netmap.utils.netmap_configΒΆ
Classes
NetmapConfig(input_data: str = 'data.h5ad', layer: str = 'X', output_directory: str = 'netmap', transcription_factors: str = '', tf_only: bool = True, penalize_error: bool = True, adata_filename: str = 'grn_lrp.h5ad', grn: str = 'grn_lrp.tsv', masking_percentage: float = 0.1, print_every: int = 100, optimizer: str = 'Adam', learning_rate: float = 0.005, epochs: int = 10000, n_models: int = 20, validation_size: float = 0.2, model: str = 'NegativeBinomialAutoencoder', xai_method: str = 'GradientShap', aggregation_strategy: str = 'mean') |