Support predict_contributions for models loaded form MOJO

[exalate-issue-sync]

{noformat}>>> cars_drf_from_mojo = h2o.import_mojo(cars_drf_mojo)

cars_drf_from_mojo.predict_contributions(valid)
...
OSError: Job with key $03017f00000132d4ffffffff$_9a567cb2f70de208506216676b094fc2 failed with an exception: water.exceptions.H2OIllegalArgumentException: Model type Generic doesn't support calculating Feature Contributions.
stacktrace:
water.exceptions.H2OIllegalArgumentException: Model type Generic doesn't support calculating Feature Contributions.
at water.api.ModelMetricsHandler$1.compute2(ModelMetricsHandler.java:398)
at water.H2O$H2OCountedCompleter.compute(H2O.java:1575)
at jsr166y.CountedCompleter.exec(CountedCompleter.java:468)
at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477)
at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104){noformat}

[exalate-issue-sync]

Michal Kurka commented: This will be implemented only for the default predict_contributions - the new parameters {{output_format="Original", top_n=None, bottom_n=None, compare_abs=False}} will not be supported in the first version.

These parameters don’t seem to be supported directly in MOJO - we might need to expose them first [~accountid:5f8e6929461cc40075215ee0]

[h2o-ops]

JIRA Issue Details

Jira Issue: PUBDEV-8172
Assignee: Michal Kurka
Reporter: Joseph Granados
State: Resolved
Fix Version: 3.34.0.1
Attachments: N/A
Development PRs: Available

[h2o-ops]

Linked PRs from JIRA

#5543
#5556
#5566