loadcf | It is a python config file loader | Configuration Management library

 by   singpenguin Python Version: Current License: MIT

kandi X-RAY | loadcf Summary

kandi X-RAY | loadcf Summary

loadcf is a Python library typically used in Devops, Configuration Management, Numpy applications. loadcf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

It is a python config file loader. It convert config item to python module item, then you can import and use it direct. Support Python2.7, Python3.5.
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            kandi-support Support

              loadcf has a low active ecosystem.
              It has 9 star(s) with 4 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              loadcf has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of loadcf is current.

            kandi-Quality Quality

              loadcf has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              loadcf 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

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

            Top functions reviewed by kandi - BETA

            kandi has reviewed loadcf and discovered the below as its top functions. This is intended to give you an instant insight into loadcf implemented functionality, and help decide if they suit your requirements.
            • Load configuration from a file
            • Resolve nested dicts
            • Read the content of the README rst file
            • Read the README rst file
            Get all kandi verified functions for this library.

            loadcf Key Features

            No Key Features are available at this moment for loadcf.

            loadcf Examples and Code Snippets

            No Code Snippets are available at this moment for loadcf.

            Community Discussions

            QUESTION

            get Classification accuracy on test data using previous saved model
            Asked 2017-Aug-14 at 08:35

            I am using Orange data mining tool to write a python script to get classification accuracy on test data using a previous saved model(pickle file).

            ...

            ANSWER

            Answered 2017-Aug-14 at 08:35

            You must not pre-train the classifier before passing it to TestOnTestData (its name should be TrainOnTrainAndTestOnTestData, i.e. it invokes fitting/training step on its own).

            Unfortunately there is no readily available explicit way to create a Result instance from an application of a pre-trained classifier(s) on a test dataset.

            One quick and dirty way is to thunk the 'learners' passed to TestOnTest data to return the pre-trained models

            Source https://stackoverflow.com/questions/45608130

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

            Vulnerabilities

            No vulnerabilities reported

            Install loadcf

            You can download it from GitHub.
            You can use loadcf 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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          • HTTPS

            https://github.com/singpenguin/loadcf.git

          • CLI

            gh repo clone singpenguin/loadcf

          • sshUrl

            git@github.com:singpenguin/loadcf.git

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