bikeshare | Statistical models and webapp for predicting when bikeshare | Machine Learning library

 by   dssg JavaScript Version: Current License: No License

kandi X-RAY | bikeshare Summary

kandi X-RAY | bikeshare Summary

bikeshare is a JavaScript library typically used in Artificial Intelligence, Machine Learning applications. bikeshare has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Statistical models and app for predicting when bikeshare stations will be empty or full in Washington DC and someday Chicago. The app is live at This project is a part of the 2013 Data Science for Social Good fellowship, in partnership with Divvy and the Chicago Department of Transportation.

            kandi-support Support

              bikeshare has a low active ecosystem.
              It has 115 star(s) with 30 fork(s). There are 147 watchers for this library.
              It had no major release in the last 6 months.
              There are 6 open issues and 58 have been closed. On average issues are closed in 36 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of bikeshare is current.

            kandi-Quality Quality

              bikeshare has 0 bugs and 0 code smells.

            kandi-Security Security

              bikeshare has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              bikeshare code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              bikeshare does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              bikeshare releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bikeshare and discovered the below as its top functions. This is intended to give you an instant insight into bikeshare implemented functionality, and help decide if they suit your requirements.
            • function used for parsing
            • generate - tag policy
            • Update the markers
            • Class block functions
            • String - > Boolean
            • make the table for testing
            • parses text
            • Default browser implementation
            • Calculates and dist packages
            • switches the menu
            Get all kandi verified functions for this library.

            bikeshare Key Features

            No Key Features are available at this moment for bikeshare.

            bikeshare Examples and Code Snippets

            No Code Snippets are available at this moment for bikeshare.

            Community Discussions


            In R tidymodels how can I specify contrasts for specific variables?
            Asked 2021-Nov-17 at 16:37

            I would like to specify "sum to zero" contrasts for two predictors in a LM using a tidymodels recipe. Is it possible? In looking at the recipes documentation, before 1.3, it seems there were attempts to build the variable specific options but the strategy was shifted to a global option.

            I am trying to convert this base R code into tidymodels:



            Answered 2021-Nov-17 at 03:01

            The docs for step_dummy() have :

            To change the type of contrast being used, change the global contrast option via options.

            so there is no way, outside of global options, to change it.

            We should probably have an example though :-/

            Note that, for new samples, the options are read from the global option again. Make sure that they are set the same at prediction-time:



            Is there a way to figure out what's wrong?
            Asked 2021-Jun-28 at 17:49

            I wrote those codes and they were running just fine, and gives the correct answers, but suddenly they began to give me wrong answers or get to next code directly, I don't know what happened? when entering city correctly, tells me to choose from available! and in month: the month is written correct but still not in months and also with days???!



            Answered 2021-Jun-28 at 13:20
            month = input('Please select month or for all months type "all": \n >')



            Error: No tidy method for objects of class function :: broom.mixed
            Asked 2021-May-14 at 14:26

            I am trying to perform a linear regression fit using tidymodels,parsnip but encounters the following error:



            Answered 2021-May-14 at 14:26

            The main issue is that you need to assign the fitted model to an object; in your case it would also be fit.

            There are two other points to consider:

            • it's confusing/not best practice to assign variables with the same name as R functions (i.e. you might want to call your fit fit0 or my_fit or something rather than fit); usually you can get away with it but it breaks, confusingly, in some contexts
            • broom.mixed is a red herring. The broom package is actually used for lm fits (and you don't need to load it, apparently tidymodels loads it (and parsnip) automatically ...)



            How can i use NumPy 1.18.5 for Python3.8 with Anaconda?
            Asked 2020-Oct-22 at 11:01

            I am having problems with the Numpy 1.18.5 version. I have the Python3.8 and they seem to be incompatible. I am working with Anaconda Navigator. So sorry if this is very basic but i am a beginner in this amazing world. Thanks a lot in advance. This is the message error i get:



            Answered 2020-Oct-22 at 11:00

            I can see the error accures when the script imports Pandas. So you might need to change your pandas version too.

            To check your Numpy: Try to find your NumPy version first.



            TabView lifecycle issue if views are the same
            Asked 2020-Sep-20 at 17:25

            I have TabView containing 2 entries....both trigger display of StationListView. The issue I have is that when I click on 2nd tab, the onAppear is being called twice (once each for the 2 instances) having the effect of data for 2nd tab showing, following shortly by data again for 1st tab.



            Answered 2020-Sep-20 at 17:25

            You'd like the view to reload the data from the network when it is selected. Unfortunately, .onAppear doesn't work because the View isn't loaded when you select it.

            Instead, reload the data when selection changes.

            To make this work in SwiftUI 2.0 (Xcode 12), pass the tag number and selection (as a Binding) to the StationListView, then have StationListView reload the data when the tag matches the selection both .onAppear and when selection changes using onChange(of: selection):



            How to push an entire array in javascript based on conditional content of single array element?
            Asked 2020-Aug-21 at 03:23

            I have created a Google script that pushes data every hour from the Capital Bikeshare API to a Google Sheet, but I have noticed that the way I am currently pulling the data doesn't maintain consistency over time. Here's the code I'm using:



            Answered 2020-Aug-20 at 21:56
            Conditionally picking elements: filter

            For conditionally picking elements from an array in JavaScript, Array.prototype.filter should always be a consideration.

            Create a predicate function that matches the shape of your data and checks for certain station IDs.

            Here is a function that returns a predicate function. You put in the IDs you want in an array, and it returns the required function for filter.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install bikeshare

            To get the project running locally, first to clone the repo:.
            To the run the flash web app, you'll need to create a new python virtual environment, install needed python modules using pip, and run the flask server:. To deploy the webapp in a production environment, use Gunicorn & nginx web servers.


            To get involved, please check the issue tracker. To get in touch, email the team at
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            gh repo clone dssg/bikeshare

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