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...
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,...
importtorchimporttorch.nnasnnimporttorch.optimasoptimimportnumpyasnpimportpandasaspdimportmatplotlib.pyplotaspltfromsklearn.model_selectionimporttrain_test_split, KFoldfromsklearn.metricsimportmean_squared_error, r2_scorefromsklearn.preprocessingimpor...
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 # Run training and evaluationwithTorchDynamo optimization train...
from sklearn.metrics import mean_squared_error, r2_score from sklearn.preprocessing import StandardScaler from torch import _dynamo as torchdynamo from typing import List # Generate synthetic dataset np.random.seed(42) torch.manual_seed(42) ...
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...
# 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], ...
def wrapper_npu_rotary_mul(x, r1, r2): return NPURotaryMulOP.apply(x, r1, r2) def add_onnx_ops(): torch_npu.npu_one_hot = wrapper_npu_one_hot torch_npu.npu_slice = wrapper_npu_slice torch_npu.npu_roi_align = wrapper_npu_roi_align torch_npu.npu_iou =...
Regression ( ExplainedVariance, PearsonCorrCoef, R2Score and few more ) Text ( BleuScore, RougeScore, WordErrorRate and few more ) In total torchmetrics contains 60+ metrics! Contribute! The lightning + torchmetric team is hard at work adding even more metrics. But we're looking for incredib...
>>> # Mimic R2Score in `multioutput`, `raw_values` mode: >>> import torch >>> from torchmetrics import MultioutputWrapper, R2Score >>> from torchmetrics.wrappers import MultioutputWrapper >>> from torchmetrics.regression import R2Score >>> target = torch.tensor([[0.5, 1], [-1, 1...