Interface | Description |
---|---|
LogisticRegressionModelParams<T> |
Params for LogisticRegressionModel and LogisticRegressionModelServable.
|
LogisticRegressionParams<T> |
Params for
LogisticRegression . |
OnlineLogisticRegressionModelParams<T> |
Params for
OnlineLogisticRegressionModel . |
OnlineLogisticRegressionParams<T> |
Params of
OnlineLogisticRegression . |
Class | Description |
---|---|
LogisticRegression |
An Estimator which implements the logistic regression algorithm.
|
LogisticRegressionModel |
A Model which classifies data using the model data computed by
LogisticRegression . |
LogisticRegressionModelData |
Model data of
LogisticRegressionModelServable . |
LogisticRegressionModelDataUtil |
The utility class which provides methods to convert model data from Table to Datastream, and
classes to save/load model data.
|
LogisticRegressionModelDataUtil.ModelDataDecoder |
Data decoder for
LogisticRegression and OnlineLogisticRegression . |
LogisticRegressionModelDataUtil.ModelDataEncoder |
Data encoder for
LogisticRegression and OnlineLogisticRegression . |
LogisticRegressionModelServable |
A Servable which can be used to classifies data in online inference.
|
OnlineLogisticRegression |
An Estimator which implements the online logistic regression algorithm.
|
OnlineLogisticRegressionModel |
A Model which classifies data using the model data computed by
OnlineLogisticRegression . |
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