Apache Spark MLlib
ENT-00002121 · Infrastructure IA

Apache Spark MLlib

Apache Spark MLlib is a AI infrastructure platform associated with Apache Software Foundation, classified in LXKeys.world as AI Infrastructure / Platform.

Niveau V PersistantActifDocumenté
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Vue d’ensemble

Apache Spark MLlib is an AI infrastructure or development system associated with Apache Software Foundation. It is documented as machine learning library for Apache Spark.

Chronologie

  1. 2014Initial public availability

    Apache Spark MLlib entered the documented public record in 2014. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

AI development infrastructureFramework or tooling documentationDeveloper workflow supportPublic source anchoringRelationship graph compatibility

Limites connues

Capabilities depend on software version, installation context and supported integrations.Project scope can change through releases and community development.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for Apache Spark MLlib. Entity type: AI Infrastructure; classification: AI Infrastructure / Platform; creator/organization context: Apache Software Foundation. Canonical source anchor: https://spark.apache.org/mllib/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

AI InfrastructureFrameworkMachine Learning
Graphe relationnel

Apache Spark MLlib

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Apache Spark MLlib
Organisation associéeSortante
Apache Software Foundation

Apache Software Foundation is the organization or institutional context associated with Apache Spark MLlib.

ClassificationSortante
Framework / Tooling System

Apache Spark MLlib is classified as Framework / Tooling System.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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