Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
AutoML tool |
| gptkbp:developer |
gptkb:MLJAR
|
| gptkbp:feature |
command line interface
support for Linux support for Windows support for macOS parallel computation automatic model selection HTML reports no-code interface model ensembling automatic feature engineering automatic hyperparameter tuning automatic preprocessing support for cross-validation support for model export model explanations support for categorical features support for missing values custom metric support model stacking random seed for reproducibility support for CatBoost support for Decision Trees support for Extra Trees support for Google Colab support for Jupyter Notebook integration support for LightGBM support for Linear Regression support for Logistic Regression support for Neural Networks support for Random Forest support for Ridge Regression support for SHAP explanations support for XGBoost support for blending models support for ensemble models support for feature importance support for k-Nearest Neighbors support for learning curves support for model comparison support for model interpretability support for model loading support for model saving support for numerical features support for out-of-fold predictions support for permutation importance support for prediction API support for scikit-learn models support for stacking models support for train/test split support for validation curves time limit for training |
| https://www.w3.org/2000/01/rdf-schema#label |
mljar-supervised
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:memiliki_tugas |
gptkb:dictionary
binary classification regression multiclass classification explainability |
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:repository |
https://github.com/mljar/mljar-supervised
|
| gptkbp:bfsParent |
gptkb:MLJAR
|
| gptkbp:bfsLayer |
7
|