AbstractAppMLlibIT (abstr)
Superclass of app-tier MLlib-based batch layer integration tests.
Oryx Architecture Diagrams | documentation produced by SourceSpy

Package com.cloudera.oryx.app.batch.mllib.kmeans

https://github.com/OryxProject/oryx/tree/master/app/oryx-app-mllib/src/main/java/com/cloudera/oryx/app/batch/mllib/kmeans
Contains an app tier implementation of a Batch Layer, for k-means clustering, using Spark MLlib.
Classes
org.dmg.pmml
com.cloudera.oryx.app.pmml
com.cloudera.oryx.common.settings
Package Dependencies
MLUpdate (abstr)
DatumGenerator
A specialization of BatchLayerUpdate for machine learning-orientedupdate processes. This implemen...
Interface which generates one datum. @param < K > key type @param < M > message type
org.slf4j
com.cloudera.oryx.ml.param
com.cloudera.oryx.common.io
com.cloudera.oryx.common.pmml
com.cloudera.oryx.api
com.cloudera.oryx.common.text
com.typesafe.config
org.apache.commons.math3.random
AbstractKMeansEvaluation (abstr)
LjiSerializable;
AbstractKMeansIT (abstr)
ClusterMetric
DaviesBouldinIndex
DunnIndex
KMeansEvalIT
AbstractSparkIT (abstr)
KMeansEvalStrategy (enum)
KMeansHyperParamTuningIT
KMeansUpdate
KMeansUpdateIT
RandomKMeansDataGenerator
SilhouetteCoefficient
SumSquaredError
Superclass of integration tests that need Spark, directly, but not any of the Oryx infrastructure.
Evaluation metrics for k-means clustering.
Update function that builds and evaluates k-means models in the Batch Layer.
com.cloudera.oryx.app.batch.mllib.kmeans
com.cloudera.oryx.app.kmeans
com.cloudera.oryx.app.schema
org.dmg.pmml.clustering
org.apache.spark.mllib.clustering
org.apache.spark.mllib.linalg
EVALUATION_STRATEGYevaluationStrategy