## Uses of Class
org.apache.ignite.ml.regressions.linear.LinearRegressionModel

- Packages that use LinearRegressionModel
  Package | Description
  --- | ---
  org.apache.ignite.ml.regressions.linear | Contains various linear regressions.

- - ### Uses of LinearRegressionModel in org.apache.ignite.ml.regressions.linear

    Methods in org.apache.ignite.ml.regressions.linear that return LinearRegressionModel
    Modifier and Type | Method and Description
    --- | ---
    `LinearRegressionModel` | LinearRegressionModel.LinearRegressionModelJSONExportModel.`convert()` Convert JSON string to IgniteModel object.
    `<K,V> LinearRegressionModel` | LinearRegressionLSQRTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Trains model based on the specified data.
    `<K,V> LinearRegressionModel` | LinearRegressionSGDTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Trains model based on the specified data.
    `static LinearRegressionModel` | LinearRegressionModel.`fromJSON(Path path)` Loads LinearRegressionModel from JSON file.
    `protected <K,V> LinearRegressionModel` | LinearRegressionLSQRTrainer.`updateModel(LinearRegressionModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.
    `protected <K,V> LinearRegressionModel` | LinearRegressionSGDTrainer.`updateModel(LinearRegressionModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.
    `LinearRegressionModel` | LinearRegressionModel.`withIntercept(double intercept)` Set up the intercept.
    `LinearRegressionModel` | LinearRegressionModel.`withWeights(Vector weights)` Set up the weights.

    Methods in org.apache.ignite.ml.regressions.linear with parameters of type LinearRegressionModel
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | LinearRegressionLSQRTrainer.`isUpdateable(LinearRegressionModel mdl)`
    `boolean` | LinearRegressionSGDTrainer.`isUpdateable(LinearRegressionModel mdl)`
    `protected <K,V> LinearRegressionModel` | LinearRegressionLSQRTrainer.`updateModel(LinearRegressionModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.
    `protected <K,V> LinearRegressionModel` | LinearRegressionSGDTrainer.`updateModel(LinearRegressionModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.

    Method parameters in org.apache.ignite.ml.regressions.linear with type arguments of type LinearRegressionModel
    Modifier and Type | Method and Description
    --- | ---
    `<P> void` | LinearRegressionModel.`saveModel(Exporter<LinearRegressionModel,P> exporter, P path)` Save model by the given path.

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Ignite Database and Caching Platform | : ver. 2.13.0
Release Date | : April 20 2022