Choice-Learn
Explanations
Initializing search
Choice-Learn
HomePage
Tutorials
Tutorials
Introduction
Introductive Example
Intoduction to data handling
Introduction to choice modelling with the Conditional Logit
Introduction to model customization
How-To Guides
How-To Guides
Introduction
Data Handling
Data Handling
Intoduction to data handling
Exhaustive example of ChoiceDataset creation
Optimize RAM usage with Features Storage, in-depth examples
Basket Data Handling
Modeling Single Choices
Modeling Single Choices
Introduction to Choice Models - the MNL model
Conditional Logit Usage
Nested Logit Usage
Building a custom choice model and handling hyper-parameters
RUMnet model Usage
Latent Class MNLs Usage
Latent Class MNL, another example
A reproductive example, the logistic regression
Model Finetuning and general hyperparamters
TasteNet model Usage
HaloMNL model Usage
Learning MNL model Usage
ResLogit model Usage
Modeling Basket of purchases
Modeling Basket of purchases
Introduction data handling, the TripDataset
Shopper model Usage
AleaCarta model Usage
Various tutorials
Various tutorials
Example of early stopping callback
Example of ReduceLROnPlateau callback
Example of Customizing callbacks
Toolbox for choice modellers
Toolbox for choice modellers
Optimizing a product assortment
References
References
Data
Data
ChoiceDataset
ChoiceDataset Indexer
Features Storage
Available Open-Source Datasets
Available Open-Source Datasets
Base Datasets
TaFeng Dataset
ICDM Expedia Dataset
Bakery Dataset
Badminton Dataset
Choice Models
Choice Models
Base Model
Baseline Models
MultiNomialLogit Model
Conditional Logit
Nested Logit
Latent Class BaseModel
Latent Class MNL
RUMnet
TasteNet
Learning MNL
ResLogit
HaloMNL
Basket Models
Basket Models
Trip and TripDataset
Permutation
Shopper
The AleaCarta model
Basic Attention model
Self Attention model
Toolbox
Toolbox
Assortment Optimizer and Pricing
Utils
Utils
Tensorflow Operations
Metrics
Explanations
Explanations
