Synthetic Datasets for Numeric Uncertainty Quantification

Synthetic Datasets for Numeric Uncertainty QuantificationThe Source of Dataset with Generation ScriptWe generate these synthetic datasets with the help of the following python script in the Kaggle.https://www.kaggle.com/dipuk0506/toy-dataset-for-regression-and-uqHow to Use DatasetsTrain Shallow NNsThe following notebook presents how to train Shallow NNs.https://www.kaggle.com/dipuk0506/shallow-nn-on-toy-datasetsVersion-N of the notebook applies a shallow NN to Data-N.Train RVFLThe following notebook presents how to train Random Vector Functional Link (RVFL) Networks.https://www.kaggle.com/dipuk0506/shallow-nn-on-toy-datasetsVersion-N of the notebook applies an RVFL network to Data-N.

面向数值不确定性量化的合成数据集
数据集来源与生成脚本
我们借助以下Python脚本在Kaggle平台生成了本批合成数据集：
https://www.kaggle.com/dipuk0506/toy-dataset-for-regression-and-uq

数据集使用指南
训练浅层神经网络
以下Notebook演示了浅层神经网络的训练方法：
https://www.kaggle.com/dipuk0506/shallow-nn-on-toy-datasets
该Notebook的第N版本将浅层神经网络应用于Data-N数据集。

训练随机向量功能链接（Random Vector Functional Link, RVFL）网络
以下Notebook演示了随机向量功能链接（RVFL）网络的训练方法：
https://www.kaggle.com/dipuk0506/shallow-nn-on-toy-datasets
该Notebook的第N版本将RVFL网络应用于Data-N数据集。