Comments (1)
The root cause: the application classifies the task as "multi_label" classification
from deepchecks.
Related Issues (20)
- [FEAT] Fixing Inconsistent Legend Colors for Train and Test Datasets in Train-Test-evaluation Charts HOT 2
- [BUG] Outdated Examples - COCOData does not exist HOT 1
- QST: why deepchecks use NumPy to storage the nlp text list,that can easily cause a memory overflow。 HOT 2
- [BUG] Incorrect Legends in FeatureDrift Check - DeepCheks v0.17.3 HOT 2
- Error adding custom scorers to SimpleModelComparison check
- [Docs] Documentation contains a mistake.
- [BUG] cannot import name 'is_datetime_or_timedelta_dtype' from 'pandas.core.dtypes.common' HOT 2
- The doc of new category train test is misleading [BUG]
- [OPTIMIZATION] function optimization for removing special chars from text.
- [BUG] data integrity suite passes when given a non-existing column to ignore HOT 2
- CVE-2023-24816 vulnerability in ipython package used by Deepchecks
- [FEAT] NLP property - sudden stop HOT 2
- [BUG] Scikit-learn 1.4.0 breaks _ProbaScorer HOT 1
- [FEAT] Better GitHub markdown reporting with emojis for checkmark ✅ and cross ❌ HOT 1
- [FEAT] create a helm chart for Kubernetes deployment of Deepchecks Monitoring Open Source. HOT 2
- [BUG] MyModelWrapper is incorrectly interpreted as "Regressor" for classification metrics
- [FEAT] Speed up `import deepchecks` by making it lazier
- [FEAT] LLM Support?
- [FEAT] Update dependencies
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from deepchecks.