Comments (3)
Ah, yes you are right. We just released the task generation on the production server so that tasks are now autogenerated. The old example tasks have been removed, but it seems that the run results belonging to them were not wiped, which means that you receive the results of the old task #1.
We'll just wipe the old results if that is ok with you?
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That's perfectly fine with me.
from openml.
Task search is totally redesigned (again), task id's should still be consistent.
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Related Issues (20)
- Give back error messages when something with a dataset upload went wrong HOT 1
- Return error code 404 instead of 412 when dataset is not found
- [Server Error] HOT 1
- Issues uploading to test server (production works fine)
- Feature Request: Active Classification Task
- `Code 215: Database error. Setup search query failed - None`
- list_tasks() return task less than shown on the website HOT 1
- Dead link in README: "Citation and Honor Code" HOT 1
- Provide test datasets where labels are hidden HOT 2
- `parquet_url` incorrectly provided for non-arff formats
- Server error when creating a new task HOT 1
- Missing error message on blank fields
- Same dataset can be uploaded multiple times
- ServerError: server failed with HTTP status code 503 HOT 9
- Bucket does not exist or is private. Failed to download parquet, fallback on ARFF. HOT 2
- Cannot edit dataset HOT 1
- ElasticSearch user mapping: first name and last name should use a normalizer to allow case-insensitive sort
- JSON endpoint can return XML
- Weird task state for 361162?
- Delete HOT 1
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