Timothy Hunter created SPARK-16485:
--------------------------------------
Summary: Additional fixes to Mllib 2.0 documentation
Key: SPARK-16485
URL: https://issues.apache.org/jira/browse/SPARK-16485
Project: Spark
Issue Type: Sub-task
Reporter: Timothy Hunter
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
2. missing `def evaluate(dataset: Dataset[_]): Double` from the doc (the
other method with the same name shows up). This may be a bug in scaladoc.
- 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/
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
