Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:machine_learning
|
| gptkbp:community_support |
gptkb:Apache_Spark_Community
|
| gptkbp:developed_by |
gptkb:Apache_Software_Foundation
|
| gptkbp:first_released |
gptkb:2014
|
| gptkbp:has_documentation |
https://spark.apache.org/docs/latest/ml-guide.html
|
| https://www.w3.org/2000/01/rdf-schema#label |
Spark ML
|
| gptkbp:is_compatible_with |
gptkb:Kubernetes
gptkb:Mechagodzilla gptkb:Hadoop |
| gptkbp:language |
gptkb:Java
gptkb:Python gptkb:R gptkb:Scala |
| gptkbp:latest_version |
3.2.0
|
| gptkbp:part_of |
gptkb:Apache_Spark
|
| gptkbp:provides |
gptkb:Graph_X
gptkb:MLlib Data Sets SQL Interface Data Frames Structured Streaming Data Frame API |
| gptkbp:supports |
gptkb:servers
gptkb:Natural_Language_Processing gptkb:Hyperparameter_Tuning Dimensionality Reduction Time Series Analysis Feature Extraction Collaborative Filtering Ensemble Methods Model Evaluation Classification Algorithms Clustering Algorithms Regression Algorithms Feature Transformation Pipeline API Model Persistence Cross Validation |
| gptkbp:tutorials |
https://spark.apache.org/docs/latest/ml-tuning.html
|
| gptkbp:use_case |
gptkb:health_services
Anomaly Detection Fraud Detection Image Classification Predictive Maintenance Recommendation Systems Sentiment Analysis Supply Chain Optimization Customer Segmentation Financial Forecasting Churn Prediction |
| gptkbp:used_in |
gptkb:Data_Science
Big Data Analytics Machine Learning Projects |
| gptkbp:bfsParent |
gptkb:MLlib
|
| gptkbp:bfsLayer |
4
|