Below there is the outline of the section of the user guide relative to the DataOps. I have highlighted in bold the concepts I think should be in the user guide before the release, while the others (mostly more advanced stuff) will be added in alter PRs.
The reason for this issue is to gather feedback on what people think is important and should be in the user guide, and what instead can be de-prioritized for the time being.
Relevant PRs:
DataOps
Reporting
From DataOps to prediction: building and using learners
Arbitrary code in pipelines: deferred, apply_func, and as_expr
Evaluating a learner
Tuning choices in a DataOps plan
Below there is the outline of the section of the user guide relative to the DataOps. I have highlighted in bold the concepts I think should be in the user guide before the release, while the others (mostly more advanced stuff) will be added in alter PRs.
The reason for this issue is to gather feedback on what people think is important and should be in the user guide, and what instead can be de-prioritized for the time being.
Relevant PRs:
DataOps
.skb.if_elseand.skb.match, difference withchoose_from(...).if_elseandchoose_from(...).matchas_data_op: turn any object into in expression – make its methods lazy; give it the capabilities of expressions; a way to give a name to an arbitrary value and replace it at fit or predict timeReporting
From DataOps to prediction: building and using learners
skb.applied_estimatorArbitrary code in pipelines:
deferred,apply_func, andas_exprEvaluating a learner
freeze_after_fitTuning choices in a DataOps plan
choose_fromas last step