#techtonique — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #techtonique, aggregated by home.social.
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GPopt for Machine Learning (hyperparameters' tuning)
https://thierrymoudiki.github.io/blog/2026/01/21/python/GPopt-for-ML -
Context-aware Theta forecasting Method: Extending Classical Time Series Forecasting with Machine Learning
https://thierrymoudiki.github.io/blog/2025/11/13/r/context-aware-theta -
Explainable 'AI' using Gradient Boosted randomized networks Pt2 (the Lasso)
https://thierrymoudiki.github.io/blog/2020/07/31/python/r/lsboost/explainableml/mlsauce/xai-boosting-2 -
(News from) forecasting in Python with ahead (progress bars and plots)
https://thierrymoudiki.github.io/blog/2023/09/18/python/forecasting/ahead-python-progress-plots -
mlsauce version 0.8.10: Statistical/Machine Learning with Python and R
https://thierrymoudiki.github.io/blog/2023/11/05/python/r/adaopt/lsboost/mlsauce_classification -
A plethora of datasets at your fingertips Part2: how many times do couples cheat on each other? Descriptive analytics, interpretability and prediction intervals using conformal prediction
https://thierrymoudiki.github.io/blog/2023/12/25/python/r/misc/mlsauce/runiverse-api2 -
learningmachine v2.0.0: Machine Learning with explanations and uncertainty quantification
https://thierrymoudiki.github.io/blog/2024/07/08/r/learningmachine-docs -
A Guide to Using techtonique.net's API and rush for simulating and plotting Stochastic Scenarios
https://thierrymoudiki.github.io/blog/2025/05/30/r/python/techtonique/esgtoolkit-techtonique-api-rush -
Beyond Nelson-Siegel and splines: A model-agnostic Machine Learning framework for discount curve calibration, interpolation and extrapolation
https://thierrymoudiki.github.io/blog/2025/06/07/r/python/beyond-nelson-siegel -
Predictive scenarios simulation in R, Python and Excel using Techtonique API
https://thierrymoudiki.github.io/blog/2024/11/03/python/r/techtonique/scenario-simulations-techtonique -
AutoML in nnetsauce (randomized and quasi-randomized nnetworks) Pt.2: multivariate time series forecasting
https://thierrymoudiki.github.io/blog/2023/10/29/python/quasirandomizednn/MTS-LazyPredict -
Conformalize (improved prediction intervals and simulations) any R Machine Learning model with misc::conformalize
https://thierrymoudiki.github.io/blog/2025/03/25/r/conformalize-R -
Beyond ARMA-GARCH: leveraging any statistical model for volatility forecasting
https://thierrymoudiki.github.io/blog/2025/06/21/r/python/beyond-garch-statistical -
Combining any model with GARCH(1,1) for probabilistic stock forecasting
https://thierrymoudiki.github.io/blog/2025/09/23/r/ANYMODEL-plus-GARCH -
Bayesian Optimization with GPopt Part 2 (save and resume)
https://thierrymoudiki.github.io/blog/2021/04/30/python/misc/gpopt -
A Guide to Using techtonique.net's API and rush for simulating and plotting Stochastic Scenarios
https://thierrymoudiki.github.io/blog/2025/05/30/r/python/techtonique/esgtoolkit-techtonique-api-rush -
Conformalized adaptive (online/streaming) learning using learningmachine in Python and R
https://thierrymoudiki.github.io/blog/2024/08/19/r/python/code-conformal-adaptive-RVFL -
Simulation of dependent variables in ESGtoolkit
https://thierrymoudiki.github.io/blog/2020/10/09/r/esgtoolkit-new -
Diffusion models in ESGtoolkit + announcements
https://thierrymoudiki.github.io/blog/2023/10/02/r/esgtoolkit-v062 -
Extending the Theta forecasting method to GLMs and attention
https://thierrymoudiki.github.io/blog/2025/04/08/r/python/glm-thetaf -
Calling =TECHTO_MLREGRESSION for Machine Learning supervised regression in Excel is just a matter of copying and pasting
https://thierrymoudiki.github.io/blog/2025/07/06/r/python/techto-ml -
'Zero-Shot Probabilistic Stock Returns Forecasting with Pretrained RVFL Networks' accepted at COPA 2026 (and to appear in the Proceedings of Machine Learning Research)
https://thierrymoudiki.github.io/blog/2026/08/15/r/metalearned-ridge2f
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R package development workflow (assuming you're using macOS or Linux)
https://thierrymoudiki.github.io/blog/2024/08/27/r/makefile-r-pkg -
ESGtoolkit, a tool for Monte Carlo simulation (v0.2.0)
https://thierrymoudiki.github.io/blog/2020/01/17/r/esgtoolkit-1