ARM首版基于CMSIS-DSP的单片机机器学习库教程发布（2020-04-16）

eric2013

Implement classical ML with Arm CMSIS-DSP libraries.pdf (1.38MB)

eric2013

官网地址：
https://developer.arm.com/soluti ... cmsis-dsp-libraries

wdliming

每日比来硬汉论坛。。。。不来就心里空荡荡

ronic

请教一下下面这段什么意思？表示目前SVM只能分类只能分成两类吗？要分辨10个数字，为什么需要45组？

An SVM classifier is a binary classifier. If you want to work with more classes, you need to
create classifiers for each distinct pair of classes, and use a majority voting on the results to
select the final class.
For instance, in the following example from scikit-learn, SVM is used to recognize digits. With
ten digits, there are 45 pairs. This means that there are 45 SVM classifiers. Scikit-learn creates
them automatically using the strategy one-vs-one: each classed is compared with every other
class.

eric2013

ronic 发表于 2020-4-17 11:05
请教一下下面这段什么意思？表示目前SVM只能分类只能分成两类吗？要分辨10个数字，为什么需要45组？

An  ...

这个要上ARM官网社区咨询，我还没顾上看。

hexenzhou

ronic 发表于 2020-4-17 11:05
请教一下下面这段什么意思？表示目前SVM只能分类只能分成两类吗？要分辨10个数字，为什么需要45组？

An  ...

svm就是个二分类器，识别多类的方法就是用二分类器的级联来达到目的。

ronic

1.4.1.1. Multi-class classification
SVC and NuSVC implement the “one-against-one” approach (Knerr et al., 1990) for multi- class classification. If n_class is the number of classes, then n_class * (n_class - 1) / 2 classifiers are constructed and each one trains data from two classes. To provide a consistent interface with other classifiers, the decision_function_shape option allows to monotically transform the results of the “one-against-one” classifiers to a decision function of shape (n_samples, n_classes).
找到原因了。9x10/2 = 45