API ML modified by tanzheng

tanzheng — Thu, 14 Dec 2023 17:28:21 -0000

Contents
* mlt_perceptron: Perceptron interface.
param:
*data: Perceptron data.
ex:*

var test_data = [
    [1, 2, 1],
    [2, 3, 1],
    [2, 1, 1],
    [2, 6, -1],
    [3, 5, -1]
];

var data = {
    eta: 0.5,
    max_iter_num: 0,
    row: test_data.length,
    col: test_data[0].length,
    data: test_data
};

var res = mlt_perceptron(data);
mlt_page_console_log(res);

mlt_knn: K-nearest neighbor interface.
param:
*data: K-nearest neighbor data.
ex:*

var test_data =
[1, 2, 1, [1, 1, 1], [2, 2, 1], [2, 1, 1], [1.5, 1.5, 1],
[10, 11, 2], [10, 10, 2], [11, 11, 2], [11, 10, 2], [10.5, 10.5, 2], [11.5, 11.5, 2],
[10, 2, 3], [10, 1, 3], [11, 2, 3], [11, 1, 3]
];

var data = {
k: 3,
norm_dist_num: 2,
category: 3,
dim: 2,
in_data: [4, 5],
data_len: test_data.length,
data: test_data
};

var ret = mlt_knn(data);
mlt_page_console_log(ret);
* mlt_naive_bayes: Naive Bayes interface.
param:
*data: Naive Bayes data.
ex:*

var data = {
have_den: 1,
cat_len: 3,
chara_len: 4,
pr_cat: [(3 / 8), (3 / 8), (2 / 8)],
pr_chara: [(3 / 8), (4 / 8), (4 / 8), (3 / 8)],
pr_cond_chara:
[(1 / 3), (1 / 3), (1 / 3), (1 / 3),
[(1 / 3), (2 / 3), (1 / 3), (1 / 3)],
[(1 / 2), (1 / 2), (2 / 2), (1 / 2)]
]
};

var p = mlt_naive_bayes(data);
mlt_page_console_log(p, '\n');
mlt_page_console_log(p[3] + 1, '\n');

Recent changes to API ML

API ML modified by tanzheng