Elliot
latest

GET STARTED

  • Introduction
  • Install Elliot
  • Quick Start
  • Release Notes

RUNNING EXPERIMENTS

  • Configuration file
  • Data Preparation

ALGORITHMS

  • Summary of the Recommendation Algorithms
  • Hyperparameter Optimization
  • Early Stopping
  • Create a new Recommendation Model
  • Recommendation Models

EXTENDING ELLIOT

  • Loaders
  • Recommendation Models

EVALUATION

  • Metrics
  • Metrics Summary
  • Evaluation of recommendation files

API REFERENCE

  • elliot package
  • elliot.dataset package
  • elliot.evaluation package
  • elliot.namespace package
  • elliot.hyperoptimization package
  • elliot.prefiltering package
  • elliot.recommender package
    • Subpackages
      • elliot.recommender.knn package
      • elliot.recommender.adversarial package
      • elliot.recommender.algebric package
      • elliot.recommender.autoencoders package
      • elliot.recommender.content_based package
      • elliot.recommender.gan package
      • elliot.recommender.graph_based package
      • elliot.recommender.knowledge_aware package
      • elliot.recommender.latent_factor_models package
      • elliot.recommender.neural package
      • elliot.recommender.unpersonalized package
        • Subpackages
        • Module contents
      • elliot.recommender.visual_recommenders package
    • Submodules
    • elliot.recommender.base_recommender_model module
    • elliot.recommender.recommender_utils_mixin module
    • Module contents
  • elliot.result_handler package
  • elliot.splitter package
  • elliot.utils package
Elliot
  • »
  • elliot package »
  • elliot.recommender package »
  • elliot.recommender.unpersonalized package »
  • elliot.recommender.unpersonalized.most_popular package
  • Edit on GitHub

elliot.recommender.unpersonalized.most_popular package¶

Submodules¶

elliot.recommender.unpersonalized.most_popular.most_popular module¶

class elliot.recommender.unpersonalized.most_popular.most_popular.MostPop(data, config, params, *args, **kwargs)[source]¶

Bases: elliot.recommender.recommender_utils_mixin.RecMixin, elliot.recommender.base_recommender_model.BaseRecommenderModel

get_recommendations(top_k: int = 100)[source]¶
get_single_recommendation(mask, k, *args)[source]¶
property name¶
train()[source]¶

Module contents¶

Next Previous

© Copyright 2021, Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Tommaso Di Noia. Revision 85bd3201.

Built with Sphinx using a theme provided by Read the Docs.