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Janardhan updated SYSTEMML-983: ------------------------------- Labels: beginner newbie starter (was: ) > Add mllearn and scala wrappers for GLM > -------------------------------------- > > Key: SYSTEMML-983 > URL: https://issues.apache.org/jira/browse/SYSTEMML-983 > Project: SystemML > Issue Type: Task > Components: APIs > Reporter: Niketan Pansare > Priority: Major > Labels: beginner, newbie, starter > > See > https://apache.github.io/incubator-systemml/algorithms-regression.html#generalized-linear-models > for usage > Since this is a starter task, I describe the steps to complete this task: > 1. Implement a scala class (which inherits from BaseSystemMLRegressor) > similar to > https://github.com/apache/incubator-systemml/blob/master/src/main/scala/org/apache/sysml/api/ml/LinearRegression.scala > 2. Modify getTrainingScript and getPredictionScript to specify the parameters > used. See the algorithm documentation for these parameters. > 3. Ensure that you implement appropriate traits to accept hyperparameters > (eg: HasLaplace, HasIcpt, HasRegParam, HasTol, etc). These traits are > available at > https://github.com/apache/incubator-systemml/blob/master/src/main/scala/org/apache/sysml/api/ml/BaseSystemMLClassifier.scala#L36 > 4. Implement a python class (that extends BaseSystemMLRegressor) with > constructor similar to > https://github.com/apache/incubator-systemml/blob/master/src/main/python/systemml/mllearn/estimators.py#L218 > which essentially accepts the hyperparameters and invokes the scala side > methods (example: self.estimator.setLaplace(laplace)) > 5. Update the algorithm documentation by specifying the usage as well as > examples. -- This message was sent by Atlassian JIRA (v7.6.3#76005)