Represents the (possibly incomplete) training input to a statistical
or machine learning model.
SystemObject Extreme.DataAnalysis.ModelsModelInput
Namespace:
Extreme.DataAnalysis.Models
Assembly:
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
public ref class ModelInput
type ModelInput = class end
The ModelInput type exposes the following members.
| Name | Description |
---|
 | DependentVariables | Obsolete.
Gets the input group that contains the dependent variable(s).
|
 | Features |
Gets the input group that contains the features.
|
 | Grouping |
Gets the input group that contains the grouping variable(s).
|
 | IndependentVariables | Obsolete.
Gets the input group that contains the dependent variable(s).
|
 | ItemSlice |
Returns a new model input containing only the specified rows.
|
 | ItemVectorBoolean |
Returns a new model input containing only the specified rows.
|
 | ItemVectorInt32 |
Returns a new model input containing only the specified rows.
|
 | Offsets |
Gets the input group that contains the offset variable(s).
|
 | Targets |
Gets the input group that contains the features.
|
 | Weights |
Gets the input group that contains the weights.
|
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Use the ModelInput class to collect
all information that serves as training input to a model
in one place.
The information in a ModelInput may be incomplete.
It may even be completely empty.
When the model is fitted, any information in the ModelInput
is combined with the supplied data to produce the
prepared fitting data (design matrix).
Reference