ray

What happened + What you expected to happen

The shim tune.create_scheduler() does not properly parse the keyword parameters passed in a dictionary for the pb2 scheduler. For this call

pb2_parm_dict = {"time_attr": "time_total_s", "metric": "metric_score", "mode": "min",
                 "hyperparam_bounds": {"param1": [0, 1]}}

pb2_scheduler = create_scheduler("pb2", **pb2_pa

Is your feature request related to a problem? Please describe.
Implements classification_report for classification metrics.(https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html)

Overview

As a CFP user, I would like to split a dataset (e.g., np array, pandas dataframe) into smaller objects that can then be fed into other nodes/pipeline. This is especially useful when we have compute intensive tasks and would like to parallelize it eas

Search before asking

• I had searched in the issues and found no similar feature requirement.

Description

As a user, I hope to create other templates like discussion which doesn't belong to bug or feature section. I just