hub / github.com/Waikato/moa

github.com/Waikato/moa @2024.07.0

repository ↗ · DeepWiki ↗ · release 2024.07.0 ↗ · + Follow

9,911 symbols 31,655 edges 940 files 2,746 documented · 28% ● updated 6mo ago2024.07.0 · 2024-07-18★ 66019 open issues

What it actually does AI analysis from the code graph — generated when you open this

loading…

README

MOA (Massive Online Analysis)

MOA

MOA is the most popular open source framework for data stream mining, with a very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems.

http://moa.cms.waikato.ac.nz/

Using MOA

MOA performs BIG DATA stream mining in real time, and large scale machine learning. MOA can be extended with new mining algorithms, and new stream generators or evaluation measures. The goal is to provide a benchmark suite for the stream mining community.

Mailing lists

MOA users: http://groups.google.com/group/moa-users
MOA developers: http://groups.google.com/group/moa-development

Citing MOA

If you want to refer to MOA in a publication, please cite the following JMLR paper:

Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010); MOA: Massive Online Analysis; Journal of Machine Learning Research 11: 1601-1604

Extension points exported contracts — how you extend this code

PromotionFunction (Interface)

An object that chooses a pair from a set of data objects. @param The type of the data objects. [8 implementers]

moa/src/main/java/moa/clusterers/outliers/utils/mtree/PromotionFunction.java

PartitionFunction (Interface)

An object with partitions a set of data into two sub-sets. @param The type of the data on the sets. [8 implementers]

moa/src/main/java/moa/clusterers/outliers/utils/mtree/PartitionFunction.java

EuclideanCoordinate (Interface)

An interface to represent coordinates in Euclidean spaces. @see " [14 implementers]

moa/src/main/java/moa/clusterers/outliers/utils/mtree/DistanceFunctions.java

SplitFunction (Interface)

Defines an object to be used to split a node in an M-Tree. A node must be split when it has reached its maximum capacity [8 …

moa/src/main/java/moa/clusterers/outliers/utils/mtree/SplitFunction.java

Regressor (Interface)

Regressor interface for incremental regression models. It is used only in the GUI Regression Tab. @author Richard Kirkb [15 …

moa/src/main/java/moa/classifiers/Regressor.java

Core symbols most depended-on inside this repo

get

called by 1866

moa/src/main/java/moa/clusterers/outliers/utils/mtree/DistanceFunctions.java

getValue

called by 1627

moa/src/main/java/moa/clusterers/meta/IParameter.java

add

called by 1577

moa/src/main/java/moa/evaluation/BasicClassificationPerformanceEvaluator.java

size

called by 1065

moa/src/main/java/com/yahoo/labs/samoa/instances/Prediction.java

println

called by 471

moa/src/main/java/moa/clusterers/outliers/MyBaseOutlierDetector.java

addSource

called by 359

moa/src/main/java/moa/tasks/ipynb/NotebookCellBuilder.java

value

called by 347

moa/src/main/java/com/yahoo/labs/samoa/instances/Instance.java

setValue

called by 338

moa/src/main/java/com/yahoo/labs/samoa/instances/Instance.java

Shape

Method 8,668

Class 1,120

Interface 110

Enum 13

Languages

Java100%

Modules by API surface

moa/src/main/java/moa/classifiers/trees/iadem/Iadem2.java142 symbols

moa/src/main/java/moa/classifiers/trees/EFDT.java108 symbols

moa/src/main/java/moa/clusterers/outliers/utils/mtree/MTree.java105 symbols

moa/src/main/java/moa/classifiers/multilabel/trees/ISOUPTree.java95 symbols

moa/src/main/java/moa/classifiers/trees/iadem/Iadem3.java86 symbols

moa/src/main/java/moa/classifiers/trees/HoeffdingTree.java81 symbols

moa/src/main/java/moa/classifiers/trees/HoeffdingOptionTree.java80 symbols

moa/src/main/java/moa/classifiers/trees/SelfOptimisingBaseTree.java78 symbols

moa/src/main/java/moa/classifiers/trees/FIMTDD.java77 symbols

moa/src/main/java/moa/classifiers/trees/ARFFIMTDD.java76 symbols

moa/src/main/java/moa/clusterers/outliers/MyBaseOutlierDetector.java64 symbols

moa/src/main/java/moa/core/Utils.java56 symbols

For agents

$ claude mcp add moa \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact