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. >>> >> >>
