cellrank.ul.models.FailedModel

class cellrank.ul.models.FailedModel(model, exc=None)

Model representing a failure of the original model.

Parameters

• model (BaseModel) – The original model which has failed.

• exc (Union[BaseException, str, None]) – The exception that caused the model to fail or a str containing the message. In the latter case, cellrank.ul.models.FailedModel.reraise() a RuntimeError with that message. If None, :class`UnknownModelError` will eventually be raised.

Attributes

adata	Annotated data object.
conf_int	Array of shape (n_samples, 2) containing the lower and upper bounds of the confidence interval.
model	Underlying model.
prepared	Whether the model is prepared for fitting.
shape	Number of cells in adata.
w	Filtered weights of shape (n_filtered_cells,) used for fitting.
w_all	Unfiltered weights of shape (n_cells,).
x	Filtered independent variables of shape (n_filtered_cells, 1) used for fitting.
x_all	Unfiltered independent variables of shape (n_cells, 1).
x_hat	Filtered independent variables used when calculating default confidence interval, usually same as x.
x_test	Independent variables of shape (n_samples, 1) used for prediction.
y	Filtered dependent variables of shape (n_filtered_cells, 1) used for fitting.
y_all	Unfiltered dependent variables of shape (n_cells, 1).
y_hat	Filtered dependent variables used when calculating default confidence interval, usually same as y.
y_test	Prediction values of shape (n_samples,) for x_test.

Methods

confidence_interval([x_test])	Do nothing.
copy()	Return a copy of self.
default_confidence_interval([x_test])	Do nothing.
fit([x, y, w])	Do nothing and return self.
plot([figsize, same_plot, hide_cells, perc, ...])	Plot the smoothed gene expression.
predict([x_test, key_added])	Do nothing.
prepare(*_args, **_kwargs)	Do nothing and return self.
read(fname[, adata, copy])	Deserialize self from a file.
reraise()	Raise the original exception with additional model information.
write(fname[, write_adata, ext])	Serialize self to a file.

Examples

Plot gene trends