Statements (110)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
gptkb:machine_learning |
| gptkbp:created_by |
gptkb:David_Cournapeau
|
| gptkbp:dependency |
gptkb:matplotlib
gptkb:Matplotlib gptkb:Sci_Py gptkb:Num_Py pandas joblib threadpoolctl |
| gptkbp:developed_by |
gptkb:David_Cournapeau
|
| gptkbp:feature |
visualization tools
active community model evaluation tools ensemble methods extensive documentation support for multi-threading support for semi-supervised learning support for time series analysis easy to use API support for various algorithms support for feature engineering cross-validation tools feature selection methods grid search for hyperparameter tuning integration with other libraries pipeline for workflow management support for automated machine learning (Auto ML) support for custom estimators support for data augmentation support for deep learning integration support for explainable AI tools support for feature extraction support for imbalanced datasets support for metrics support for model persistence support for multi-label classification support for outlier detection support for pipelines support for reinforcement learning integration support for sparse data support for transfer learning integration support for transformers |
| gptkbp:first_released |
gptkb:2007
|
| gptkbp:has_documentation |
https://scikit-learn.org/stable/documentation.html
|
| gptkbp:has_feature |
gptkb:Gaussian_Mixture_Models
gptkb:Naive_Bayes gptkb:Documentation gptkb:Linear_Regression gptkb:Support_Vector_Machines gptkb:Decision_Trees gptkb:Logistic_Regression gptkb:Random_Forests gptkb:Pipeline gptkb:neural_networks gptkb:Hyperparameter_Tuning gptkb:Micro_Profile gptkb:community Clustering Dimensionality Reduction Grid Search Time Series Analysis K-Means Clustering Principal Component Analysis Ensemble Methods Model Evaluation Feature Engineering Visualization Tools Cross-validation Feature Selection DBSCAN Gradient Boosting Imputation Model Persistence Agglomerative Clustering Image Feature Extraction Isolation Forests Text Feature Extraction |
| https://www.w3.org/2000/01/rdf-schema#label |
Scikit-learn
|
| gptkbp:is_maintained_by |
gptkb:community
|
| gptkbp:latest_version |
1.1.0
1.2.0 1.3.0 1.0.2 |
| gptkbp:license |
gptkb:BSD_License
|
| gptkbp:platform |
cross-platform
|
| gptkbp:programming_language |
gptkb:Python
|
| gptkbp:release_date |
gptkb:2007
|
| gptkbp:repository |
https://github.com/scikit-learn/scikit-learn
|
| gptkbp:supports |
gptkb:Biology
Supervised Learning Unsupervised Learning Feature Extraction Model Selection model selection Preprocessing preprocessing dimensionality reduction regression clustering |
| gptkbp:used_for |
gptkb:machine_learning
Data Analysis Data Mining data analysis data mining |
| gptkbp:website |
https://scikit-learn.org
|
| gptkbp:written_in |
gptkb:Python
gptkb:Cython |
| gptkbp:bfsParent |
gptkb:machine_learning
|
| gptkbp:bfsLayer |
3
|