机器学习基于R包mlr3(15)--聚类-层次聚类
1、层次聚类简介 1.1 计算步骤 层次聚类hierarchical clustering常用的是自下而上的聚合法(Agglomerative)。与之相...
1、层次聚类简介 1.1 计算步骤 层次聚类hierarchical clustering常用的是自下而上的聚合法(Agglomerative)。与之相...
1、算法与工具简介 1.1 EM算法 EM, Expectation-Maximization 期望最大化算法 混合分布:来自两种或两种以上概率分布(高斯分布最典型)的随机数据组成的一组混合数据所形成的...
一、数据预处理 1. 数据拆分 sklearn.model_selection.train_test_split() 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 from sklearn.datasets import load_wine from sklearn.model_selection import train_test_split import pandas as pd wine = load_wine() # 字典 feats = wine["data"] feats_name = wine["feature_names"] feats_df = pd.DataFrame(feats, columns=feats_name) targets...
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 import pandas as pd from sklearn.datasets import load_wine from sklearn.preprocessing import StandardScaler from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier tree_classif = DecisionTreeClassifier() wine = load_wine() # 字典 feats = wine["data"] feats_name = wine["feature_names"] feats_df = pd.DataFrame(feats, columns=feats_name) targets = wine["target"].reshape((-1,1)) #feats_df.shape, targets.shape train_X, test_X, train_y, test_y = train_test_split(feats_df, targets, test_size=0.2, random_state=42) train_X.shape,...
目的:演示常见几种分类器的使用方法,对其超参数调优候选超参数的选择 0、示例数据 1 2 3 4 5 6 7 8 9 10 11 12 from sklearn import datasets from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.model_selection import cross_val_score from sklearn.model_selection import...
目的:演示常见几种回归器的使用方法,对其超参数调优候选超参数的选择 0、示例数据 1 2 3 4 5 6 7 8 9 10 11 12 from sklearn import datasets from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.model_selection import cross_val_score from sklearn.model_selection import...
最先在李沐大神在B站的分享中了解到autogluon,它是一个自动机器学习工具,可用于文本图片识别、表格任务等。据说效果非常不错&ndash...
1、TTD数据库简介 首先关于靶点的生物学定义是: 生物学靶点(英語:Biological target)是指位于生物体内,能够被其他物质(配体、...
Cmap LINCS计划采用L1000技术进行大规模的细胞系干扰实验测序,得到差异基因。具体可分为Phase-1,Phase-2两个阶段。数据已整理...
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