Joseph K. Bradley created SPARK-18328:
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Summary: CLONE - Additional fixes to Mllib 2.0 documentation
Key: SPARK-18328
URL: https://issues.apache.org/jira/browse/SPARK-18328
Project: Spark
Issue Type: Sub-task
Components: Documentation, GraphX, ML, MLlib, SparkR
Reporter: Timothy Hunter
Assignee: Joseph K. Bradley
Fix For: 2.0.0
While reviewing the documentation of MLlib, I found some additional issues.
Important issues that affect the binary signatures:
- GBTClassificationModel: all the setters should be overriden
- LogisticRegressionModel: setThreshold(s)
- RandomForestClassificationModel: all the setters should be overriden
- org.apache.spark.ml.stat.distribution.MultivariateGaussian is exposed but
most of the methods are private[ml] -> do we need to expose this class for now?
- GeneralizedLinearRegressionModel: linkObj, familyObj, familyAndLink should
not be exposed
- sqlDataTypes: name does not follow conventions. Do we need to expose it?
Issues that involve only documentation:
- Evaluator:
1. inconsistent doc between evaluate and isLargerBetter
- MinMaxScaler: math rendering
- GeneralizedLinearRegressionSummary: aic doc is incorrect
The reference documentation that was used was:
http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc2-docs/
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