Man pages for ProjetRTaxeFare/TF
Awesome Package use to predict taxis fare
| cleaning | Deletion of location that are not in New york and its suburbs |
| discretisation_dataframe | Whole dataframe error or final data |
| good_dataframe | Whole dataframe with clean data |
| grid | Title |
| hour_filter | Different time zones corresponding to different traffic... |
| main | Return the Spatial Grid that will serve as the domain |
| model_df | dataset |
| over_2 | Return Id from our grid given latitude and longitude inputs |
| path | Final dataset for one trip |
| pipe | Pipe operator |
| predict | Prediction of taxi prices |
| proj_cord | Create a plot |
| proj_shp | Create a shapefile |
| run_app | Run the Shiny app |
| ShinyApp | #' @export |
| shp | dataset |
| spatial_grid | dataset |
| train | dataset |
| train_sample | dataset |
| train_transfo2 | dataset |
| transformation | Keep the relevant variables |
| transform_row | Data row to vector |
