private void btnCs_Click(object sender, EventArgs e)
{
try
{
string text = textBox1.Text;
switch (_mltype)
{
case (int)MLType.多类分类:
MLMultiApi mlMulti = new MLMultiApi();
TextShow("加载模型");
mlMulti.InitFinalModel();
TextShow(text);
Goods goods = new Goods();
goods.fname = text;
ResGoods res = mlMulti.Predict(goods);
string name = MultiDbApi.GetStypeName(res.stype);
TextShow("预测结果：" + res.stype + " " + name);
TextShow("概率：" + res.Percent + " 分数：" + res.Score[0] + " " + res.Score[1]);
break;
case (int)MLType.二元分类:
MLbinaryApi mLbinary = new MLbinaryApi();
TextShow("加载二元分类模型");
mLbinary.InitFinalModel();
TextShow(text);
BGoods binarygood = new BGoods();
binarygood.fname = text;
ResBGoods resbinary = mLbinary.Predict(binarygood);
TextShow($"预测: {(Convert.ToBoolean(resbinary.isyuce) ? "杂货类" : "非杂货类")}");
TextShow($"概率: {resbinary.Gailv}|分数:{resbinary.Score}");
break;
}
}
catch (Exception ex)
{
TextShow(ex.Message);
}
}
private void tsmnubinaryinit_Click(object sender, EventArgs e)
{
try
{
List <BGoods> goods = binaryDBApi.GetBinaryData();
TextShow("获取数据成功！共" + goods.Count + "条数据");
var goodycount = goods.FindAll(t => t.isshengxian).ToList();
TextShow("是生鲜的产品有" + goodycount.Count + "个");
MLbinaryApi mLbinary = new MLbinaryApi();
TextShow("开始训练数据");
mLbinary.InitData(goods);
TextShow("训练完成");
_mltype = (int)MLType.二元分类;
}
catch (Exception ex)
{
TextShow(ex.Message);
}
}
