Topic: choice-modeling Goto Github
Some thing interesting about choice-modeling
Some thing interesting about choice-modeling
choice-modeling,Binary logit based on the Mobility and Transport Microcensus 2015 explaining the "choice" of working - at least from time to time - from home in Switzerland.
User: antonindanalet
Home Page: http://strc.ch/2021/Danalet_EtAl_2.pdf
choice-modeling,Large-scale choice modeling in Python !
Organization: artefactory
Home Page: https://artefactory.github.io/choice-learn
choice-modeling,A Collection of Utility Functions for Choice Modeling and Statistical Analysis
User: edsandorf
choice-modeling,Advanced choice modeling with multidimensional utility representations.
User: kiudee
choice-modeling,The model that has been uploaded to this repository aspires to describe routing behavior of micro-mobility modes, e.g., e-bikes and e-scoters, in relationship with traditional modes, e.g., private car and walking.
User: lotentua
choice-modeling,This was the code I use to process a Multinomial Logistic Regression on R, with the Apollo Choice Modeling Package for R. Used to calculate the utility function of particular customers of vehicles in Bogotรก, Colombia
User: nicolopval
choice-modeling,Inverse Stochastic User Equilibrium with LOGIT assignment
User: pabloguarda
choice-modeling,This repository contains R code that analyzes data gathered from a lab experiment that studies the influence of time perception on route choices in public transport
User: pabloguarda
choice-modeling,Lab experiment to study the impact of time perception on route choices in public transit. It presents choice scenarios using animations or numerical attributes. It is implemented with PyQT and conducted with participants from Santiago, Chile and London, UK.
User: pabloguarda
choice-modeling, Introducing the Apollo Choice Modelling for Penalty Shot Prediction GitHub repository. Utilizing Apollo choice modeling, our code predicts soccer penalty shots. Featuring a user-friendly R Shiny app, the model considers player data, shot locations, and goalkeeper behavior to estimate shot success.
User: tayyabrahmani
Home Page: https://tayyabrahmani.shinyapps.io/Penalty_Prediction/
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