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  1. Modeling customers decisions in Python with the Choice-Learn …

    Oct 7, 2024 · Choice modeling is a powerful tool for predicting how individuals make decisions when presented with multiple alternatives. It enables businesses to understand customer …

  2. GitHub - artefactory/choice-learn: Discrete choice modeling in Python

    Large-scale choice modeling through the lens of machine learning. Choice-Learn is a Python package designed to help you formulate, estimate, and deploy discrete choice models, e.g., …

  3. Introductive Example - Choice-Learn

    Choice-Learn is a Python package designed to help building discrete choice models. In particular you will find: Estimation options such as choosing the method (LBFGS, Gradient Descent, …

  4. choicedesign - PyPI

    Mar 7, 2024 · ChoiceDesign is a Python package tool to construct D-efficient designs for Discrete Choice Experiments. ChoiceDesign combines enough flexibility to construct from simple 2 …

  5. choice-learn - PyPI

    Nov 30, 2024 · Large-scale choice modeling through the lens of machine learning. Choice-Learn is a Python package designed to help you formulate, estimate, and deploy discrete choice …

  6. UDST/choicemodels: Python library for discrete choice modeling - GitHub

    ChoiceModels is a Python library for discrete choice modeling, with utilities for sampling, simulation, and other ancillary tasks. It's part of the Urban Data Science Toolkit (UDST).

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  7. GitHub - ighdez/choicedesign: Experimental designs for discrete choice

    ChoiceDesign is a Python package tool to construct D-efficient designs for Discrete Choice Experiments. ChoiceDesign combines enough flexibility to construct from simple 2-alternative …

  8. Discrete Choice and Random Utility Models — PyMC example

    In this example, we’ll examine the technique of discrete choice modelling using a (i) heating system data set from the R mlogit package and (ii) repeat choice data set over cracker brands. …

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  9. Assortment Optimization with discrete choice models in Python

    Choice modeling is an efficient way to approach assortment optimization because it provides a data-driven framework for understanding customer preferences and predicting how they will …

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  10. Getting started — ChoiceModels 0.2.2 documentation

    ChoiceModels is a Python library for discrete choice modeling, with utilities for sampling, simulation, and other ancillary tasks. It’s part of the Urban Data Science Toolkit (UDST).

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    • Design Choice

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