Forecasting with `ahead` (Python version)December 13, 2021 | T. Moudiki Univariate and multivariate time series forecasting with Python package `ahead`. [...Read more...]
Tuning and interpreting LSBoostNovember 15, 2021 | T. Moudiki Hyperparameter tuning and interpretation of LSBoost output. [...Read more...]
Classification using linear regressionSeptember 26, 2021 | T. MoudikiClassification as linear regression of an Indicator Matrix, using nnetsauce. [...Read more...]
Hyperparameters tuning with GPoptJune 11, 2021 | T. MoudikiLSBoostClassifier's hyperparameters tuning (with GPopt) [...Read more...]
A forecasting tool (API) with examples in curl, R, PythonMay 28, 2021 | T. Moudiki A forecasting tool (API) with examples in curl, R, Python [...Read more...]
Bayesian Optimization with GPopt Part 2 (save and resume)April 30, 2021 | T. Moudiki Bayesian Optimization with GPopt Part 2 (save and resume) [...Read more...]
Bayesian Optimization with GPoptApril 16, 2021 | T. Moudiki Bayesian Optimization with GPopt [...Read more...]
Compatibility of nnetsauce and mlsauce with scikit-learnMarch 26, 2021 | T. Moudiki Compatibility of nnetsauce and mlsauce with scikit-learn [...Read more...]
Explaining xgboost predictions with the tellerMarch 12, 2021 | T. Moudiki Explaining xgboost predictions (like R's linear models) with the teller [...Read more...]
An infinity of time series models in nnetsauceMarch 6, 2021 | T. Moudiki An infinity of ML-based time series models in nnetsauce [...Read more...]