The Extreme.DataAnalysis namespace contains classes used when working with statistical and machine learning models.
| Class | Description |
---|
 | ClassificationModelT |
Represents a statistical model used for classification.
|
 | ClusteringModelT |
Serves as the base class for classes that build clustering models.
|
 | Model |
Represents a statistical model.
|
 | ModelExtensions |
Contains extension methods for statistical and machine learning models.
|
 | ModelFitOptions |
Represents the options available when fitting a statistical
or machine learning model.
|
 | ModelInput |
Represents the (possibly incomplete) training input to a statistical
or machine learning model.
|
 | ModelInputGroup |
Represents a group of variables with a specific purpose
in a statistical or machine learning model.
|
 | ModelTerm |
Represents a term in a model specification.
|
 | ModelTermCollection |
Represents a collection of terms in a model specification.
|
 | RegressionModelT |
Represents a statistical model.
|
 | TransformationModelT |
Serves a the base class for classes that represent transformation-like models.
|
| Interface | Description |
---|
 | ITransformationModel |
Specifies common methods and properties for models
that implement transformations such as feature selection
or dimensionality reduction.
|
| Enumeration | Description |
---|
 | ModelInputCategory |
Enumerates the categories or roles of variables
in a statistical or machine learning model.
|
 | ModelInputFormat |
Enumerates the format of the input to a model when making predictions.
|
 | ModelSerialization |
Gets or sets the way a statistical model is serialized or deserialized.
|
 | ModelStatus |
Enumerates the possible states of a statistical or machine learning model.
|
 | ModelTermKind |
Enumerates the possible kinds of model terms.
|