Comments (1)
Any news on this? Scikit-learn 1.3 is really quite outdated, and with lots of good new stuff in 1.5 and 1.6 it's really hard for me to justify to keep the old version only to use DeepChecks
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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- [BUG] Outdated Examples - COCOData does not exist HOT 1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
- [BUG] Creating a text data for classification task with all labels = none causes exception HOT 1
- [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
- [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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