cuML
E890458
cuML is a GPU-accelerated machine learning library in the NVIDIA RAPIDS ecosystem that provides scalable, high-performance implementations of common ML algorithms.
All labels observed (1)
| Label | Occurrences |
|---|---|
| cuML canonical | 1 |
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
GPU-accelerated library
ⓘ
machine learning library ⓘ open-source software ⓘ |
| aimsTo | provide scalable high-performance ML on GPUs ⓘ |
| belongsTo | data science and analytics domain ⓘ |
| compatibleWith | scikit-learn ecosystem ⓘ |
| developer | NVIDIA NERFINISHED ⓘ |
| documentation | https://docs.rapids.ai/api/cuml/stable/ ⓘ |
| feature |
GPU-accelerated estimators
ⓘ
distributed training ⓘ multi-GPU support via Dask ⓘ scikit-learn-like API ⓘ |
| implements | machine learning algorithms ⓘ |
| integratesWith |
Dask
NERFINISHED
ⓘ
RAPIDS cuGraph NERFINISHED ⓘ cuDF NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| optimizedFor | GPU ⓘ |
| partOf |
NVIDIA RAPIDS ecosystem
NERFINISHED
ⓘ
RAPIDS NERFINISHED ⓘ |
| programmingLanguage |
C++
ⓘ
CUDA NERFINISHED ⓘ Python ⓘ |
| repository | https://github.com/rapidsai/cuml ⓘ |
| requires | NVIDIA CUDA-capable GPU ⓘ |
| supportsAlgorithm |
ARIMA
ⓘ
DBSCAN NERFINISHED ⓘ Naive Bayes NERFINISHED ⓘ PCA NERFINISHED ⓘ SVM-like methods (experimental in some releases) ⓘ UMAP NERFINISHED ⓘ k-means clustering ⓘ k-nearest neighbors NERFINISHED ⓘ linear regression ⓘ logistic regression ⓘ random forest ⓘ t-SNE NERFINISHED ⓘ |
| supportsDataFormat |
NumPy arrays (via host-device transfer)
ⓘ
cuDF DataFrame NERFINISHED ⓘ |
| supportsLanguageBinding |
C++
NERFINISHED
ⓘ
Python NERFINISHED ⓘ |
| supportsPlatform | Linux ⓘ |
| useCase |
classification
ⓘ
clustering ⓘ dimensionality reduction ⓘ regression ⓘ tabular data machine learning ⓘ |
| usesFramework |
CUDA
NERFINISHED
ⓘ
RAFT NERFINISHED ⓘ cuBLAS NERFINISHED ⓘ cuSolver NERFINISHED ⓘ |
| usesHardwareAcceleration | NVIDIA GPU NERFINISHED ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.