Comments (2)
Deprecated since version 1.1: The loss ‘log’ was deprecated in v1.1 and will be removed in version 1.3. Use loss='log_loss' which is equivalent
Looks like the latest version of scikit-learn (1.3.0) doesn't support loss 'log'. Untill this has been patched on celltypist you'll have to use the previous version of scikit-learn:
pip install -U scikit-learn==1.2.2
from celltypist.
This should be solved in the new version (1.6.0)
from celltypist.
Related Issues (20)
- " have completed preprocessing and cell clustering. " HOT 2
- codes for harmonizing the cell labels HOT 2
- the question about conf_score HOT 3
- CellTypist_Immune_Reference_v2 question HOT 2
- Immune_All_Low - model training question HOT 4
- Cluster-level label prediction HOT 1
- Running celltypist with concatenated dataset HOT 4
- Running the CellTypist training function celltypist.train on a subset of genes HOT 1
- ValueError in celltypist.annotate HOT 3
- Harmonize and Integrate HOT 1
- Potentially misleading error when counts are not in expected range HOT 3
- Request: allow to specify AnnData layer to use HOT 1
- confidence score definition HOT 2
- Issues running with conda HOT 3
- Using model trained by scRNA-seq datasets to predict Spatial transcriptmoic dataset HOT 2
- Unable to allocate xxx GiB for an array with shape and data type float64 HOT 2
- Running `celltypist.annotate` with `min_prop` can't create "Heterogeneous" category HOT 2
- Use of metacells? HOT 4
- unable to download models HOT 3
- Feature Request: Store freqs in annotation when majority_vote set to True HOT 2
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