geotime_classify | recurrent neural network paired with heuristic methods

 by   jataware Jupyter Notebook Version: v0.7.6 License: Non-SPDX

kandi X-RAY | geotime_classify Summary

kandi X-RAY | geotime_classify Summary

geotime_classify is a Jupyter Notebook library. geotime_classify has no bugs, it has no vulnerabilities and it has low support. However geotime_classify has a Non-SPDX License. You can download it from GitHub.

The next function is columns_classified. This function returns an array that classifies each column in our csv by using a combination of the predictions from the LSTM model along with validation code for each classification.
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            kandi-support Support

              geotime_classify has a low active ecosystem.
              It has 2 star(s) with 2 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 1 have been closed. On average issues are closed in 5 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of geotime_classify is v0.7.6

            kandi-Quality Quality

              geotime_classify has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              geotime_classify has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              geotime_classify releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 4938 lines of code, 282 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            geotime_classify Key Features

            No Key Features are available at this moment for geotime_classify.

            geotime_classify Examples and Code Snippets

            No Code Snippets are available at this moment for geotime_classify.

            Community Discussions

            No Community Discussions are available at this moment for geotime_classify.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install geotime_classify

            First you need to install numpy, scipy, pandas, joblib, pip, torch and torchvision.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/jataware/geotime_classify.git

          • CLI

            gh repo clone jataware/geotime_classify

          • sshUrl

            git@github.com:jataware/geotime_classify.git

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