MLPACK

GPTKB entity

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++