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LogisticRegressionAnalysis Methods |
The LogisticRegressionAnalysis type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Compute | Obsolete.
Computes the Logistic Regression Analysis.
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| Compute(LogisticRegression) | Obsolete.
Computes the Logistic Regression Analysis for an already computed regression.
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| Compute(Double, Int32) | Obsolete.
Computes the Logistic Regression Analysis.
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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.) |
 | FromSummary | Obsolete.
Creates a new LogisticRegressionAnalysis from summarized data.
In summary data, instead of having a set of inputs and their associated outputs,
we have the number of times an input vector had a positive label in the data set
and how many times it had a negative label.
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| GetConfidenceInterval |
Gets the confidence interval for a given input.
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| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetLikelihoodRatio | Obsolete.
Gets the Log-Likelihood Ratio between this model and another model.
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| GetPredictionInterval |
Gets the prediction interval for a given input.
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| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| Learn(Double, Double, Double) |
Learns a model that can map the given inputs to the given outputs.
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| Learn(Double, Int32, Double) |
Learns a model that can map the given inputs to the given outputs.
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| Learn(Double, Int32, Int32) |
Learns a model that can map the given inputs to the given outputs.
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| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.) |
| Transform(Double) |
Applies the transformation to an input, producing an associated output.
(Overrides TransformBaseTInput, TOutputTransform(TInput).) |
| Transform(TInput, TOutput) |
Applies the transformation to an input, producing an associated output.
(Inherited from TransformBaseTInput, TOutput.) |
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