- Jul 31, 2013
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Karen Feng authored
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Karen Feng authored
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- Jul 30, 2013
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Patrick Wendell authored
Use Bootstrap progress bars in web UI
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shivaram authored
Minor mllib cleanup
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Reynold Xin authored
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Reynold Xin authored
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Reynold Xin authored
Renamed Classification.scala to ClassificationModel.scala and Regression.scala to RegressionModel.scala
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Karen Feng authored
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Karen Feng authored
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Karen Feng authored
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shivaram authored
made SimpleUpdater consistent with other updaters
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Ameet Talwalkar authored
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Josh Rosen authored
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Josh Rosen authored
This fixes SPARK-832, an issue where PySpark would not work when the master and workers used different SPARK_HOME paths. This change may potentially break code that relied on the master's PYTHONPATH being used on workers. To have custom PYTHONPATH additions used on the workers, users should set a custom PYTHONPATH in spark-env.sh rather than setting it in the shell.
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- Jul 29, 2013
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Matei Zaharia authored
Internal cleanup
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atalwalkar authored
Remove duplicate loss history in Gradient Descent
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Shivaram Venkataraman authored
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Reynold Xin authored
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Reynold Xin authored
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Reynold Xin authored
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Matei Zaharia authored
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Reynold Xin authored
Also renamed MasterState to MasterStateResponse and WorkerState to WorkerStateResponse for clarity.
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Karen Feng authored
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https://github.com/mesos/sparkKaren Feng authored
Conflicts: core/src/main/scala/spark/ui/jobs/IndexPage.scala
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Patrick Wendell authored
Totals for shuffle data and CPU time
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Shivaram Venkataraman authored
Also some minor style fixes.
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Karen Feng authored
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Karen Feng authored
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https://github.com/mesos/sparkKaren Feng authored
cially if it merges an updated upstream into a topic branch.
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Reynold Xin authored
Fix two small usability issues
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Karen Feng authored
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shivaram authored
Adding SVM and Lasso
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Xinghao authored
Lines shortened to < 100 characters
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Xinghao authored
Classifiers return categorical (Int) values that should be compared directly
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Xinghao authored
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Xinghao authored
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Matei Zaharia authored
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Matei Zaharia authored
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Matei Zaharia authored
One unfortunate consequence of this fix is that we materialize any collections that are given to us as generators, but this seems necessary to get reasonable behavior on small collections. We could add a batchSize parameter later to bypass auto-computation of batch size if this becomes a problem (e.g. if users really want to parallelize big generators nicely)
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Matei Zaharia authored
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