Statements (71)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:software_framework
|
gptkbp:bfsLayer |
5
|
gptkbp:bfsParent |
gptkb:Rcpp_MLPACK
|
gptkbp:developed_by |
Marcus Edel
|
gptkbp:features |
gptkb:Support_vector_machines
Neural networks Linear regression K-means clustering Dimensionality reduction Logistic regression Decision trees |
gptkbp:first_released |
gptkb:2011
|
gptkbp:has_community |
Open-source community
|
gptkbp:has_feature |
Performance metrics
Model selection Parallel processing capabilities Cross-validation Hyperparameter tuning Visualization tools Batch processing capabilities Clustering algorithms Distance metrics Pre-trained models Ensemble methods Scalability options Real-time processing capabilities Integration with cloud services Data preprocessing tools Model evaluation tools Support for large datasets Feature extraction methods Dimensionality reduction techniques Data augmentation techniques Classification algorithms Custom model training options Regression algorithms Streaming data support Transfer learning support |
gptkbp:has_programs |
gptkb:robot
Bioinformatics Finance Image processing Natural language processing Time series analysis Computer vision Anomaly detection Game AI Recommendation systems |
https://www.w3.org/2000/01/rdf-schema#label |
MLPACK
|
gptkbp:integrates_with |
gptkb:Intel_MKL
gptkb:video_game gptkb:fish gptkb:Open_MP |
gptkbp:latest_version |
gptkb:2023
|
gptkbp:license |
gptkb:BSD_License
|
gptkbp:notable_recipients |
Open-source contributors
|
gptkbp:provides |
gptkb:Java_Enhancement_Proposal
gptkb:municipality Extensive documentation C Make support Fast algorithms for machine learning |
gptkbp:supports |
Supervised learning
Reinforcement learning Unsupervised learning Python bindings Julia bindings R bindings |
gptkbp:used_in |
Research projects
Industry applications |
gptkbp:website |
https://www.mlpack.org
|
gptkbp:written_in |
gptkb:C++
|