Properties (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Company
|
| gptkbp:application |
Big Data Analysis
Data_Science Machine_Learning_Workflows |
| gptkbp:archives |
GitHub
|
| gptkbp:community |
Open Source Community
Data_Science_Community Machine_Learning_Community |
| gptkbp:dependency |
gptkb:Dask
gptkb:LightGBM gptkb:PyTorch gptkb:Pandas TensorFlow Scikit-learn NumPy XGBoost Joblib |
| gptkbp:developedBy |
gptkb:Dask_Community
|
| gptkbp:features |
Model Selection
Distributed Algorithms Out-of-core Computation Pipeline Support Hyperparameter_Tuning |
| gptkbp:goal |
Enhance Performance of ML Models
Facilitate Collaboration in ML Projects Make Machine Learning Scalable Simplify Distributed Computing Support Large Datasets |
| gptkbp:hasVersion |
1.0.0
|
| gptkbp:historicalSignificance |
Read the Docs
|
| https://www.w3.org/2000/01/rdf-schema#label |
Dask-ML
|
| gptkbp:integratesWith |
gptkb:Dask
|
| gptkbp:language |
Python
|
| gptkbp:license |
BSD License
|
| gptkbp:provides |
Scalable Machine Learning
|
| gptkbp:relatedPatent |
gptkb:Recommendation_Systems
Anomaly Detection Image Classification Natural Language Processing Time_Series_Analysis |
| gptkbp:releaseDate |
2019
|
| gptkbp:resources |
Getting Started Guide
Deployment Guide Performance Tuning Guide Advanced Features Guide Integration with Dask Guide |
| gptkbp:supports |
Parallel_Computing
|
| gptkbp:uses |
gptkb:Pandas
Scikit-learn NumPy |