## Uses of Class
org.wso2.extension.siddhi.execution.streamingml.bayesian.util.SoftmaxRegression

- Packages that use SoftmaxRegression
  Package | Description
  --- | ---
  org.wso2.extension.siddhi.execution.streamingml.bayesian.classification.util |
  org.wso2.extension.siddhi.execution.streamingml.bayesian.util |

- - ### Uses of SoftmaxRegression in org.wso2.extension.siddhi.execution.streamingml.bayesian.classification.util

    Methods in org.wso2.extension.siddhi.execution.streamingml.bayesian.classification.util that return SoftmaxRegression
    Modifier and Type | Method and Description
    --- | ---
    `SoftmaxRegression` | SoftmaxRegressionModelHolder.`getClonedSoftmaxRegressionModel(String modelName)`
    `SoftmaxRegression` | SoftmaxRegressionModelHolder.`getSoftmaxRegressionModel(String name)`

    Methods in org.wso2.extension.siddhi.execution.streamingml.bayesian.classification.util that return types with arguments of type SoftmaxRegression
    Modifier and Type | Method and Description
    --- | ---
    `Map<String,SoftmaxRegression>` | SoftmaxRegressionModelHolder.`getSoftmaxRegressionMap()`

    Methods in org.wso2.extension.siddhi.execution.streamingml.bayesian.classification.util with parameters of type SoftmaxRegression
    Modifier and Type | Method and Description
    --- | ---
    `void` | SoftmaxRegressionModelHolder.`addSoftmaxRegressionModel(String name, SoftmaxRegression model)`

    Method parameters in org.wso2.extension.siddhi.execution.streamingml.bayesian.classification.util with type arguments of type SoftmaxRegression
    Modifier and Type | Method and Description
    --- | ---
    `void` | SoftmaxRegressionModelHolder.`setSoftmaxRegressionMap(Map<String,SoftmaxRegression> modelsMap)`

  - ### Uses of SoftmaxRegression in org.wso2.extension.siddhi.execution.streamingml.bayesian.util

    Constructors in org.wso2.extension.siddhi.execution.streamingml.bayesian.util with parameters of type SoftmaxRegression
    Constructor and Description
    `SoftmaxRegression(SoftmaxRegression model)`

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