Elliot
v0.3.0
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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
Adversarial Learning
Algebric
Autoencoders
Content-Based
Generative Adversarial Networks (GANs)
Graph-based
Knowledge-aware
Latent Factor Models
Artificial Neural Networks
Neighborhood-based Models
Unpersonalized Recommenders
Visual Models
EXTENDING ELLIOT
Loaders
Recommendation Models
Adversarial Learning
Algebric
Autoencoders
Content-Based
Generative Adversarial Networks (GANs)
Graph-based
Knowledge-aware
Latent Factor Models
Artificial Neural Networks
Neighborhood-based Models
Unpersonalized Recommenders
Visual Models
EVALUATION
Metrics
Metrics Summary
Proxy Model
API REFERENCE
elliot package
elliot.dataset package
elliot.evaluation package
elliot.namespace package
elliot.hyperoptimization package
elliot.prefiltering package
elliot.recommender package
elliot.result_handler package
elliot.splitter package
elliot.utils package
Elliot
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Recommendation Models
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Recommendation Models
¶
Adversarial Learning
Algebric
Autoencoders
Content-Based
Generative Adversarial Networks (GANs)
Graph-based
Knowledge-aware
Latent Factor Models
Artificial Neural Networks
Neighborhood-based Models
Unpersonalized Recommenders
Visual Models
Read the Docs
v: v0.3.0
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