mySKlearn工程文件结构 GitHub仓库目录 几点说明: 算法进度:当前已完成大部分经典算法,包括: 线性回归模型3个、线性分类(逻辑斯蒂回归)1个 朴素贝叶斯2个,多项式NB和高斯NB 决策树分类和回归各1个 K近邻分类和回归各1个 Kmeans聚类1个 降维算法1个,PCA 常用预处理模型 常用模型选择函数及网格搜索类 常用评价指标 ...
embedded = embedded[:-1]# Removes the last lineiffuzzyisFalse:# Getneighborscountcount = _get_count(embedded, r=r, distance=distance)else:# FuzzyEn: Remove the local baselines of vectorsembedded -= np.mean(embedded, axis=1, keepdims=True) count = _get_count_fuzzy(embedded, r=r, distan...
embedded = embedded[:-1]# Removes the last lineiffuzzyisFalse:# Getneighborscountcount = _get_count(embedded, r=r, distance=distance)else:# FuzzyEn: Remove the local baselines of vectorsembedded -= np.mean(embedded, axis=1, keepdims=True) count = _get_count_fuzzy(embedded, r=r, distan...