Abstract We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stochastic gradient descent steps and projection steps. We prove tha…
接上篇. Net和Propagation具备后,我们就可以训练了.训练师要做的事情就是,怎么把一大批样本分成小批训练,然后把小批的结果合并成完整的结果(批量/增量):什么时候调用学习师根据训练的结果进行学习,然后改进网络的权重和状态:什么时候决定训练结束. 那么这两位老师儿长的什么样子,又是怎么做到的呢? public interface Trainer { public void train(Net net,DataProvider provider); } public interface…
/** * :: DeveloperApi :: * GeneralizedLinearModel (GLM) represents a model trained using * GeneralizedLinearAlgorithm. GLMs consist of a weight vector and * an intercept. * * @param weights Weights computed for every feature. * @param intercept Inter…
GeneralizedLinearAlgorithm SparkMllib涉及到的算法 Classification Linear Support Vector Machines (SVMs) Logistic regression Regression Linear least squares, Lasso, and ridge regression Streaming linear regression GeneralizedLinearAlgorithm GLA,通用线性算法,作为通用回归…
