[jira] [Commented] (SPARK-17950) Match SparseVector behavior with DenseVector
[ https://issues.apache.org/jira/browse/SPARK-17950?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15583877#comment-15583877 ] AbderRahman Sobh commented on SPARK-17950: -- Yes, the full array needs to be expanded since the numpy functions potentially need to operate on every value in the array. There is room for another implementation that instead simply mimics the numpy functions (and their handles) and provides smarter implementations for solving means and such when using a SparseVector. If that is preferable, I can modify the code to do that instead. I also just realized that I am not 100% sure if the garbage collection works as I am expecting. My assumption was that Python would automatically clean up after using the array, but since it is technically inside of the object it might need another line to explicitly clear the array out? > Match SparseVector behavior with DenseVector > > > Key: SPARK-17950 > URL: https://issues.apache.org/jira/browse/SPARK-17950 > Project: Spark > Issue Type: Improvement > Components: MLlib, PySpark >Affects Versions: 2.0.1 >Reporter: AbderRahman Sobh >Priority: Minor > Original Estimate: 0h > Remaining Estimate: 0h > > Simply added the `__getattr__` to SparseVector that DenseVector has, but > calls self.toArray() instead of storing a vector all the time in self.array > This allows for use of numpy functions on the values of a SparseVector in the > same direct way that users interact with DenseVectors. > i.e. you can simply call SparseVector.mean() to average the values in the > entire vector. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-17950) Match SparseVector behavior with DenseVector
[ https://issues.apache.org/jira/browse/SPARK-17950?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15577596#comment-15577596 ] Sean Owen commented on SPARK-17950: --- Doesn't that make a potentially huge array every time this is called? > Match SparseVector behavior with DenseVector > > > Key: SPARK-17950 > URL: https://issues.apache.org/jira/browse/SPARK-17950 > Project: Spark > Issue Type: Improvement > Components: MLlib, PySpark >Affects Versions: 2.0.1 >Reporter: AbderRahman Sobh >Priority: Minor > Original Estimate: 0h > Remaining Estimate: 0h > > Simply added the `__getattr__` to SparseVector that DenseVector has, but > calls self.toArray() instead of storing a vector all the time in self.array > This allows for use of numpy functions on the values of a SparseVector in the > same direct way that users interact with DenseVectors. > i.e. you can simply call SparseVector.mean() to average the values in the > entire vector. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-17950) Match SparseVector behavior with DenseVector
[ https://issues.apache.org/jira/browse/SPARK-17950?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15576991#comment-15576991 ] Apache Spark commented on SPARK-17950: -- User 'itg-abby' has created a pull request for this issue: https://github.com/apache/spark/pull/15496 > Match SparseVector behavior with DenseVector > > > Key: SPARK-17950 > URL: https://issues.apache.org/jira/browse/SPARK-17950 > Project: Spark > Issue Type: Improvement > Components: MLlib, PySpark >Affects Versions: 2.0.1 >Reporter: AbderRahman Sobh >Priority: Minor > Original Estimate: 0h > Remaining Estimate: 0h > > Simply added the `__getattr__` to SparseVector that DenseVector has, but > calls self.toArray() instead of storing a vector all the time in self.array > This allows for use of numpy functions on the values of a SparseVector in the > same direct way that users interact with DenseVectors. > i.e. you can simply call SparseVector.mean() to average the values in the > entire vector. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
