scikit-learn 学习笔记
关于数据集dataset
1. 可以查看官网的描述 : http://scikit-learn.org/stable/datasets/index.html
2. 也可以 直接看source code.
load_boston() #Load and return the boston house-prices dataset (regression).
load_iris() #Load and return the iris dataset (classification).
load_diabetes() #Load and return the diabetes dataset (regression).
load_digits([n_class]) #Load and return the digits dataset (classification).
load_linnerud() #Load and return the linnerud dataset (multivariate regression).
return 的对象:”Dictionary-like object that exposes its keys as attributes.”
数据类型:自定义一个class:类似字典 的类
the interesting attributes are:
‘data’ : the data to learn;
‘target’ : the classification labels
‘target_names’ : the meaning of the labels,
‘feature_names’ : the meaning of the features,
‘DESCR’ : the full description of the dataset.