deducer | effective solution for deducing/transforming/reshaping data | Dataset library

 by   robertpitt TypeScript Version: 0.2.1 License: MIT

kandi X-RAY | deducer Summary

kandi X-RAY | deducer Summary

deducer is a TypeScript library typically used in Artificial Intelligence, Dataset applications. deducer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project is aimed at providing a simple but effective solution for deducing/transforming/reshaping data. A deduction is described as the following signature { source: Path, desstination?: Path, reducers?: Function[]], The deduce function will take an input object and an array of deductions, each deduction will be responsible for cosuming parts of the input in order to produce a new value in the output.
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              deducer has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deducer is 0.2.1

            kandi-Quality Quality

              deducer has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              deducer 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

              deducer releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            deducer Key Features

            No Key Features are available at this moment for deducer.

            deducer Examples and Code Snippets

            No Code Snippets are available at this moment for deducer.

            Community Discussions

            QUESTION

            Do constexpr values cause binary size to increase?
            Asked 2020-Aug-06 at 14:10

            I know that templatized types such as the below cost nothing on the compiled binary size:

            ...

            ANSWER

            Answered 2020-Aug-06 at 14:10

            This depends entirely on:

            1. How much the compiler feels like optimizing the variable away.
            2. How you use the variable.

            Consider the code you posted. You created a constexpr array. As this is an array, it is 100% legal to index it with a runtime value. This would require the compiler to emit code that accesses the array at that index, which would require that array to actually exist in memory. So if you use it in such a way, it must have storage.

            However, since your code only indexes this array with a constant expression index, a compiler that wants to think a bit more than -O0 would allow would realize that it knows the value of all of the elements in that array. So it knows exactly what cArr[0] is. And that means the compiler can just convert that expression into the proper value and just ignore that cArr exists.

            Such a compiler could do the same with arr, BTW; it doesn't have to be a constant expression for the compiler to detect a no-op.

            Also, note that since both arrays are non-static, neither will take up storage "in the compiled binary". If runtime storage for them is needed, it will be stack space, not executable space.

            Broadly speaking, a constexpr variable will take up storage at any reasonable optimization level if you do something that requires it to take up storage. This could be something as innocuous as passing it to a (un-inlined) function that takes the parameter by const&.

            Source https://stackoverflow.com/questions/63238371

            QUESTION

            How to transform aggregated counts into a contingency table?
            Asked 2020-Mar-31 at 20:56

            I would like to use a dataframe of census data of several countries and make a contingency table with row/column/total percentages out of it. The thing I am struggling with is that the data is already aggregated in the form of a contingency table. How do I convert the raw counts into a contingency table?

            ...

            ANSWER

            Answered 2020-Mar-31 at 20:56

            An option would be to split the dataset by 'country', create a summary table with xtabs and apply the prop.table

            Source https://stackoverflow.com/questions/60958804

            QUESTION

            Why template argument deduction fails?
            Asked 2020-Feb-07 at 11:51

            Minimized example:

            ...

            ANSWER

            Answered 2020-Feb-07 at 11:30

            As per this:

            Type deduction does not consider implicit conversions (other than type adjustments listed above): that's the job for overload resolution, which happens later.

            You can try having something like this:

            Source https://stackoverflow.com/questions/60112272

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

            Vulnerabilities

            No vulnerabilities reported

            Install deducer

            You can download it from GitHub.

            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
          • npm

            npm i deducer

          • CLONE
          • HTTPS

            https://github.com/robertpitt/deducer.git

          • CLI

            gh repo clone robertpitt/deducer

          • sshUrl

            git@github.com:robertpitt/deducer.git

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