Statements (43)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Apache_Spark
|
| gptkbp:community |
Active user community
|
| gptkbp:developed_by |
gptkb:Apache_Software_Foundation
|
| gptkbp:features |
gptkb:performance
Scalability Ease of use Integration with Hadoop Support for streaming data Support for graph processing |
| gptkbp:has_documentation |
https://spark.apache.org/docs/3.2.0/ml-guide.html
|
| https://www.w3.org/2000/01/rdf-schema#label |
Apache Spark MLlib 3.2
|
| gptkbp:is_compatible_with |
gptkb:Apache_Spark_3.2
|
| gptkbp:language |
gptkb:Java
gptkb:Python gptkb:R gptkb:Scala |
| gptkbp:latest_version |
3.2.0
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:predecessor |
Apache Spark MLlib 3.1
|
| gptkbp:provides |
Feature extraction
Model evaluation Algorithms for classification Algorithms for clustering Algorithms for collaborative filtering Algorithms for regression |
| gptkbp:release_date |
2021-12-15
|
| gptkbp:repository |
https://github.com/apache/spark
|
| gptkbp:successor |
Apache Spark MLlib 3.3
|
| gptkbp:supports |
gptkb:machine_learning
|
| gptkbp:use_case |
Data science
Image processing Natural language processing Time series analysis Anomaly detection Predictive analytics Fraud detection Customer segmentation Recommendation systems Big Data analytics |
| gptkbp:uses |
Resilient Distributed Datasets (RDDs)
Data Frames |
| gptkbp:bfsParent |
gptkb:JEP_434
|
| gptkbp:bfsLayer |
6
|