readme: ---
  license: cc-by-4.0
  library_name: scvi-tools
  tags:
  - model_cls_name:SCVI
  - scvi_version:0.0.0
  - anndata_version:0.8.0
  - modality:rna
  - modality:protein
  - annotated:False
  ---
  
  # Description
  
  This is a demo model trained on synthetic 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_vars          |  100  |
  
  **model_data_registry**:
  | Registry Key |    scvi-tools Location    |
  |--------------|---------------------------|
  |      X       |          adata.X          |
  |    batch     | adata.obs['_scvi_batch']  |
  |    labels    | adata.obs['_scvi_labels'] |
  
  **model_parent_module**: scvi.model
  
  **data_is_latent**: False
  
  # 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.
  
  <!-- This field is required for models that haven't been minified by converting to latent
  mode. See the scvi-tools documentation for more details. -->
  
  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
  
  None. This is a demo model trained on synthetic data.