程序包 org.apache.flink.ml.common.optimizer

接口 Optimizer

  • 所有已知实现类:
    SGD
    @Internal
public interface Optimizer
    An optimizer is a function to modify the weight of a machine learning model, which aims to find the optimal parameter configuration for a machine learning model. Examples of optimizers could be stochastic gradient descent (SGD), L-BFGS, etc.

    • 方法概要

      所有方法 实例方法 抽象方法 
      修饰符和类型 方法 说明
      org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.ml.linalg.DenseVector> optimize​(org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.ml.linalg.DenseVector> initModelData, org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.ml.common.feature.LabeledPointWithWeight> trainData, LossFunc lossFunc)
      Optimizes the given loss function using the initial model data and the bounded training data.

    • 方法详细资料

      • optimize

        org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.ml.linalg.DenseVector> optimize​(org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.ml.linalg.DenseVector> initModelData,
                                                                                                      org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.ml.common.feature.LabeledPointWithWeight> trainData,
                                                                                                      LossFunc lossFunc)
        Optimizes the given loss function using the initial model data and the bounded training data.
        参数:
        initModelData - The initial model data.
        trainData - The training data.
        lossFunc - The loss function to optimize.
        返回:
        The fitted model data.