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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 map...

2026-01-16

0 7

题解 | 点积计算器

import numpy as np def calculate_dot_product(vec1, vec2): """ Calculate the dot product of two vectors. Args: vec1...

2026-01-15

0 10

题解 | 泊松分布概率计算器

import math def poisson_probability(k, lam): """ Calculate the probability of observing exactly k events in a fixed interval, given...

2026-01-15

0 10

题解 | 描述性统计计算器

import numpy as np from scipy import stats def descriptive_statistics(data): # Your code here arr=np.array(data) mean=np.mean(arr) media...

2026-01-15

0 12

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 dot=np.dot(np.array(v1),np.array(v2)) val=dot/(np.linalg.norm(n...

2026-01-15

0 12

题解 | 实现压缩列稀疏矩阵

import numpy as np from scipy.sparse import csc_matrix def compressed_col_sparse_matrix(dense_matrix): dense_np=np.array(dense_matrix) csc=csc...

2026-01-15

0 6

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=np.array(v) l_np=np.array(L) dot_product=np.dot(v_np,l_np) projection=dot_pro...

2026-01-15

0 11

题解 | 实现压缩行稀疏矩阵（CSR）格式转换

import numpy as np from scipy.sparse import csr_matrix def compressed_row_sparse_matrix(dense_matrix): dense_np=np.array(dense_matrix) csr=csr...

2026-01-14

0 9

题解 | 将向量转换为对角矩阵

import numpy as np def make_diagonal(x): return np.diag(x).astype(float) if __name__ == "__main__": x = np.array(eval(inp...

2026-01-14

0 8

题解 | 基向量变换矩阵

import numpy as np def transform_basis(B, C): c_inv=np.linalg.inv(C) p=np.dot(c_inv,B) return p.tolist() if __name__ == "__main__&qu...

2026-01-14

0 7