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WeakTModel Class |
Note: This API is now obsolete.
Adapter for models that do not implement a .Decide function.
Inheritance HierarchySystemObject
Accord.MachineLearningTransformBaseDouble, Boolean
Accord.MachineLearningClassifierBaseDouble, Boolean
Accord.MachineLearningBinaryClassifierBaseDouble
Accord.MachineLearning.Boosting.LearnersWeakTModel
Accord.MachineLearningTransformBaseDouble, Boolean
Accord.MachineLearningClassifierBaseDouble, Boolean
Accord.MachineLearningBinaryClassifierBaseDouble
Accord.MachineLearning.Boosting.LearnersWeakTModel
Namespace: Accord.MachineLearning.Boosting.Learners
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax[ObsoleteAttribute("This class will be removed.")] public class Weak<TModel> : BinaryClassifierBase<double[]>
Type Parameters
- TModel
- The type for the weak classifier model.
The WeakTModel type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | WeakTModel |
Creates a new Weak classifier given a
classification model and its decision function.
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Properties| Name | Description | |
|---|---|---|
 | Function |
Gets or sets the decision function used by the Model.
|
| Model |
Gets or sets the weak decision model.
|
| NumberOfClasses |
Gets the number of classes expected and recognized by the classifier.
(Inherited from ClassifierBaseTInput, TClasses.) |
| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) |
Methods| Name | Description | |
|---|---|---|
| Compute | Obsolete.
Computes the classifier decision for a given input.
|
| Decide(TInput) |
Computes class-label decisions for a given set of input vectors.
(Inherited from ClassifierBaseTInput, TClasses.) |
| Decide(Double) |
Computes a class-label decision for a given input.
(Overrides ClassifierBaseTInput, TClassesDecide(TInput).) |
| Decide(TInput, Boolean) |
Computes class-label decisions for the given input.
(Inherited from BinaryClassifierBaseTInput.) |
| Decide(TInput, TClasses) |
Computes a class-label decision for a given input.
(Inherited from ClassifierBaseTInput, TClasses.) |
| 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.) |
| ToMulticlass |
Views this instance as a multi-class classifier,
giving access to more advanced methods, such as the prediction
of integer labels.
(Inherited from BinaryClassifierBaseTInput.) |
| ToMultilabel |
Views this instance as a multi-label classifier,
giving access to more advanced methods, such as the prediction
of one-hot vectors.
(Inherited from BinaryClassifierBaseTInput.) |
| 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 BinaryClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from BinaryClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from BinaryClassifierBaseTInput.) |
| Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from BinaryClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from BinaryClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from BinaryClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from BinaryClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from BinaryClassifierBaseTInput.) |
| Transform(TInput, TClasses) |
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.) |
Extension Methods| 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.) |
See Also