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Lectures about machine learning, mathematics, statistics, programming.

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Le module contient essentiellement des digressions mathématiques autour du machine learning. Parmi les choses intéressantes, une courbe ROC avec intervalle de confiance, détection automatique de segment dans une image, un algorithme d’autocomplétion, une distance d’édition entre graphes, des petites choses pour les données de Wikipedia.

The package mostly contains documentation. It also implements some code rarely needed such as ROC curve with bandwidth, automated segment detection in a image, some simple autocomplete algorithm, a graph edit distance, some helpers on Wikipedia data.


current - 2021-01-27 - 0.00Mb

0.0.0 - 2021-01-27 - 0.00Mb

  • 26: Aborder les régressions logistiques sous forme d’arbres (2021-01-23)
  • 30: Fixes #26, implements a compact architecture (2021-01-23)
  • 27: Convertir un arbre de décision en réseaux de neurones et apprendre (2020-08-31)
  • 25: k-means norme L1 (2020-01-13)
  • 23: uses function dtrtri to invert an upper triangular matrix in function linear_regression (2019-07-21)
  • 21: implements streaming linear regression (2019-05-05)
  • 19: removes dependency on line_profiler, not maintained anymore (2019-04-09)
  • 17: move to CI to python 3.7 (2019-04-09)
  • 15: add page on quantile regression + notebook (2019-02-02)
  • 2: [won’t fix] réseaux de neurones, utiliser des notations matricielles (2018-06-17)
  • 13: fix bug: ValueError: label should be list-like and same length as y in ROC.plot (2018-05-17)
  • 12: implements voronoi inference from a logistic regression solved with a linear regression (2018-05-08)
  • 11: logistic regression and voronoi (2018-05-01)
  • 10: add code on segment detection written a while ago (2018-04-18)
  • 9: fix unittest on wikipedia_dump after a change on wikipedia website (2018-04-01)
  • 4: implémentation la complétion en C++ (2016-09-25)
  • 1: ajouter les petits exposés finance… (2016-06-29)

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