector<T>, Vector<Double>, Boolean) Predicts the probabilities of each class based on the specified values of the features.
PredictProbabilitiesInto(IDataFrame, Matrix<Double>, ModelInputFormat) Predicts the value of the output corresponding to the specified input.
PredictProbabilitiesInto(Matrix<T>, Matrix<Double>, ModelInputFormat) Predicts the value of the output corresponding to the specified features.
PredictProbabilitiesInto(Vector<T>, Vector<Double>, ModelInputFormat) Predicts the probabilities of each class based on the specified features.
ResetComputation Clears all fitted model parameters.
(Inherited from Model)
Obsolete.
ResetFit Clears all fitted 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)
ToStringReturns a string that represents the current object.
(Inherited from Model)

See Also