Create PyTorch Datasets
from AnnData
Install from PYPI (current version: 0.0.24
):
pip install torch-adata
Install the developer version:
git clone https://github.com/mvinyard/torch-adata.git; cd torch-adata;
pip install -e .
The primary class is the AnnDataset
. This is a subclass of the widely-used torch.utils.data.Dataset
. The PyTorch Dataset
module enables us to take advantage of built-in multiprocessing and other organizational tricks that ultimately standardize workflows and enable reproducibility.
import anndata as a
import torch_adata
adata = a.read_h5ad("/path/to/data.h5ad")
dataset = torch_adata.AnnDataset(adata, use_key="X_pca", groupby="time", obs_keys=["affinity"])
[ torch-adata ]: AnnDataset object with 7131 samples
----------------------------------------------------
Grouped by: 'time' with attributes:
- X (use_key = 'X_pca') torch.Size([3, 7131, 50])
- obs: affinity: torch.Size([3, 7131, 1])
There is an additional approach to this dubbed AnnLoader
, highlighted by Sergei Rybakov in Interfacing pytorch models with anndata
For more information, please visit the documentation!
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