在torchmetrics库中,r2_score应该存在于torchmetrics.functional模块中。不同版本的torchmetrics可能包含不同的功能和bug修复,因此您需要确认当前版本是否支持r2_score。 您可以通过查阅torchmetrics的官方文档或GitHub仓库的发布说明来确认这一点。如果当前版本不支持,您可能需要更新到更高版本的torchmetrics。 3. 确认导入...
KFoldfromsklearn.metricsimportmean_squared_error, r2_scorefromsklearn.preprocessingimportStandardScalerfromtorchimport_dynamoastorchdynamofromtypingimportList# Generate synthetic datasetnp.random.seed(42)torch.manual_seed(42)# Feature engineering
test_r2 = r2_score(y_test.detach().numpy(), y_pred_test.detach().numpy()) return train_losses_per_epoch, val_losses_per_epoch, test_loss, test_r2 # Run training and evaluation with TorchDynamo optimization train_losses, val_losses, test_loss, test_r2 = train_and_evaluate(model, cr...
test_r2=r2_score(y_test.detach().numpy(), y_pred_test.detach().numpy()) returntrain_losses_per_epoch, val_losses_per_epoch, test_loss, test_r2 # Run training and evaluation with TorchDynamo optimization train_losses, val_losses, test_loss, test_r2=train_and_evaluate(model, criterion,...
model.eval()y_pred_test=model(X_test)test_loss=criterion(y_pred_test,y_test).item()test_r2=r2_score(y_test.detach().numpy(),y_pred_test.detach().numpy())returntrain_losses_per_epoch,val_losses_per_epoch,test_loss,test_r2
classification: 包含分类任务的指标,如 Accuracy, Precision, Recall, F1Score 等。 torchmetrics.regression: 包含回归任务的指标,如 MeanSquaredError, MeanAbsoluteError, R2Score 等。 torchmetrics.retrieval: 包含推荐系统任务的指标,如 HitRate, MeanAveragePrecision, NormalizedDiscountedCumulativeGain 等。
# score(X,y [,sample_weight])返回预测的确定系数R2R2。 # set_params(**params)设置此估计器的参数 # 样本数据集,第一列为x,第二列为y,在x和y之间建立回归模型 data=[ [0.067732,3.176513],[0.427810,3.816464],[0.995731,4.550095],[0.738336,4.256571],[0.981083,4.560815], ...
fromsklearn.metricsimportmean_squared_error, r2_score fromsklearn.preprocessingimportStandardScaler fromtorchimport_dynamoastorchdynamo fromtypingimportList # Generate synthetic dataset np.random.seed(42) torch.manual_seed(42) # Feature engineering: create synthetic datan_samples=1000n_features=10X=np.ra...
>>> from torchmetrics import MultioutputWrapper, R2Score >>> from torchmetrics.wrappers import MultioutputWrapper >>> from torchmetrics.regression import R2Score >>> target = torch.tensor([[0.5, 1], [-1, 1], [7, -6]]) >>> preds = torch.tensor([[0, 2], [-1, 2], [8, -5...
R2的配置: Router> Router>en Router#conf t Router(config)#int s2/0 Router(config-if)#ip address 192.168.20.2 255.255.255.0 Router(config-if)#no shutdown Router(config-if)#int f0/... 问答精选 lxc with nextcloud and nginx proxy: Unknown: POST Content-Length ...