def compute_mu(L_aug, Y, k, p):
    """Given label matrix L_aug and labels Y, compute the true mu params.

    Args:
        L: (np.array {0,1}) [n, d] The augmented (indicator) label matrix
        Y: (np.array int) [n] The true labels in {1,...,k}
        k: (int) Cardinality
        p: (np.array float) [k] The class balance
    """
    n, d = L_aug.shape
    assert Y.shape[0] == n

    # Compute mu
    mu = np.zeros((d, k))
    for y in range(1, k + 1):
        L_y = L_aug[Y == y]
        mu[:, y - 1] = L_y.sum(axis=0) / L_y.shape[0]
    return mu
Given label matrix L_aug and labels Y, compute the true mu params.

    Args:
        L: (np.array {0,1}) [n, d] The augmented (indicator) label matrix
        Y: (np.array int) [n] The true labels in {1,...,k}
        k: (int) Cardinality
        p: (np.array float) [k] The class balance