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Normalization Class |
Namespace: Accord.Statistics.Filters
[SerializableAttribute] public class Normalization : BaseFilter<NormalizationOptions, Normalization>, IAutoConfigurableFilter, IFilter
The Normalization type exposes the following members.
Name | Description | |
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![]() | Normalization |
Creates a new data normalization filter.
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![]() | Normalization(DataTable) |
Creates a new data normalization filter.
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![]() | Normalization(String) |
Creates a new data normalization filter.
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Name | Description | |
---|---|---|
![]() | 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(Double) |
Applies the Filter to a DataTable.
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![]() | Apply(DataTable, String) |
Applies the Filter to a DataTable.
(Inherited from BaseFilterTOptions, TFilter.) |
![]() | ApplyInPlace |
Applies the Filter to a DataTable.
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![]() | Detect(DataTable) |
Auto detects the filter options by analyzing a given DataTable.
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![]() | Detect(Double) |
Auto detects the filter options by analyzing a given matrix.
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![]() | 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 a data table relating the age of a person and its categorical classification, as in "child", "adult" or "elder". The normalization filter can be used to transform the "Age" column into Z-scores, as shown below:
// Create the aforementioned sample table DataTable table = new DataTable("Sample data"); table.Columns.Add("Age", typeof(double)); table.Columns.Add("Label", typeof(string)); // age label table.Rows.Add(10, "child"); table.Rows.Add(07, "child"); table.Rows.Add(04, "child"); table.Rows.Add(21, "adult"); table.Rows.Add(27, "adult"); table.Rows.Add(12, "child"); table.Rows.Add(79, "elder"); table.Rows.Add(40, "adult"); table.Rows.Add(30, "adult"); // The filter will ignore non-real (continuous) data Normalization normalization = new Normalization(table); double mean = normalization["Age"].Mean; // 25.55 double sdev = normalization["Age"].StandardDeviation; // 23.29 // Now we can process another table at once: DataTable result = normalization.Apply(table); // The result will be a table with the same columns, but // in which any column named "Age" will have been normalized // using the previously detected mean and standard deviation: DataGridBox.Show(result);
The resulting data is shown below: