mixtool | mixtool is a helper for easily working with jsonnet mixins | Game Engine library

 by   monitoring-mixins Go Version: Current License: Apache-2.0

kandi X-RAY | mixtool Summary

kandi X-RAY | mixtool Summary

mixtool is a Go library typically used in Gaming, Game Engine applications. mixtool has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

NOTE: This project is alpha stage. Flags, configuration, behavior and design may change significantly in following releases. The mixtool is a helper for easily working with jsonnet mixins.
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            kandi-support Support

              mixtool has a low active ecosystem.
              It has 108 star(s) with 14 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 9 open issues and 12 have been closed. On average issues are closed in 144 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mixtool is current.

            kandi-Quality Quality

              mixtool has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              mixtool 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

              mixtool releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 1552 lines of code, 67 functions and 20 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mixtool and discovered the below as its top functions. This is intended to give you an instant insight into mixtool implemented functionality, and help decide if they suit your requirements.
            • installAction handles the install action
            • generateCommand defines the subcommands .
            • InstallCommand installs a jb file into a directory
            • lintGrafanaDashboards examines dashboards .
            • provision implements ruleProvisioner
            • listAction handles mixins .
            • generateMixin generates a mixin
            • generateDashboards generates a list of dashboards .
            • generateAction builds a cli . ActionFunc
            • lintCommand defines the cli coverage command .
            Get all kandi verified functions for this library.

            mixtool Key Features

            No Key Features are available at this moment for mixtool.

            mixtool Examples and Code Snippets

            No Code Snippets are available at this moment for mixtool.

            Community Discussions

            QUESTION

            Plotting mixture of univariate normal distributions using the R package EMCluster
            Asked 2021-Jul-09 at 17:02

            I would like to visualize a mixture of univariate normal distributions fitted by the EMCluster R package. I would like to get a set of Gaussian curves plotted for each group separately onto a histogram of my data like this:

            However, there does not seem to be any plotting function in EMCluster doing that, and the EMCluster help files do not cover this topic. I am aware of other R packages having this functionality (e.g., mixtools or mclust), but these do not do the fitting job right unlike EMCluster, which as the only one fits the distribution correctly.

            This is is the code used to fit the model:

            ...

            ANSWER

            Answered 2021-Jul-09 at 17:02

            This is pretty straightforward. There's a little bit of calculation involved in getting the heights of the curves to line up reasonably, but otherwise it's pretty basic. First plot a histogram. If you want a box around it, like your example, do that. Then you'll need to call lines() 6 times to plot the 6 normals. In R, lines are just a sequence of interpolated points—(x,y) coordinates—so make a sufficiently fine-grained set of x coordinates, then compute the normal density for each component using dnorm() and the fitted parameters. You'll need to multiply those y-values by the appropriate proportion and a height adjustment factor to get the heights of the curves right. It turns out that the highest bin in your histogram is 82, which is approximately the peak of your third component, but since that represents only 30%, you need to rescale the adjustment factor by that. You may want to choose your own colors. Consider:

            Source https://stackoverflow.com/questions/68308952

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

            Vulnerabilities

            No vulnerabilities reported

            Install mixtool

            Make sure you're using golang v1.17 or higher, and run:.

            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://github.com/monitoring-mixins/mixtool.git

          • CLI

            gh repo clone monitoring-mixins/mixtool

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            git@github.com:monitoring-mixins/mixtool.git

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