modeling-examples | Gurobi modeling examples | Machine Learning library

 by   Gurobi Jupyter Notebook Version: Current License: Apache-2.0

kandi X-RAY | modeling-examples Summary

kandi X-RAY | modeling-examples Summary

modeling-examples is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning applications. modeling-examples has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Gurobi modeling examples
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              modeling-examples has a low active ecosystem.
              It has 360 star(s) with 195 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 7 have been closed. On average issues are closed in 54 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of modeling-examples is current.

            kandi-Quality Quality

              modeling-examples has no bugs reported.

            kandi-Security Security

              modeling-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              modeling-examples is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              modeling-examples releases are not available. You will need to build from source code and install.

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            modeling-examples Key Features

            No Key Features are available at this moment for modeling-examples.

            modeling-examples Examples and Code Snippets

            No Code Snippets are available at this moment for modeling-examples.

            Community Discussions

            Trending Discussions on modeling-examples

            QUESTION

            Absurd solution using gurobi python in regression
            Asked 2020-Dec-06 at 22:09

            So I am new to gurobi and I decided to start working with it on a well known problem as regression. I found this official notebook, where an L0 penalized regression model was solved and I took just the part of the regression model out of it. However, when I solve this problem in gurobi, I get a really strange solution, totally different from the actual correct regression solution.

            The code I am running is:

            ...

            ANSWER

            Answered 2020-Dec-06 at 22:09

            The wrong result is due to your decision variables. Since Gurobi assumes the lower bound 0 for all variables by default, you need to explicitly set the lower bound:

            Source https://stackoverflow.com/questions/65169047

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

            Vulnerabilities

            No vulnerabilities reported

            Install modeling-examples

            You can download it from GitHub.

            Support

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            CLONE
          • HTTPS

            https://github.com/Gurobi/modeling-examples.git

          • CLI

            gh repo clone Gurobi/modeling-examples

          • sshUrl

            git@github.com:Gurobi/modeling-examples.git

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