Numerics.NET.DataAnalysis.Models Namespace
The Numerics.NET.DataAnalysis namespace contains classes used when working with statistical and machine learning models.
| ClassificationModel<T> |
Represents a statistical model used for classification.
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| Classifier<T> |
Represents a model that predicts a discrete value
based on a set of numerical inputs.
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| ClusteringModel<T> |
Serves as the base class for classes that build clustering models.
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| Model |
Represents a statistical model.
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| ModelExtensions |
Contains extension methods for statistical and machine learning models.
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| ModelFitOptions |
Represents the options available when fitting a statistical
or machine learning model.
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| ModelInput |
Represents the (possibly incomplete) training input to a statistical
or machine learning model.
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| ModelInputGroup |
Represents a group of variables with a specific purpose
in a statistical or machine learning model.
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| ModelTerm |
Represents a term in a model specification.
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| ModelTermCollection |
Represents a collection of terms in a model specification.
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| RegressionModel<T> |
Represents a statistical model.
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| Regressor<T> |
Represents a model that predicts a continuous value
based on a set of numerical inputs.
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| TransformationModel<T> |
Serves a the base class for classes that represent transformation-like models.
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| ITransformationModel |
Specifies common methods and properties for models
that implement transformations such as feature selection
or dimensionality reduction.
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| ModelInputCategory |
Enumerates the categories or roles of variables
in a statistical or machine learning model.
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| ModelInputFormat |
Enumerates the format of the input to a model when making predictions.
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| ModelSerialization |
Gets or sets the way a statistical model is serialized or deserialized.
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| ModelStatus |
Enumerates the possible states of a statistical or machine learning model.
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| ModelTermKind |
Enumerates the possible kinds of model terms.
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