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  • ICategoricalVector Interface
    • Properties
    • Methods

ICategoricalVector Interface

Extreme Optimization Numerical Libraries for .NET Professional
Represents the common methods and properties for indexed collections that contain categorical data.

Namespace:  Extreme.Mathematics
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
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public interface ICategoricalVector : IVector, 
	IGrouping
Public Interface ICategoricalVector
	Inherits IVector, IGrouping
public interface class ICategoricalVector : IVector, 
	IGrouping
type ICategoricalVector =  
    interface
        interface IVector
        interface IGrouping
    end

The ICategoricalVector type exposes the following members.

Properties

  NameDescription
Public propertyCategoryIndex
Gets the index containing the categories.
Public propertyCount
Gets the number of groups.
(Inherited from IGrouping.)
Public propertyElementType
Gets the element type of the vector.
(Inherited from IVector.)
Public propertyEncoding
Gets or sets the encoding used when creating indicator variables.
Public propertyFormatString
Gets a format string used when formatting elements of the vector.
(Inherited from IVector.)
Public propertyIndex
Gets the index of the object.
(Inherited from IVector.)
Public propertyLength
Gets the length of the vector.
(Inherited from IVector.)
Public propertyLevelIndexes
Gets a vector that contains the level indexes of the elements.
Public propertyName
Gets the name of the object.
(Inherited from IVector.)
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Methods

  NameDescription
Public methodAggregateIntoT, U(VectorT, AggregatorT, U, VectorU)
Aggregates the specified vector over each group and returns the result.
(Inherited from IGrouping.)
Public methodAggregateIntoT, U(VectorT, VectorT, Aggregator2T, U, VectorU)
Aggregates the specified vector over each group and returns the result.
(Inherited from IGrouping.)
Public methodAppend
Appends a vector at the end of this vector and returns the result.
(Inherited from IVector.)
Public methodAppendMissingValues
Appends the specified number of missing values to this vector and returns the result.
(Inherited from IVector.)
Public methodAsU
Returns the object as a strongly typed vector of the specified type.
(Inherited from IVector.)
Public methodAsCategorical
Converts the vector to a categorical vector.
(Inherited from IVector.)
Public methodGetCounts
Returns a histogram of the number of observations in each group.
(Inherited from IGrouping.)
Public methodGetIndexes
Gets a sequence of indexes for the grouping.
(Inherited from IGrouping.)
Public methodGetSlice
Returns a new object that contains the values at the specified positions.
(Inherited from IVector.)
Public methodGetValue
Gets the value at the specified index.
(Inherited from IVector.)
Public methodGetValues(IEnumerableInt32)
Returns a new object that contains the values at the specified positions.
(Inherited from IVector.)
Public methodGetValues(Int32)
Returns a new object that contains the values at the specified positions.
(Inherited from IVector.)
Public methodIsMissing
Indicates whether the value at the specified index is missing.
(Inherited from IVector.)
Public methodProtect
Returns a shallow read-only copy of the vector.
(Inherited from IVector.)
Public methodReplaceMissingValues
Replaces all missing values in a vector with the previous or next non-missing value.
(Inherited from IVector.)
Public methodSort
Returns a permutation that can be used to sort the data in the vector in the specified order.
(Inherited from IVector.)
Public methodWithCategoriesT
Constructs a new categorical vector using the specified category index.
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Extension Methods

  NameDescription
Public Extension MethodBinT(IntervalIndexT)Overloaded.
Sorts values into bins and returns the result as a categorical vector.
(Defined by Vector.)
Public Extension MethodBinT(IListT, SpecialBins)Overloaded.
Sorts values into bins and returns the result as a categorical vector.
(Defined by Vector.)
Public Extension MethodCreateHistogram
Returns a histogram of the counts for each value in a vector.
(Defined by Histogram.)
Public Extension MethodUnstackR, C
Transforms a vector with a two-level index into a data frame whose columns correspond to the second level in the index.
(Defined by DataFrame.)
Public Extension MethodUseBackwardDifferenceEncoding
Specifies that backward difference encoding should be used when creating indicator variables.
(Defined by VectorExtensions.)
Public Extension MethodUseDeviationEncoding
Specifies that deviance encoding should be used when creating indicator variables.
(Defined by VectorExtensions.)
Public Extension MethodUseDummyEncoding
Specifies that dummy encoding (also called treatment encoding) should be used when creating indicator variables.
(Defined by VectorExtensions.)
Public Extension MethodUseForwardDifferenceEncoding
Specifies that forward difference encoding should be used when creating indicator variables.
(Defined by VectorExtensions.)
Public Extension MethodUseHelmertEncoding
Specifies that Helmert encoding should be used when creating indicator variables.
(Defined by VectorExtensions.)
Public Extension MethodUseInverseHelmertEncoding
Specifies that inverse Helmert encoding should be used when creating indicator variables.
(Defined by VectorExtensions.)
Public Extension MethodUsePolynomialEncoding
Specifies that orthogonal polynomial encoding should be used when creating indicator variables.
(Defined by VectorExtensions.)
Public Extension MethodUseSimpleEncoding
Specifies that simple encoding should be used when creating indicator variables.
(Defined by VectorExtensions.)
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See Also

Reference

Extreme.Mathematics Namespace

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