Tabular dataset*1: Train each algorithm in the predefined pool with a fixed hyperparameter configuration and dummy model fromsklearn.dummythat represents the worst possible performance. Time Series Forecasting dataset: Train a dummy predictor that repeats the last observed value in each series ...
i run demohttps://automl.github.io/Auto-PyTorch/master/examples/20_basics/example_tabular_classification.html#sphx-glr-examples-20-basics-example-tabular-classification-pyand meet error. i runpip install swigandpip install autoPyTorchsuccessfully installed. this error is caused by pynisher, maybe ...
aspltfromsklearn.preprocessingimportMinMaxScalerfromsklearn.metricsimport(precision_recall_curve,auc,average_precision_score,roc_curve,precision_score,recall_score,f1_score)importstatsmodels.apiassmfromutils.plot_culveimportplot_ROC,plot_PRCimporttimefromload_data.tabularimportload_tab_dataimportmodelsimport...