sfaira.train.SummarizeGridsearchEmbedding.plot_gradient_cor

SummarizeGridsearchEmbedding.plot_gradient_cor(model_organ: str, data_organ: str, model_type: Union[str, List[str]], metric_select: str, datapath: str, data_source: str, organism: Optional[str] = None, genome: Optional[str] = None, configpath: Optional[str] = None, store_format: Optional[str] = None, test_data=True, gene_type: str = 'protein_coding', partition_select: str = 'val', height_fig=7, width_fig=7, ignore_cache=False, min_cells=10, by_type=True, vmin=0.0, vmax=1.0, save=None)

Plot correlation heatmap of gradient vectors accumulated on input features between cell types or models.

Parameters

• model_organ –

• data_organ –

• model_type –

• metric_select –

• datapath –

• configpath –

• store_format –

• test_data –

• partition_select –

• height_fig –

• width_fig –

• ignore_cache –

• min_cells –

• by_type –

• vmin –

• vmax –

• save –

Returns