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use 2-D numpy array data, encounter error

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error: **xgboost.core.XGBoostError: value 0 for Parameter num_class should be greater equal to 1**

This is a test result after I deployed the fate-serving based on cluster and pubished the trained model named _lr-test:_ **request body**: `{ "serviceId": "lr-test", "featureData": { "x0": 1.88669, "x1":...

in data/dataset.py ``` if self.train: # index of continous features are zero Xi_coutinous = np.zeros_like(dataI[:continous_features]) else: # index of continous features are one Xi_coutinous = np.ones_like(dataI[:continous_features]) ``` Why are the...

There is a question in this code - eval_metrics.py

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``` def calculate_roc(thresholds, distances, labels, nrof_folds=10): ------ for fold_idx, (train_set, test_set) in enumerate(k_fold.split(indices)): ------- ------- tpr = np.mean(tprs,0) fpr = np.mean(fprs,0) ``` Is it changed to the following way? ```...

请问增强半诚实模型如何理解呢？相比半诚实模型，其存在的必要性是什么？

wrap the 'seal/util' api in seal_fhe

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i hope that seal_fhe can support `seal/util` api, can you help