This project forked from hlstudio/scala-ml
《统计学习方法》的scala版本实现
李航《统计学习方法》的scala版本实现
开发环境：spark-2.3.1
分类方法准确率对比
| Iris | Mnist | Mnist备注 | Iris | Mnist | Mnist备注 | |
|---|---|---|---|---|---|---|
| 多层感知机 | 1.00 | 0.97 | 10Epoch，20分钟 | 0.97 | 0.96/0.98 | 784-300-10，5分钟 |
| KNN分类 | 0.80 | 0.65 | 抽样，快 | |||
| Bayes分类 | 0.43 | OOM | 0.94 | 0.83/0.82 | 快 | |
| 决策树分类 | 0.80 | 0.79 | 抽样，仍慢 | 1.00 | 0.68/0.68 | 快 |
| 逻辑回归 | 0.97 | 0.99 | 均简化二分类 | 1.00/0.98 | 0.92/0.93 | 先交叉验证找超参，慢 |
| SVM | 1.00 | 简化二分类 | 0.93/0.84 | 0.91/0.91 | OneVsRest |
每行前一组为自己实现的算法，后一组为spark自带的算法
双值前面为测试集准确率，后者为训练集准确率
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