Joseph may be already working on it; I would continue the discussion on JIRA and first ask if anyone is working on it before starting your own PR.
On Mon, Jul 13, 2015 at 1:47 PM, Olivier Girardot < o.girar...@lateral-thoughts.com> wrote: > Thanks ! that's great ! > any way to help on that ? > > 2015-07-13 22:39 GMT+02:00 Feynman Liang <fli...@databricks.com>: > >> That is currently tracked by SPARK-3727 >> <https://issues.apache.org/jira/browse/SPARK-3727>. >> >> On Mon, Jul 13, 2015 at 1:16 PM, Olivier Girardot < >> o.girar...@lateral-thoughts.com> wrote: >> >>> thx for the info. >>> >>> I'd be interested in getting the full predict_proba like in scikit learn >>> ( >>> http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier.predict_proba) >>> for the random forest model. >>> There doesn't seem to be a way to get the details, is there any reason >>> for that ? >>> >>> Regards, >>> >>> Olivier. >>> >>> Le lun. 13 juil. 2015 à 21:12, Feynman Liang <fli...@databricks.com> a >>> écrit : >>> >>>> There is MulticlassMetrics in MLlib; unfortunately a pipelined version >>>> hasn't yet been made for spark-ml. SPARK-7690 >>>> <https://issues.apache.org/jira/browse/SPARK-7690> is tracking work on >>>> this if you are interested in following the development. >>>> >>>> On Mon, Jul 13, 2015 at 2:16 AM, Olivier Girardot < >>>> o.girar...@lateral-thoughts.com> wrote: >>>> >>>>> Hi everyone, >>>>> Using spark-ml there seems to be only BinaryClassificationEvaluator >>>>> and RegressionEvaluator, is there any way or plan to provide a ROC-based >>>>> or >>>>> PR-based or F-Measure based for multi-class, I would be interested >>>>> especially in evaluating and doing a grid search for a RandomForest model. >>>>> >>>>> Regards, >>>>> >>>>> Olivier. >>>>> >>>> >>>> >> >
