Machinelear's logistic regression classifiers one-vs-all classification

Recently looking at Wunda's machine learning course, which talks about the One-vs-all classification of the logistic regression classifiers, here are some personal summaries:

1. For the multi-classification problem, in fact, it is to draw a number of decision boundary, in the training, in fact, each time just choose a class for training.

2. In the specific implementation, the current training class is 1, the other class is 0, so that the training of each class of decision boundary, and finally all the parameters are the result of the entire training.

Machinelear's logistic regression classifiers one-vs-all classification