test-scvi-minified / README.md
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metadata
license: cc-by-4.0
library_name: scvi-tools
tags:
  - biology
  - genomics
  - single-cell
  - model_cls_name:SCVI
  - scvi_version:1.1.0rc2
  - anndata_version:0.10.4
  - 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:

{
    "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:

{
    "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...