News from ESGtoolkit, ycinterextra, and nnetsauceApril 4, 2022 | T. Moudiki News from R packages ESGtoolkit, ycinterextra, and Python/R package nnetsauce [...Read more...]
Explaining a Keras _neural_ network predictions with the-tellerMarch 11, 2022 | T. Moudiki Explaining a Keras _neural_ network predictions using scikeras, AutoKeras and the teller on tabular data [...Read more...]
New version of nnetsauce — various quasi-randomized networksFebruary 12, 2022 | T. Moudiki New version of nnetsauce, a package implementing various quasi-randomized networks [...Read more...]
A dashboard illustrating bivariate time series forecasting with `ahead`January 14, 2022 | T. Moudiki A Shiny application illustrating multivariate forecasting with ahead::ridge2f (in R) and ahead.Ridge2Regressor (in Python) [...Read more...]
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...]