Skip to main content
Ctrl+K
📣 Help shape the future of skore and the scikit-learn ecosystem by taking our survey!
skore - Home skore - Home
  • Install
  • User guide
  • Examples
  • API
  • Contributing
    • Probabl
  • GitHub
  • Discord
  • YouTube
  • Install
  • User guide
  • Examples
  • API
  • Contributing
  • Probabl
  • GitHub
  • Discord
  • YouTube

Section Navigation

  • Getting started
    • Skore: getting started
  • End-to-end data science use cases
    • EstimatorReport: Inspecting your models with the feature importance
    • Simplified and structured experiment reporting
  • Model evaluation
    • EstimatorReport: Get insights from any scikit-learn estimator
    • train_test_split: get diagnostics when splitting your data
  • Technical details
    • Cache mechanism
    • Hub skore Project
    • Local skore Project
    • MLflow skore Project
    • The skore API
    • Using skore with scikit-learn compatible estimators
  • Examples
  • Technical details

Technical details#

These examples show some technical details at the core of skore to better understand some of the mechanics under the hood.

Cache mechanism

Cache mechanism

Hub skore Project

Hub skore Project

Local skore Project

Local skore Project

MLflow skore Project

MLflow skore Project

The skore API

The skore API

Using skore with scikit-learn compatible estimators

Using skore with scikit-learn compatible estimators

previous

train_test_split: get diagnostics when splitting your data

next

Cache mechanism

This Page

  • Show Source

© Copyright 2026, Probabl.

Created using Sphinx 8.1.3.

Built with the PyData Sphinx Theme 0.16.1.