Comments (4)
@justinsl,
Good news! The latest version of tscv was just deployed to the conda-forge channel. It is compatible with scikit-learn v1.2 and the ealier versions. Give it a spin!
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Great work btw, tscv has been very helpful
from tscv.
Hi @justinsl , thank you for your interest in TSCV.
Have you tried TSCV v0.1.3
? How did you install TSCV? From pip or conda? The newest version can be installed via pip but not conda yet.
from tscv.
Alright let me try that 😁
I've been installing with conda
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Related Issues (20)
- [Docs] Use this package for Nested Cross-Validation
- Intution on setting number of gaps HOT 1
- split.py depends on deprecated / newly private method `_safe_indexing` in scikit-learn 0.24.0 HOT 3
- Stratify? HOT 1
- Double count in `n_splits` in `GapLeavePOut` HOT 1
- Improve the user experience of `gap_train_test_split`
- Retrained version of GapWalkForward: GapRollForward HOT 1
- Continuous Integration
- Documentation
- Warning once is not enough HOT 1
- Documentation HOT 3
- GapWalkForward Issue with Scikit-learn 0.24.1 HOT 2
- Deprecation message for `GapWalkForward` HOT 1
- Publish on conda
- Implement Rep-Holdout HOT 11
- Error when Importing TSCV Gapwalkforward HOT 2
- Import error with latest sklearn version HOT 3
- GapKFold CV not working with sklearn cross_val_predict HOT 1
- GapLeavePOut CV not working with sklearn cross_val_predict HOT 1
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