ml.shifu.guagua.example.lr
类 LogisticRegressionMaster

java.lang.Object
  ml.shifu.guagua.example.lr.LogisticRegressionMaster

所有已实现的接口：

ml.shifu.guagua.master.MasterComputable<LogisticRegressionParams,LogisticRegressionParams>

public class LogisticRegressionMaster
extends Object
implements ml.shifu.guagua.master.MasterComputable<LogisticRegressionParams,LogisticRegressionParams>

LogisticRegressionMaster defines logic to update global logistic regression model.

At first iteration, master builds a random model then send to all workers to start computing. This is to make all workers use the same model at the starting time.

At other iterations, master works:

• 1. Accumulate all gradients from workers.
• 2. Update global models by using accumulated gradients.
• 3. Send new global model to workers by returning model parameters.

构造方法摘要

LogisticRegressionMaster()

方法摘要

LogisticRegressionParams

compute(ml.shifu.guagua.master.MasterContext<LogisticRegressionParams,LogisticRegressionParams> context)

从类 java.lang.Object 继承的方法

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造方法详细信息

LogisticRegressionMaster

public LogisticRegressionMaster()

方法详细信息

compute

public LogisticRegressionParams compute(ml.shifu.guagua.master.MasterContext<LogisticRegressionParams,LogisticRegressionParams> context)

指定者：

接口 ml.shifu.guagua.master.MasterComputable<LogisticRegressionParams,LogisticRegressionParams> 中的 compute