scvi-tools biology genomics single-cell model_cls_name:SCVI scvi_version:1.0.4 anndata_version:0.9.1 modality:rna annotated:True license:cc-by-4.0 region:us
---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCVI
- scvi_version:1.0.4
- anndata_version:0.9.1
- modality:rna
- annotated:True
---

# Description

mmColon_single_cell_85K.mouse.h5ad

# 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": "nb",
    "latent_distribution": "normal"
}
```

**model_setup_anndata_args**:
```json
{
    "layer": null,
    "batch_key": null,
    "labels_key": null,
    "size_factor_key": "total_counts",
    "categorical_covariate_keys": null,
    "continuous_covariate_keys": null
}
```

**Training curve**:
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6541ec57982a653159bbcd4a/1FIGFEUxg8K406QfaZOzP.png)

**Embedding plots**:
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6541ec57982a653159bbcd4a/HMisJ4Kq0RrwZMxxAl75A.png)

**model_summary_stats**:
|[1m [0m[1m    Summary Stat Key    [0m[1m [0m|[1m [0m[1mValue[0m[1m [0m|
|--------------------------|-------|
|[94m [0m[94m        n_batch         [0m[94m [0m|[35m [0m[35m  1  [0m[35m [0m|
|[94m [0m[94m        n_cells         [0m[94m [0m|[35m [0m[35m84612[0m[35m [0m|
|[94m [0m[94mn_extra_categorical_covs[0m[94m [0m|[35m [0m[35m  0  [0m[35m [0m|
|[94m [0m[94mn_extra_continuous_covs [0m[94m [0m|[35m [0m[35m  0  [0m[35m [0m|
|[94m [0m[94m        n_labels        [0m[94m [0m|[35m [0m[35m  1  [0m[35m [0m|
|[94m [0m[94m      n_latent_qzm      [0m[94m [0m|[35m [0m[35m 10  [0m[35m [0m|
|[94m [0m[94m      n_latent_qzv      [0m[94m [0m|[35m [0m[35m 10  [0m[35m [0m|
|[94m [0m[94m         n_vars         [0m[94m [0m|[35m [0m[35m18416[0m[35m [0m|

**model_data_registry**:
|[1m [0m[1m  Registry Key   [0m[1m [0m|[1m [0m[1m        scvi-tools Location         [0m[1m [0m|
|-------------------|--------------------------------------|
|[94m [0m[94m        X        [0m[94m [0m|[35m [0m[35m              adata.X               [0m[35m [0m|
|[94m [0m[94m      batch      [0m[94m [0m|[35m [0m[35m      adata.obs['_scvi_batch']      [0m[35m [0m|
|[94m [0m[94m     labels      [0m[94m [0m|[35m [0m[35m     adata.obs['_scvi_labels']      [0m[35m [0m|
|[94m [0m[94m   latent_qzm    [0m[94m [0m|[35m [0m[35m   adata.obsm['_scvi_latent_qzm']   [0m[35m [0m|
|[94m [0m[94m   latent_qzv    [0m[94m [0m|[35m [0m[35m   adata.obsm['_scvi_latent_qzv']   [0m[35m [0m|
|[94m [0m[94m   minify_type   [0m[94m [0m|[35m [0m[35madata.uns['_scvi_adata_minify_type'][0m[35m [0m|
|[94m [0m[94mobserved_lib_size[0m[94m [0m|[35m [0m[35madata.obs['_scvi_observed_lib_size'][0m[35m [0m|
|[94m [0m[94m   size_factor   [0m[94m [0m|[35m [0m[35m     adata.obs['total_counts']      [0m[35m [0m|

**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.

<!-- If your model is not uploaded with any data (e.g., minified data) on the Model Hub, then make
sure to provide this field if you want users to be able to access your training data. See the scvi-tools
documentation for 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

10.6084/m9.figshare.24670038.v1