[机器学习]随手记

pca输出主成分 

def pca(data, k):
    # TODO: 实现 PCA 的逻辑,输出前k个主成分
    mean=np.mean(data,axis=0)
    std=np.std(data,axis=0)
    data_std=(data-mean)/std
    cov=np.cov(data_std.T)
    evalue,evector=np.linalg.eig(cov)
    sorted_id=np.argsort(evalue)[::-1]
    top_k_id=sorted_id[:k]
    principal_components=evector[:,top_k_id]
    return principal_components

 .json文件的导入

    with open(file_name,'r') as file:
        data_json=json.load(file)

.html文件的导入

    with open(file_name,'r') as file:
        data_html=file.read()