因此，要运行Mahout的分类器，您首先需要训练模式，然后再使用该模式对新内容进行分类。
Thus, to run Mahout's classifier, you need to first train the model and then use that model to classify new content.
模式识别问题不仅与表示方法有关，也跟用于在分类器设计各个阶段进行训练和测试的用例集有关。
A pattern recognition problem is not only specified by a representation, but also by the set of examples given for training and evaluating a classifier in various stages.
前向网络在用于模式分类时，其网络的有效训练一直是一个受到关注的问题。
It has payed great attention to effective training of feedforward neural networks when they are used for pattern classification.
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