Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- OnClass.data-00000-of-00001 +3 -0
- OnClass.index +0 -0
- OnClass.meta +0 -0
- OnClass.npz +3 -0
- accuracies.json +4 -0
- celltypist.pkl +3 -0
- checkpoint +2 -0
- harmony_knn_classifier.joblib +3 -0
- obo_dag.joblib +3 -0
- popv_output/predictions.csv +0 -0
- preprocessing.json +0 -0
- pynndescent_index.joblib +3 -0
- scanvi/model.pt +3 -0
- scvi/model.pt +3 -0
- scvi_knn_classifier.joblib +3 -0
- svm_classifier_cuml.joblib +3 -0
- xgboost_classifier.model +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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OnClass.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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OnClass.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:437a84b08330e0a7e417518329d0850e817587e8fdd03e1ff5e113b4f8ab4f29
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size 27239224
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OnClass.index
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Binary file (222 Bytes). View file
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OnClass.meta
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Binary file (72.4 kB). View file
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OnClass.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:0452995e0c0836915e7f051da659b9708a580a6009c3277dc4c91ac1f560b579
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size 144124524
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accuracies.json
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{
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"query_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T cell | 312 | 1.00 | 0.99 | 0.99 | 0.99 | 0.00 | 0.99 | 0.99 | 0.99 | 0.99 |\n| stromal cell | 261 | 0.99 | 1.00 | 0.99 | 1.00 | 0.00 | 0.98 | 1.00 | 0.99 | 1.00 |\n| luminal epithelial cell of mammary gland | 206 | 0.99 | 0.99 | 0.99 | 0.99 | 0.00 | 1.00 | 0.99 | 0.99 | 0.99 |\n| B cell | 176 | 1.00 | 0.98 | 0.99 | 0.98 | 0.00 | 0.97 | 0.99 | 0.99 | 0.99 |\n| basal cell | 164 | 0.97 | 0.99 | 0.99 | 1.00 | 0.00 | 0.98 | 0.99 | 0.98 | 1.00 |\n| endothelial cell | 56 | 0.99 | 0.99 | 0.99 | 0.99 | 0.00 | 0.99 | 0.99 | 1.00 | 0.99 |\n| macrophage | 55 | 0.95 | 0.97 | 0.94 | 0.91 | 0.00 | 0.95 | 0.96 | 0.95 | 0.96 |",
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"ref_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T cell | 2908 | 0.99 | 0.99 | 1.00 | 0.99 | 0.00 | 0.99 | 0.99 | 0.99 | 0.99 |\n| stromal cell | 2522 | 0.99 | 1.00 | 1.00 | 1.00 | 0.00 | 0.99 | 1.00 | 0.99 | 1.00 |\n| luminal epithelial cell of mammary gland | 1697 | 0.98 | 0.99 | 0.99 | 0.99 | 0.00 | 0.99 | 0.99 | 0.99 | 0.99 |\n| B cell | 1456 | 0.99 | 0.99 | 0.99 | 0.98 | 0.00 | 0.98 | 0.99 | 0.98 | 0.99 |\n| basal cell | 1423 | 0.99 | 1.00 | 1.00 | 1.00 | 0.00 | 0.99 | 1.00 | 0.99 | 1.00 |\n| endothelial cell | 595 | 0.99 | 0.99 | 1.00 | 1.00 | 0.00 | 0.99 | 1.00 | 1.00 | 1.00 |\n| macrophage | 464 | 0.94 | 0.95 | 0.97 | 0.93 | 0.00 | 0.95 | 0.96 | 0.94 | 0.97 |"
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}
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celltypist.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:c58ee6821eddfff79013664bccf731a8d69379911a95ec666ac4e516ce8aee2e
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size 293342
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checkpoint
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model_checkpoint_path: "OnClass"
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all_model_checkpoint_paths: "OnClass"
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harmony_knn_classifier.joblib
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oid sha256:c5aef1116b2651207f9b2dfc7fca2c5d689ebcd0d68e0a0e45e4f58d0fcb4228
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size 8426261
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obo_dag.joblib
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oid sha256:88b6c19fc939f3c304978a10ef8b7cc6ba69d2d4a0a0613df8312b4ee3a26313
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size 321386
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popv_output/predictions.csv
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preprocessing.json
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pynndescent_index.joblib
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oid sha256:57a1b1029a78fa9c85e29a059d9580c436b8292c1532be07e6d358ef793bedd3
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size 8954299
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scanvi/model.pt
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oid sha256:282f0c44bf2930a9744b36cc325fc81e4b2f704964c692f1a85f9628ee0ae82a
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size 11410476
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scvi/model.pt
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oid sha256:47ab61addbacd106d13a7371066d06dcc67e47c998f67207d756ce893785d86b
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size 10901437
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scvi_knn_classifier.joblib
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oid sha256:6489f439abc1d93b300ee450cf58c44381b5aa6077e7a0b3197fd714788d32fb
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size 4686021
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svm_classifier_cuml.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:00c40adec775b4a5512c8cf5f56979ff7d1dde99f70054cbfc25482081c46747
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size 120875
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xgboost_classifier.model
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oid sha256:0bdb29fbb29bf049437174007e94661f20657626c524209f208e90fba4f67f14
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size 1787461
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