Model Compression

Home Posts Tagged "Model Compression"
How to reduce the number of features used by your favorite tabular model.
                
    Model Compression
AutoML: How To Reduce Your Model Size by 95% While Improving Model Performance
            We show you how to reduce the number of features used by AWS' AutoGluon tabular models in Python by 95% while improving model performance.
        
        Yves-Laurent Kom Samo, PhD
        
    8 Mar 2022
    ·
    10 min read
    
    Model Compression
Random Forest: How To Reduce Your Production Model Size by 95%
            We show you how to reduce the number of features used by your Random Forest model in Python by 95%, at no performance cost.
        
        Yves-Laurent Kom Samo, PhD
        
    8 Mar 2022
    ·
    7 min read
    
    Model Compression
XGBoost: How To Reduce Your Production Model Size by 95%
            We show you how to reduce the number of features used by your XGBoost model in Python by 95%, at no performance cost.
        
        Yves-Laurent Kom Samo, PhD
        
    7 Mar 2022
    ·
    7 min read
    
    Model Compression
LightGBM: How To Reduce Your Production Model Size by 95%
            We show you how to reduce the number of features used by your LightGBM model in Python by 95%, at no performance cost.
        
        Yves-Laurent Kom Samo, PhD
        
    6 Mar 2022
    ·
    7 min read
    
    Model Compression
How To Seamlessly Compress Any Tabular Model in Python
            Train your favorite predictive models in Python (e.g. LightGBM, XGBoost, Scikit-Learn, Tensorflow, and PyTorch models) using at least 80% fewer features, at no performance cost.
        
        Yves-Laurent Kom Samo, PhD
        
    4 Feb 2022
    ·
    18 min read