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sklearn algorithm cheat-sheet

from sklearn import datasets from sklearn.linear_model import LinearRegression import matplotlib.pyplot as plt # 加载数据集 房价 loaded_data = datasets.load_boston() data_X = loaded_data.data data_y = load...

from sklearn import datasets from sklearn.linear_model import LinearRegression import matplotlib.pyplot as plt # 加载数据集 房价 loaded_data = datasets.load_boston() data_X = loaded_data.data data_y = load...

from sklearn import preprocessing # train data 和test_data 分开的模块 from sklearn.cross_validation import train_test_split # 用于生成一些 classification的数据 from sklearn.datasets.samples_generator import make_cla...

from sklearn import datasets from sklearn.cross_validation import train_test_split from sklearn.neighbors import KNeighborsClassifier # cross_validation交叉验证 iris = datasets.load_iris() X = iris.data...

from sklearn import svm from sklearn import datasets clf = svm.SVC() iris = datasets.load_iris() X, y = iris.data, iris.target clf.fit(X,y) # method:1 pickle # save import pickle # with open('save/c...