ForHeart

分类

/ 注册

TA的专栏 153篇文章 31人订阅

进阶高级测试工程师

142篇文章 1443人学习

AI自动测试化入门到精通

11篇文章 912人学习

全部文章（共156篇）

题解 | 特征扩展实现

import numpy as np def feature_scaling(data): # 补全代码 # 标准化 (Z-score 标准化) mean = np.mean(data, axis=0) std = np.std(data, axis=0) ...

2025-03-04

0 74

题解 | 使用梯度下降的线性回归

import numpy as np def linear_regression_gradient_descent(X, y, alpha, iterations): # 补全代码 m, n = X.shape theta = np.zeros((n,1)) # 包括截距项...

2025-03-04

0 82

题解 | 实现压缩行稀疏矩阵（CSR）格式转换

import numpy as np import scipy.sparse def compressed_row_sparse_matrix(dense_matrix): csr_matrix = scipy.sparse.csr_matrix(dense_matrix) vals...

2025-03-03

0 65

题解 | 将向量转换为对角矩阵

import numpy as np def make_diagonal(x): arr = np.array( x , dtype=np.float32 ) return np.diag(arr) if __name__ == "__main__&q...

2025-03-03

0 72

题解 | 基向量变换矩阵

import numpy as np def transform_basis(B, C): res = np.linalg.solve(C,B).tolist() return res if __name__ == "__main__": B = ...

2025-03-03

0 61

题解 | 基向量变换矩阵

import numpy as np def transform_basis(B, C): res = np.linalg.solve(C,B).tolist() return res if __name__ == "__main__": B = ...

2025-03-03

0 78

题解 | 基向量变换矩阵

import numpy as np def transform_basis(B, C): B1 = np.linalg.inv(B) res = np.linalg.solve(C,B).tolist() return res if __name__ == &quo...

2025-03-03

0 79

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...

2025-03-03

0 77

题解 | 泊松分布概率计算器

import math from scipy.stats import poisson def poisson_probability(k, lam): """ Calculate the probability of observing exactly k ev...

2025-03-03

0 93

题解 | 数组中只出现一次的两个数字

# # 代码中的类名、方法名、参数名已经指定，请勿修改，直接返回方法规定的值即可 # # # @param nums int整型一维数组 # @return int整型一维数组 # class Solution: def FindNumsAppearOnce(self , nums: L...

2025-03-03

0 57