Experimaestro and Datamaestro - Archive ouverte HAL
Communication Dans Un Congrès Année : 2020

Experimaestro and Datamaestro

Résumé

Ensuring reproducibility is key to all scientific domains. As Information Retrieval (IR) experiments are often composed of several steps that can be shared between tested models, and rely on various resources, it is difficult to keep track of all the experimental settings and to ensure experiments can be reproduced easily. In this demo paper, we present two managers, Experimaestro and Datamaestro, and their add-ons for IR, designed to help to define and run experimental plans. KEYWORDS Experiment manager, dataset manager ACM Reference Format: Benjamin Piwowarski. 2020. Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR). In
Fichier principal
Vignette du fichier
Piwowarski_2020_Experimaestro and Datamaestro.pdf (466.85 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02989011 , version 1 (05-11-2020)

Identifiants

Citer

Benjamin Piwowarski. Experimaestro and Datamaestro. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Jul 2020, Virtual Event China, China. pp.2173-2176, ⟨10.1145/3397271.3401410⟩. ⟨hal-02989011⟩
58 Consultations
290 Téléchargements

Altmetric

Partager

More