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(共18篇)
题解 | 多项式特征的Phi变换
import numpy as np def phi_transform(data: list[float], degree: int) -> list[list[float]]: """ Perform a Phi Transformation to ma...
2026-04-19
0
19
题解 | 描述性统计计算器
from os import stat_result import numpy as np def descriptive_statistics(data): # Your code here data=np.array(data) mean=np.mean(data) ...
2026-04-19
0
18
题解 | 计算向量之间的余弦相似度
import numpy as np def cosine_similarity(v1, v2): # Implement your code here v1=np.array(v1) v2=np.array(v2) dot=v1.dot(v2) norm_v1=...
2026-04-19
0
17
题解 | 实现压缩列稀疏矩阵
from scipy.sparse import csc_matrix def compressed_col_sparse_matrix(dense_matrix): csc=csc_matrix(dense_matrix) return csc.data.tolist(),cs...
2026-04-19
0
15
题解 | 实现向量到直线的正交投影
import numpy as np def orthogonal_projection(v, L): v=np.array(v) L=np.array(L) vl=v.dot(L) l2=L.dot(L) scalar=vl/l2 projL=sca...
2026-04-19
0
17
题解 | 实现压缩行稀疏矩阵(CSR)格式转换
# def compressed_row_sparse_matrix(dense_matrix): # vals=[] # col_idx=[] # row_ptr=[0] # for row in dense_matrix: # for col,va...
2026-04-19
0
15
题解 | 实现压缩行稀疏矩阵(CSR)格式转换
def compressed_row_sparse_matrix(dense_matrix): vals=[] col_idx=[] row_ptr=[0] for row in dense_matrix: for col,val in enumera...
2026-04-19
0
14
题解 | 基向量变换矩阵
import numpy as np def transform_basis(B, C): C_inv=np.linalg.inv(C) result=C_inv.dot(B) return result.tolist() if __name__ == "__main__&qu...
2026-04-19
0
15
题解 | 矩阵和向量的点积
import numpy as np def matrix_vector_dot_product(matrix, vector): # 补全代码 matrix=np.array(matrix) vector=np.array(vector) if matrix.sha...
2026-04-18
0
18
题解 | 统计复旦用户8月练题情况
select u.device_id,university, sum(if(result is null,0,1)) question_cnt, sum(if(result='right',1,0)) right_question_cnt from user_profile u left join ...
2026-03-29
0
29
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