摘要:In [1]: from sklearn.decomposition import PCA from sklearn.datasets import load_iris pca = PCA(n_components=2, whiten=True) # 主成分是两个,正则化为True iris = l
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posted @ 2019-02-21 11:07
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随笔分类 - scikit-learn
摘要:In [1]: from sklearn.decomposition import PCA from sklearn.datasets import load_iris pca = PCA(n_components=2, whiten=True) # 主成分是两个,正则化为True iris = l
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posted @ 2019-02-21 11:07
摘要:模型训练 In [6]: import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LinearRegression from sklearn.datasets import load_bo
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posted @ 2019-02-20 19:48
摘要:In [2]: from sklearn.datasets import load_iris iris = load_iris() iris.keys() Out[2]: dict_keys(['data', 'target', 'target_names', 'DESCR', 'feature_n
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posted @ 2019-02-20 16:14
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