accuracy.md
July 7, 2017 ยท View on GitHub
Basenji
Sequential regulatory activity predictions with deep convolutional neural networks.
Accuracy
basenji_test.py
Compute accuracy statistics for a trained model on a held out test set.
| Arguments | Type | Description |
|---|---|---|
| params_file | Text table | Model configuration parameters. |
| model file | TensorFlow Saver file | Trained Basenji model. |
| test_hdf5_file | HDF5 | Output HDF5 file with test_in/test_out keys. |
basenji_test_genes.py
Compute accuracy statistics for a trained model at gene TSSs.
| Arguments | Type | Description |
|---|---|---|
| params_file | Text table | Model configuration parameters. |
| model file | TensorFlow Saver file | Trained Basenji model. |
| genes_hdf5_file | HDF5 | HDF5 file with gene sequences and descriptions. |