KatLeChat
/

EpiClass-assay-11classes

Model card Files Files and versions

KatLeChat commited on Aug 26, 2025

Commit

46de832

·

verified ·

1 Parent(s): 29a9b3e

fix training run ID

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -16,6 +16,6 @@ Epigenome Assay/Target classifier trained on the [EpiATLAS dataset](https://ihec
 The model is a simple fense feedforward neural network, with one hidden layer of 3000 nodes.The model was trained using PyTorch Lightning. See Github repository [rabyj/epi_ml](https://github.com/rabyj/epi_ml/blob/master/src/python/epi_ml/core/model_pytorch.py) for model code.
-See the .o and .e files for training details. More information is also available on Comet ML, in the rabyj/epiclass project. The ID of this training run is [69488630801b4a05a53b5d9e572f0aaa](https://www.comet.com/rabyj/epiclass/69488630801b4a05a53b5d9e572f0aaa)
 For more context, see the associated publication: Leveraging the largest harmonized epigenomic data collection for metadata prediction validated and augmented over 350,000 public epigenomic datasets

 The model is a simple fense feedforward neural network, with one hidden layer of 3000 nodes.The model was trained using PyTorch Lightning. See Github repository [rabyj/epi_ml](https://github.com/rabyj/epi_ml/blob/master/src/python/epi_ml/core/model_pytorch.py) for model code.
+See the .o and .e files for training details. More information is also available on Comet ML, in the rabyj/epiclass project. The ID of this training run is [0f8e5eb996114868a17057bebe64f87c](https://www.comet.com/rabyj/epiclass/0f8e5eb996114868a17057bebe64f87c)
 For more context, see the associated publication: Leveraging the largest harmonized epigenomic data collection for metadata prediction validated and augmented over 350,000 public epigenomic datasets