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cellrank.ul.models.GAM
cellrank.ul.models.GAMR
cellrank.ul.models.SKLearnModel
cellrank.ul.models.SKLearnModel.adata
cellrank.ul.models.SKLearnModel.conf_int
cellrank.ul.models.SKLearnModel.model
cellrank.ul.models.SKLearnModel.prepared
cellrank.ul.models.SKLearnModel.shape
cellrank.ul.models.SKLearnModel.w
cellrank.ul.models.SKLearnModel.w_all
cellrank.ul.models.SKLearnModel.x
cellrank.ul.models.SKLearnModel.x_all
cellrank.ul.models.SKLearnModel.x_hat
cellrank.ul.models.SKLearnModel.x_test
cellrank.ul.models.SKLearnModel.y
cellrank.ul.models.SKLearnModel.y_all
cellrank.ul.models.SKLearnModel.y_hat
cellrank.ul.models.SKLearnModel.y_test
cellrank.ul.models.SKLearnModel.confidence_interval
cellrank.ul.models.SKLearnModel.copy
cellrank.ul.models.SKLearnModel.default_confidence_interval
cellrank.ul.models.SKLearnModel.fit
cellrank.ul.models.SKLearnModel.plot
cellrank.ul.models.SKLearnModel.predict
cellrank.ul.models.SKLearnModel.prepare
cellrank.ul.models.SKLearnModel.read
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cellrank.ul.models.SKLearnModel
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cellrank.ul.models.SKLearnModel.y_all
cellrank.ul.models.SKLearnModel.y_all
property
SKLearnModel.
y_all
:
numpy.ndarray
Unfiltered dependent variables of shape
(n_cells, 1)
.
Return type
ndarray
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