Our primary CoLab: Open the colab Run Models - Merges Features with Targets based on parameters.yaml Backup resides at realitystream/models/Run-Models-bkup.ipynb
GPU SUPPORT using cuML In your browser, when using the Run Models notebook, change the runtime type to get the latest speedups from cuML.
Data prep for Industry Features and Targets - Bee Density - Tree Canopy
Industry Features Data Prep:
Generate Industry Features (All years)
GitHub Output: community-timelines/training/all-years
Source: Community-Timelines
Backup and run locally @ input/industries/features/industries-features-bkup.ipynb
External Targets (Google Data Commons)
Tree Canopy improvements, Improvements in Emissions by state and country, Honey Bee Populations.
Our Geneate Industry Features Colab provides a simple sample of processing multiple years from parameters.yaml
Industry Targets
Our Industry Targets Colab for Job Growth and Wage Growth. - Data generated by Industries Timeline Data Prep
Initial CoLab - moving into link above
Job Growth - Increase in local jobs for states and counties. Features: types of industries, education levels, employment levels, population density, environmental indicators
Wage Growth - Increases in local pay levels Features: types of industries, education levels, employment levels, population density, environmental indicators
Notes on how we push files to GitHub