--- library_name: scvi-tools license: cc-by-4.0 tags: - biology - genomics - single-cell - model_cls_name:SCVI - scvi_version:1.2.0 - anndata_version:0.11.1 - modality:rna - annotated:False --- # Description scVI model trained on synthetic IID data and uploaded with the minified data. # Model properties Many model properties are in the model tags. Some more are listed below. **model_init_params**: ```json { "n_hidden": 128, "n_latent": 10, "n_layers": 1, "dropout_rate": 0.1, "dispersion": "gene", "gene_likelihood": "zinb", "latent_distribution": "normal" } ``` **model_setup_anndata_args**: ```json { "layer": null, "batch_key": null, "labels_key": null, "size_factor_key": null, "categorical_covariate_keys": null, "continuous_covariate_keys": null } ``` **model_summary_stats**: | Summary Stat Key | Value | |--------------------------|-------| | n_batch | 1 | | n_cells | 400 | | n_extra_categorical_covs | 0 | | n_extra_continuous_covs | 0 | | n_labels | 1 | | n_latent_qzm | 10 | | n_latent_qzv | 10 | | n_vars | 100 | **model_data_registry**: | Registry Key | scvi-tools Location | |-------------------|--------------------------------------| | X | adata.X | | batch | adata.obs['_scvi_batch'] | | labels | adata.obs['_scvi_labels'] | | latent_qzm | adata.obsm['_scvi_latent_qzm'] | | latent_qzv | adata.obsm['_scvi_latent_qzv'] | | minify_type | adata.uns['_scvi_adata_minify_type'] | | observed_lib_size | adata.obs['_scvi_observed_lib_size'] | **model_parent_module**: scvi.model **data_is_minified**: True # Training data This is an optional link to where the training data is stored if it is too large to host on the huggingface Model hub. Training data url: N/A # Training code This is an optional link to the code used to train the model. Training code url: N/A # References To be added...