search

datamllab / tods

TODS: An Automated Time-series Outlier Detection System
http://tods-doc.github.io
Apache License 2.0
1.41k stars 192 forks source link

Not all provided hyper-parameters for the data preparation pipeline #31

Open AlnetharyTamim opened 3 years ago

AlnetharyTamim commented 3 years ago

When I run the default pipeline example of tods, I got the bellow error. Although that I used the correct version of d3m which is 2020.05.18 by checking d3m.__version__. I am using python3.6 and venv as a virtual environment with pip version 19.3.1. 

Not all provided hyper-parameters for the data preparation pipeline 79ce71bd-db96-494b-a455-14f2e2ac5040 were used: ['method', 'number_of_folds', 'randomSeed', 'shuffle', 'stratified']
{'error': "[StepFailedError('Step 6 for pipeline "
          "384bbfab-4f6d-4001-9f90-684ea5681f5d failed.',)]",
 'method_called': 'evaluate',
 'pipeline': '<d3m.metadata.pipeline.Pipeline object at 0x7fdde588c2e8>',
 'status': 'ERRORED'}

Any suggestion please

lhenry15 commented 3 years ago

Try to build a pipeline in examples instead of loading the default pipeline. That one is not compatible to the latest version of d3m, will be fixed in the next version (in dev branch).