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Branching Class |
Namespace: Accord.Statistics.Filters
The Branching type exposes the following members.
Name | Description | |
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![]() | Branching |
Initializes a new instance of the Branching class.
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![]() | Branching(String) |
Initializes a new instance of the Branching class.
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![]() | Branching(BranchingOptions) |
Initializes a new instance of the Branching class.
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Name | Description | |
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![]() | Active |
Gets or sets whether this filter is active. An inactive
filter will repass the input table as output unchanged.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | Columns |
Gets the collection of filter options.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | ItemInt32 |
Gets options associated with a given variable (data column).
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | ItemString |
Gets options associated with a given variable (data column).
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
(Inherited from BaseFilterTOptions, TFilter.) |
Name | Description | |
---|---|---|
![]() | Add |
Add a new column options definition to the collection.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | Apply(DataTable) |
Applies the Filter to a DataTable.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | Apply(DataTable, String) |
Applies the Filter to a DataTable.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | 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.) |
![]() | GetEnumerator |
Returns an enumerator that iterates through the collection.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | 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.) |
![]() | OnAddingOptions |
Called when a new column options definition is being added.
Can be used to validate or modify these options beforehand.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | ProcessFilter |
Processes the current filter.
(Overrides BaseFilterTOptions, TFilterProcessFilter(DataTable).) |
![]() | ToString | Returns a string that represents the current object. (Inherited from Object.) |
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.) |
Suppose we have the following data table. In this table, each row represents a person, an indicator variable tell us whether this person is a smoker, and the last column indicates the age of each person. Let's say we would like to convert the age of smokers to a scale from -1 to 0, and the age of non-smokers to a scale from 0 to 1.
object[,] data = { { "Id", "IsSmoker", "Age" }, { 0, 1, 10 }, { 1, 1, 15 }, { 2, 0, 40 }, { 3, 1, 20 }, { 4, 0, 70 }, { 5, 0, 55 }, }; // Create a DataTable from data DataTable input = data.ToTable(); // We will create two filters, one to operate on the smoking // branch of the data, and other in the non-smoking subjects. // var smoker = new LinearScaling(); var common = new LinearScaling(); // for the smokers, we will convert the age to [-1; 0] smoker.Columns.Add(new LinearScaling.Options("Age") { SourceRange = new DoubleRange(10, 20), OutputRange = new DoubleRange(-1, 0) }); // for non-smokers, we will convert the age to [0; +1] common.Columns.Add(new LinearScaling.Options("Age") { SourceRange = new DoubleRange(40, 70), OutputRange = new DoubleRange(0, 1) }); // We now configure and create the branch filter var settings = new Branching.Options("IsSmoker"); settings.Filters.Add(1, smoker); settings.Filters.Add(0, common); Branching branching = new Branching(settings); // Finally, we can process the input data: DataTable actual = branching.Apply(input); // As result, the generated table will // then contain the following entries: // { "Id", "IsSmoker", "Age" }, // { 0, 1, -1.0 }, // { 1, 1, -0.5 }, // { 2, 0, 0.0 }, // { 3, 1, 0.0 }, // { 4, 0, 1.0 }, // { 5, 0, 0.5 },