程序包 org.apache.flink.ml.clustering.kmeans

类 OnlineKMeansModel

java.lang.Object

org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel

所有已实现的接口:

Serializable, org.apache.flink.ml.api.AlgoOperator<OnlineKMeansModel>, org.apache.flink.ml.api.Model<OnlineKMeansModel>, org.apache.flink.ml.api.Stage<OnlineKMeansModel>, org.apache.flink.ml.api.Transformer<OnlineKMeansModel>, KMeansModelParams<OnlineKMeansModel>, org.apache.flink.ml.common.param.HasDistanceMeasure<OnlineKMeansModel>, org.apache.flink.ml.common.param.HasFeaturesCol<OnlineKMeansModel>, org.apache.flink.ml.common.param.HasPredictionCol<OnlineKMeansModel>, org.apache.flink.ml.param.WithParams<OnlineKMeansModel>

public class OnlineKMeansModel
extends Object
implements org.apache.flink.ml.api.Model<OnlineKMeansModel>, KMeansModelParams<OnlineKMeansModel>

OnlineKMeansModel can be regarded as an advanced KMeansModel operator which can update model data in a streaming format, using the model data provided by OnlineKMeans.

另请参阅:

序列化表格

字段概要

字段

修饰符和类型	字段	说明
static String	MODEL_DATA_VERSION_GAUGE_KEY

从接口继承的字段 org.apache.flink.ml.common.param.HasDistanceMeasure

DISTANCE_MEASURE

从接口继承的字段 org.apache.flink.ml.common.param.HasFeaturesCol

FEATURES_COL

从接口继承的字段 org.apache.flink.ml.common.param.HasPredictionCol

PREDICTION_COL

从接口继承的字段 org.apache.flink.ml.clustering.kmeans.KMeansModelParams

K

构造器概要

构造器

构造器	说明
OnlineKMeansModel()

方法概要

修饰符和类型	方法	说明
org.apache.flink.table.api.Table[]	getModelData()
Map<org.apache.flink.ml.param.Param<?>,Object>	getParamMap()
static OnlineKMeansModel	load(org.apache.flink.table.api.bridge.java.StreamTableEnvironment tEnv, String path)
void	save(String path)	Saves the metadata to the given path.
OnlineKMeansModel	setModelData(org.apache.flink.table.api.Table... inputs)
org.apache.flink.table.api.Table[]	transform(org.apache.flink.table.api.Table... inputs)

从类继承的方法 java.lang.Object

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

从接口继承的方法 org.apache.flink.ml.common.param.HasDistanceMeasure

getDistanceMeasure, setDistanceMeasure

从接口继承的方法 org.apache.flink.ml.common.param.HasFeaturesCol

getFeaturesCol, setFeaturesCol

从接口继承的方法 org.apache.flink.ml.common.param.HasPredictionCol

getPredictionCol, setPredictionCol

从接口继承的方法 org.apache.flink.ml.clustering.kmeans.KMeansModelParams

getK, setK

从接口继承的方法 org.apache.flink.ml.param.WithParams

get, getParam, set

字段详细资料

MODEL_DATA_VERSION_GAUGE_KEY

public static final String MODEL_DATA_VERSION_GAUGE_KEY

另请参阅:

常量字段值

构造器详细资料

OnlineKMeansModel

public OnlineKMeansModel()

方法详细资料

setModelData

public OnlineKMeansModel setModelData(org.apache.flink.table.api.Table... inputs)

指定者:

setModelData 在接口中 org.apache.flink.ml.api.Model<OnlineKMeansModel>

getModelData

public org.apache.flink.table.api.Table[] getModelData()

指定者:

getModelData 在接口中 org.apache.flink.ml.api.Model<OnlineKMeansModel>

transform

public org.apache.flink.table.api.Table[] transform(org.apache.flink.table.api.Table... inputs)

指定者:

transform 在接口中 org.apache.flink.ml.api.AlgoOperator<OnlineKMeansModel>

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<OnlineKMeansModel>

save

public void save(String path)
          throws IOException

Saves the metadata to the given path.

NOTE: the unbounded model data table will not be saved. Model data needs be explicitly exported with getModelData().

指定者:

save 在接口中 org.apache.flink.ml.api.Stage<OnlineKMeansModel>

抛出:

IOException

load

public static OnlineKMeansModel load(org.apache.flink.table.api.bridge.java.StreamTableEnvironment tEnv,
                                     String path)
                              throws IOException

抛出:

IOException