MultilabelScoreClassifierBaseTInput Methods 
The MultilabelScoreClassifierBaseTInput generic type exposes the following members.
Name  Description  

Decide(TInput) 
Computes classlabel decisions for a given set of input vectors.
(Inherited from ClassifierBaseTInput, TClasses.)  
Decide(TInput) 
Computes a classlabel decision for a given input.
(Inherited from MultilabelClassifierBaseTInput.)  
Decide(TInput, TClasses) 
Computes a classlabel decision for a given input.
(Inherited from ClassifierBaseTInput, TClasses.)  
Decide(TInput, Boolean) 
Computes classlabel decisions for the given input.
(Inherited from MultilabelClassifierBaseTInput.)  
Decide(TInput, Double) 
Computes classlabel decisions for the given input.
(Inherited from MultilabelClassifierBaseTInput.)  
Decide(TInput, Int32) 
Computes whether a class label applies to an input vector.
(Inherited from MultilabelClassifierBaseTInput.)  
Decide(TInput, Int32) 
Computes classlabel decisions for the given input.
(Inherited from MultilabelClassifierBaseTInput.)  
Decide(TInput, Double) 
Computes a classlabel decision for a given input.
(Inherited from MultilabelClassifierBaseTInput.)  
Decide(TInput, Int32) 
Computes a classlabel decision for a given input.
(Inherited from MultilabelClassifierBaseTInput.)  
Decide(TInput, Double) 
Computes a classlabel decision for a given input.
 
Decide(TInput, Int32) 
Computes a classlabel decision for a given input.
 
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.)  
GetHashCode  Serves as the default hash function. (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.)  
Score(TInput, Int32) 
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
 
Score(TInput, Int32) 
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
 
Score(TInput, Int32) 
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
 
Score(TInput, Int32, Boolean) 
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
 
Score(TInput, Int32, Double) 
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
 
Score(TInput, Int32, Double) 
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
 
Scores(TInput) 
Computes a numerical score measuring the association between
the given input vector and each class.
 
Scores(TInput) 
Computes a numerical score measuring the association between
the given input vector and each class.
 
Scores(TInput, Boolean) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double) 
Computes a numerical score measuring the association between
the given input vector and each class.
 
Scores(TInput, Double) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Boolean) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double) 
Computes a numerical score measuring the association between
the given input vector and each class.
 
Scores(TInput, Double) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Boolean, Double) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double, Double) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double, Double) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32, Double) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32, Double) 
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Boolean, Double) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double, Double) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Double, Double) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32, Double) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
Scores(TInput, Int32, Double) 
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
 
ToMulticlass 
Views this instance as a multiclass generative classifier.
 
ToMulticlassT 
Views this instance as a multiclass generative classifier.
 
ToString  Returns a string that represents the current object. (Inherited from Object.)  
Transform(TInput) 
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.)  
Transform(TInput) 
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.)  
Transform(TInput, Boolean) 
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.)  
Transform(TInput, Int32) 
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.)  
Transform(TInput, Boolean) 
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.)  
Transform(TInput, Int32) 
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.)  
Transform(TInput, Double) 
Applies the transformation to an input, producing an associated output.
(Overrides MultilabelClassifierBaseTInputTransform(TInput, Double).)  
Transform(TInput, Double) 
Applies the transformation to an input, producing an associated output.
 
Transform(TInput, Double) 
Applies the transformation to an input, producing an associated output.
(Overrides MultilabelClassifierBaseTInputTransform(TInput, Double).)  
Transform(TInput, Int32) 
Applies the transformation to an input, producing an associated output.

Name  Description  

HasMethod 
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)  
IsEqual 
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.)  
To(Type)  Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)  
ToT  Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) 