CPSC_Scheme

 by   Aiwiscal Python Version: Current License: MIT

kandi X-RAY | CPSC_Scheme Summary

kandi X-RAY | CPSC_Scheme Summary

CPSC_Scheme is a Python library. CPSC_Scheme has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However CPSC_Scheme build file is not available. You can download it from GitHub.

CPSC_Scheme
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    Quality
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            kandi-support Support

              CPSC_Scheme has a low active ecosystem.
              It has 60 star(s) with 21 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 83 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of CPSC_Scheme is current.

            kandi-Quality Quality

              CPSC_Scheme has 0 bugs and 29 code smells.

            kandi-Security Security

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

            kandi-License License

              CPSC_Scheme 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

              CPSC_Scheme releases are not available. You will need to build from source code and install.
              CPSC_Scheme has no build file. You will be need to create the build yourself to build the component from source.
              CPSC_Scheme saves you 231 person hours of effort in developing the same functionality from scratch.
              It has 565 lines of code, 22 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed CPSC_Scheme and discovered the below as its top functions. This is intended to give you an instant insight into CPSC_Scheme implemented functionality, and help decide if they suit your requirements.
            • Return a numpy array of features
            • Get the sample entropy
            • Return standard deviation standard deviation
            • Returns the density of RR intervals
            • Return the number of pNN50
            • Calculates the RMSSD
            • Return the maximum RR
            • Return the mean value
            • Return the minimum RR
            • Fetches a list of SEGs from file
            • Segments a 1 - D array
            • Generate StackSegs
            • Convert a 1D waveform to 1D waveform
            • Pad a 1d signal to a given length
            • Convenience function for building the network
            • Backbone
            • Overrides the oversample
            • Calculate learning rate
            Get all kandi verified functions for this library.

            CPSC_Scheme Key Features

            No Key Features are available at this moment for CPSC_Scheme.

            CPSC_Scheme Examples and Code Snippets

            No Code Snippets are available at this moment for CPSC_Scheme.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install CPSC_Scheme

            You can download it from GitHub.
            You can use CPSC_Scheme 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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            CLONE
          • HTTPS

            https://github.com/Aiwiscal/CPSC_Scheme.git

          • CLI

            gh repo clone Aiwiscal/CPSC_Scheme

          • sshUrl

            git@github.com:Aiwiscal/CPSC_Scheme.git

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