jurgendn's picture
[Demo Gradio] Add to Huggingface Space
4c41a36
raw
history blame contribute delete
762 Bytes
from typing import Dict
import torch
from torchmetrics import functional as FM
def regression_metrics(preds: torch.Tensor,
target: torch.Tensor) -> Dict[str, torch.Tensor]:
"""
get_classification_metrics
Return some metrics evaluation the classification task
Parameters
----------
preds : torch.Tensor
logits, probs
target : torch.Tensor
targets label
Returns
-------
Dict[str, torch.Tensor]
_description_
"""
mse: torch.Tensor = FM.mean_squared_error(preds=preds, target=target)
mape: torch.Tensor = FM.mean_absolute_percentage_error(preds=preds,
target=target)
return dict(mse=mse, mape=mape)