pipeline issue (Kedro?)

[Peccer]

Running:

print('\n[Estimate the effect of recommendation based on the uplift model]')
estimated_effect_df = cl.estimate_recommendation_impact()

gives below error. ran the notebook example from the github project.

╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /tmp/ipykernel_121/2062088210.py:2 in │
│ │
│ [Errno 2] No such file or directory: '/tmp/ipykernel_121/2062088210.py' │
│ │
│ /root/venv/lib/python3.9/site-packages/causallift/causal_lift.py:721 in │
│ estimate_recommendation_impact │
│ │
│ 718 │ │ │
│ 719 │ │ if self.runner: │
│ 720 │ │ │ # self.kedro_context.catalog.save('args', self.args) │
│ ❱ 721 │ │ │ self.kedro_context.run(tags=["511_recommend_by_cate"]) │
│ 722 │ │ │ self.df = self.kedro_context.catalog.load("df_03") │
│ 723 │ │ │ │
│ 724 │ │ │ self.kedro_context.run(tags=["521_simulate_recommendation"]) │
│ │
│ /root/venv/lib/python3.9/site-packages/causallift/context/flexible_context.py:178 in run │
│ │
│ 175 │ │ │ + "only_missing: {}".format(only_missing) │
│ 176 │ │ │ + ")" │
│ 177 │ │ ) │
│ ❱ 178 │ │ return super().run( │
│ 179 │ │ │ tags=tags, runner=runner, node_names=node_names, only_missing=only_missing │
│ 180 │ │ ) │
│ 181 │
│ │
│ /root/venv/lib/python3.9/site-packages/causallift/context/flexible_context.py:141 in run │
│ │
│ 138 │ │ self, **kwargs # type: Any │
│ 139 │ ): │
│ 140 │ │ # type: (...) -> Dict[str, Any] │
│ ❱ 141 │ │ d = super().run(**kwargs) │
│ 142 │ │ self.catalog.add_feed_dict(d, replace=True) │
│ 143 │ │ return d │
│ 144 │
│ │
│ /root/venv/lib/python3.9/site-packages/causallift/context/flexible_context.py:131 in run │
│ │
│ 128 │ │ │ runner = ( │
│ 129 │ │ │ │ ParallelRunner() if runner == "ParallelRunner" else SequentialRunner() │
│ 130 │ │ │ ) │
│ ❱ 131 │ │ return super().run(runner=runner, **kwargs) │
│ 132 │
│ 133 │
│ 134 class ProjectContext2(ProjectContext1): │
│ │
│ /root/venv/lib/python3.9/site-packages/causallift/context/flexible_context.py:106 in run │
│ │
│ 103 │ │ runner = runner or SequentialRunner() │
│ 104 │ │ if only_missing and _skippable(self.catalog): │
│ 105 │ │ │ return runner.run_only_missing(pipeline, self.catalog) │
│ ❱ 106 │ │ return runner.run(pipeline, self.catalog) │
│ 107 │
│ 108 │
│ 109 def _skippable( │
│ │
│ /root/venv/lib/python3.9/site-packages/kedro/runner/runner.py:75 in run │
│ │
│ 72 │ │ │
│ 73 │ │ unsatisfied = pipeline.inputs() - set(catalog.list()) │
│ 74 │ │ if unsatisfied: │
│ ❱ 75 │ │ │ raise ValueError( │
│ 76 │ │ │ │ f"Pipeline input(s) {unsatisfied} not found in the DataCatalog" │
│ 77 │ │ │ ) │
│ 78 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
ValueError: Pipeline input(s) {'df_02'} not found in the DataCatalog

[Minyus]

Hi @Peccer ,

Thank you for reporting the issue.

As you pointed out, PipelineX does not support kedro 0.18.x yet.
Could you install kedro 0.17.x ?

pip install kedro==0.17.7

Besides, CausalLift may not work with scikit-learn 0.22 or later.
The latest supported version of scikit-learn is 0.21.3.

pip install scikit-learn==0.21.3

Pull requests for fix are welcomed.