用Python编写phi(k)相关矩阵的简单代码

import numpy as np

def phi_k_matrix(samples):
    n = len(samples)
    matrix = np.zeros((n, n))
    
    for i in range(n):
        for j in range(n):
            if i == j:
                matrix[i][j] = 1.0
            else:
                matrix[i][j] = phi_k(samples[i], samples[j])
    
    return matrix

def phi_k(sample1, sample2):
    # 计算样本sample1和sample2之间的相关性
    # 这里假设已经实现了phi(k)相关性的计算方法
    # 可以根据具体需求进行实现
    
    return correlation

# 示例样本数据
samples = [sample1, sample2, sample3, ...]

# 计算phi(k)相关矩阵
result = phi_k_matrix(samples)

print(result)