VineethKumar7

import torch
import torch.nn as nn
from torch.utils.data import DataLoader

def calculate_mse_loss(model: nn.Module, dataloader: DataLoader, max_samples: int = None, device: torch.device = torch.device("cpu")) -> float:
    """
    Calculate the Mean Squared Error (MSE) loss between the predictions of a model and the actual target values
    in a dataset.

    Parameters:

VineethKumar7

[INFO] Scanning for projects...
[INFO]                                                                         
[INFO] ------------------------------------------------------------------------
[INFO] Building employee 0.0.1-SNAPSHOT
[INFO] ------------------------------------------------------------------------
[INFO] 
[INFO] --- walkmod-maven-plugin:1.0.3:apply (default-cli) @ employee ---
 INFO [main] - C:\Users\User\Drive\Desktop\Project\Walkmode\Employee-Sample-App-master\Employee-Sample-App-master\walkmod.xml [ok]
:: loading settings :: url = jar:file:/C:/Users/User/.m2/repository/org/walkmod/walkmod-cmd/3.0.0/walkmod-cmd-3.0.0.jar!/ivysettings.xml
:: loading settings :: url = jar:file:/C:/Users/User/.m2/repository/org/apache/ivy/ivy/2.4.0-rc1/ivy-2.4.0-rc1.jar!/org/apache/ivy/core/settings/ivysettings.xml