noklam
03/29/2022, 8:15 PMBruno
03/29/2022, 8:21 PMnode(
func=dataframe_melting,
inputs=dict(df="mapped_df", id_vars=["altitude"], var_name="disease"),
noklam
03/29/2022, 8:27 PMBruno
03/29/2022, 8:28 PMid_vars=["altitude_x", "altitude_y"]
noklam
03/29/2022, 8:29 PMBruno
03/29/2022, 8:30 PMnode(
func=dataframe_melting,
inputs=dict(df="mapped_df", id_vars="altitude", var_name="disease"),
and than my pipeline stopped working:
Failed to find the pipeline named 'data_engieering_pipeline'. It needs to be generated and returned by the 'register_pipelines' function.
noklam
03/29/2022, 8:42 PMkedro registry list
and see what's the output? It is suggesting you don't have the pipeline defined.Bruno
03/29/2022, 8:43 PM- __default__
- data_engineering
- gs_sample
- s3_sample
noklam
03/29/2022, 8:45 PMBruno
03/29/2022, 8:51 PMf"Pipeline input(s) {unsatisfied} not found in the DataCatalog"
ValueError: Pipeline input(s) {'altitude', 'disease'} not found in the DataCatalog
all inputs must be inside the catalog? even a list?noklam
03/29/2022, 8:54 PMBruno
03/29/2022, 8:58 PMnoklam
03/29/2022, 8:59 PMBruno
03/29/2022, 9:00 PMnoklam
03/29/2022, 9:00 PMparameters.yml
is what you are looking for.Bruno
03/29/2022, 9:01 PMnoklam
03/29/2022, 9:06 PM