predict_proba

besca.tl.auto_annot.predict_proba(classifier, scaler, adata_pred, threshold=0)

predicts on testing set using trained classifier and returns probabilities

Parameters:

• classifier (sklearn object) – trained classifier of chosen type

• scaler (sklearn.preprocessing.StandardScaler) – scaler fit to training dataset

• adata_pred (AnnData) – Preprocessed anndata object containing testing dataset.

• threshold (float | default = 0) – value between 0 and 1, used for classifying into unknowns

Returns:

• np.array – array of most likely class label for every cell

• np.array – array of all probabilities of all cell types