ValueError: Options for priors are vage and hierarchical

hetryn commented 1 year ago

cli.evaluate(
  model_type='1pl',
  parameter_path='train-eval-1pl/best_parameters.json',
  test_pairs_path='test_pairs.jsonlines',
  output_dir='test-1pl')

Running the above evaluation code gives the error ValueError: Options for priors are vague and hierarchical.

'train-eval-1pl/best_parameters.json' was trained with minitest.jsonlines
'test_pairs.jsonlines' consist of the example data as shown: {"subject_id": "ken", "item_id": "q1"} {"subject_id": "ken", "item_id": "q2"} {"subject_id": "burt", "item_id": "q1"} {"subject_id": "burt", "item_id": "q3"}

crobardet commented 7 months ago

I have the same problem.

daavidstein commented 7 months ago

same issue with 2pl

jplalor commented 6 months ago

This should be fixed now in the latest version. Thanks for your patience!

nd-ball / py-irt

ValueError: Options for priors are vage and hierarchical #51