类 OnlineLogisticRegression
- java.lang.Object
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- org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegression
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- 所有已实现的接口:
Serializable,org.apache.flink.ml.api.Estimator<OnlineLogisticRegression,OnlineLogisticRegressionModel>,org.apache.flink.ml.api.Stage<OnlineLogisticRegression>,OnlineLogisticRegressionModelParams<OnlineLogisticRegression>,OnlineLogisticRegressionParams<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasBatchStrategy<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasElasticNet<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasFeaturesCol<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasGlobalBatchSize<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasLabelCol<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasPredictionCol<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasRawPredictionCol<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasReg<OnlineLogisticRegression>,org.apache.flink.ml.common.param.HasWeightCol<OnlineLogisticRegression>,org.apache.flink.ml.param.WithParams<OnlineLogisticRegression>
public class OnlineLogisticRegression extends Object implements org.apache.flink.ml.api.Estimator<OnlineLogisticRegression,OnlineLogisticRegressionModel>, OnlineLogisticRegressionParams<OnlineLogisticRegression>
An Estimator which implements the online logistic regression algorithm. The online optimizer of this algorithm is The FTRL-Proximal proposed by H.Brendan McMahan et al.See H. Brendan McMahan et al., Ad click prediction: a view from the trenches.
- 另请参阅:
- 序列化表格
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字段概要
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从接口继承的字段 org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModelParams
MODEL_VERSION_COL
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从接口继承的字段 org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
ALPHA, BETA
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构造器概要
构造器 构造器 说明 OnlineLogisticRegression()
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方法概要
所有方法 静态方法 实例方法 具体方法 修饰符和类型 方法 说明 OnlineLogisticRegressionModelfit(org.apache.flink.table.api.Table... inputs)Map<org.apache.flink.ml.param.Param<?>,Object>getParamMap()static OnlineLogisticRegressionload(org.apache.flink.table.api.bridge.java.StreamTableEnvironment tEnv, String path)voidsave(String path)OnlineLogisticRegressionsetInitialModelData(org.apache.flink.table.api.Table initModelDataTable)Sets the initial model data of the online training process with the provided model data table.-
从类继承的方法 java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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从接口继承的方法 org.apache.flink.ml.common.param.HasRawPredictionCol
getRawPredictionCol, setRawPredictionCol
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从接口继承的方法 org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModelParams
getModelVersionCol, setModelVersionCol
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从接口继承的方法 org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
getAlpha, getBeta, setAlpha, setBeta
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方法详细资料
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fit
public OnlineLogisticRegressionModel fit(org.apache.flink.table.api.Table... inputs)
- 指定者:
fit在接口中org.apache.flink.ml.api.Estimator<OnlineLogisticRegression,OnlineLogisticRegressionModel>
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save
public void save(String path) throws IOException
- 指定者:
save在接口中org.apache.flink.ml.api.Stage<OnlineLogisticRegression>- 抛出:
IOException
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load
public static OnlineLogisticRegression load(org.apache.flink.table.api.bridge.java.StreamTableEnvironment tEnv, String path) throws IOException
- 抛出:
IOException
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getParamMap
public Map<org.apache.flink.ml.param.Param<?>,Object> getParamMap()
- 指定者:
getParamMap在接口中org.apache.flink.ml.param.WithParams<OnlineLogisticRegression>
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setInitialModelData
public OnlineLogisticRegression setInitialModelData(org.apache.flink.table.api.Table initModelDataTable)
Sets the initial model data of the online training process with the provided model data table.
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