I have a SVM model trained in MATLAB (using 6 features) for which I have:
These above are all data that I am able to load in python.
Now I would like to use this model in python without retraining to perform classification in python. In particular I would like to create a SVM model in python from the support vector generated in MATLAB
Is it possible? How? Any help would be very appreciated! I can't retrain it in python because I don't have the training data (and labels) anymore.
我想您了解SVM的工作原理,所以我要做的是再次在python上仅在找到的支持向量上训练模型,而不是在所有原始训练数据上训练,结果应该保持不变(就像您对SVM进行了训练一样)完整数据),因为支持向量是数据中位于边界上的“有趣”向量。
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