小黑_BUPT的博客

torch.utils.Dataset PyTorch数据集配置class Dataset(object): r"""An abstract class representing a :class:`Dataset`. All datasets that represent a map from keys to data samples should subclass it. All subclasses should overwrite :meth:`__getitem__`,

主要方法: fit_transform, fit, transformOrdinalEncoder: Encode categorical features as an integer array. apiOneHotEncoder: 使用K中的一个，也称为一个热编码或伪编码。apinormalize: Scale input vectors individually to unit norm (vector length). apiStandardScaler: 线性变换z=(x-u)/s ap

python -c 'from torch.utils.collect_env import main; main()'

[学习记录] Boosting和BaggingBoostingBagging基学习器基学习器互相强依赖互相无依赖串行并行H(x)=∑t=1Tαtht(x)H(x)=\sum_{t=1}^{T}\alpha_{t}h_{t}(x)H(x)=t=1∑T​αt​ht​(x)H(x)=arg⁡min⁡y∈Υ∑t=1TI(ht(x)=y)H(x)=\mathop{\arg\min}_{y \in \Upsilon } \sum_{t=1}^{T}\mathbb{I}(h