datazoo | A set of data providers for machine learning | Machine Learning library

 by   nerox8664 Python Version: 0.0.3 License: MIT

kandi X-RAY | datazoo Summary

kandi X-RAY | datazoo Summary

datazoo is a Python library typically used in Travel, Transportation, Logistics, Artificial Intelligence, Machine Learning applications. datazoo has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install datazoo' or download it from GitHub, PyPI.

A set of data providers for machine learning. [WIP]
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            kandi-support Support

              datazoo has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              datazoo has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of datazoo is 0.0.3

            kandi-Quality Quality

              datazoo has no bugs reported.

            kandi-Security Security

              datazoo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              datazoo is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              datazoo releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            datazoo Key Features

            No Key Features are available at this moment for datazoo.

            datazoo Examples and Code Snippets

            No Code Snippets are available at this moment for datazoo.

            Community Discussions

            QUESTION

            R : error message for data.frame() element class
            Asked 2018-Jul-05 at 20:38

            I'm trying to use the eventstudies package but I get a strange error message when running the function despite following the instructions here. My code is such as :

            ...

            ANSWER

            Answered 2018-Jul-05 at 20:38

            Probably you need the Date column to be of the class Date as well. Try

            Source https://stackoverflow.com/questions/51196748

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

            Vulnerabilities

            No vulnerabilities reported

            Install datazoo

            You can install using 'pip install datazoo' or download it from GitHub, PyPI.
            You can use datazoo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            Install
          • PyPI

            pip install datazoo

          • CLONE
          • HTTPS

            https://github.com/nerox8664/datazoo.git

          • CLI

            gh repo clone nerox8664/datazoo

          • sshUrl

            git@github.com:nerox8664/datazoo.git

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