jlafaye opened a new pull request #32255: URL: https://github.com/apache/spark/pull/32255
There are two types of dense vectors: * pyspark.ml.linalg.DenseVector * pyspark.mllib.linalg.DenseVector In spark-3.1.1, array_to_vector returns instances of pyspark.ml.linalg.DenseVector. The documentation is ambiguous & can lead to the false conclusion that instances of pyspark.mllib.linalg.DenseVector will be returned. Conversion from ml versions to mllib versions can easly be achieved with mlutils.convertVectorColumnsToML helper. ### What changes were proposed in this pull request? Make documentation more explicit ### Why are the changes needed? The documentation is a bit misleading and users can lose time investigating & realizing there are two DenseVector types. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? No test were run as only the documentation was changed -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
