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Write classification model output to a file for later use in reports. #451
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melanibe
previously approved these changes
May 4, 2021
ozan-oktay
reviewed
May 4, 2021
ozan-oktay
reviewed
May 4, 2021
| ml_util.set_random_seed(config.get_effective_random_seed(), "Model Testing") | ||
| ds = config.get_torch_dataset_for_inference(data_split).as_data_loader( | ||
| shuffle=False, | ||
| batch_size=1, |
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I think the batch size was set to 1 in the past and it is not related to this PR. However, if you think that inference metric computation takes long, we could do the inference, metric computation, and logging in batches as well.
melanibe
approved these changes
May 4, 2021
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A file
model_outputs.csvis written with columnssubject,prediction_target,label,model_outputandcross_validation_split. This file is not written out for sequence models.This PR also changes the signature for the function
generate_custom_reportinModelConfigBase.