Uses of Class
ml.shifu.guagua.example.kmeans.KMeansWorkerParams

Packages that use KMeansWorkerParams

Package	Description
ml.shifu.guagua.example.kmeans	This package contains simple sum KMeans example code.

Uses of KMeansWorkerParams in ml.shifu.guagua.example.kmeans

Methods in ml.shifu.guagua.example.kmeans that return KMeansWorkerParams

Modifier and Type	Method and Description
KMeansWorkerParams	KMeansWorker.doCompute(ml.shifu.guagua.worker.WorkerContext<KMeansMasterParams,KMeansWorkerParams> context) Using the new k centers to tag each record with index denoting the record belongs to which category.

Method parameters in ml.shifu.guagua.example.kmeans with type arguments of type KMeansWorkerParams

Modifier and Type	Method and Description
KMeansMasterParams	KMeansMaster.compute(ml.shifu.guagua.master.MasterContext<KMeansMasterParams,KMeansWorkerParams> context) Master computation by accumulating all the k center points sum values from all workers, then average to get new k center points.
KMeansWorkerParams	KMeansWorker.doCompute(ml.shifu.guagua.worker.WorkerContext<KMeansMasterParams,KMeansWorkerParams> context) Using the new k centers to tag each record with index denoting the record belongs to which category.
void	KMeansWorker.init(ml.shifu.guagua.worker.WorkerContext<KMeansMasterParams,KMeansWorkerParams> context)
void	KMeansWorker.load(GuaguaWritableAdapter<org.apache.hadoop.io.LongWritable> currentKey, GuaguaWritableAdapter<org.apache.hadoop.io.Text> currentValue, ml.shifu.guagua.worker.WorkerContext<KMeansMasterParams,KMeansWorkerParams> workerContext) Loading data into memory.
void	KMeansCentriodsOutput.postApplication(ml.shifu.guagua.master.MasterContext<KMeansMasterParams,KMeansWorkerParams> context)
void	KMeansDataOutput.postApplication(ml.shifu.guagua.worker.WorkerContext<KMeansMasterParams,KMeansWorkerParams> context)
protected void	KMeansWorker.postLoad(ml.shifu.guagua.worker.WorkerContext<KMeansMasterParams,KMeansWorkerParams> context)