seai | CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled S | Machine Learning library

 by   ckaestne Jupyter Notebook Version: Current License: Non-SPDX

kandi X-RAY | seai Summary

kandi X-RAY | seai Summary

seai is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. seai has no bugs, it has no vulnerabilities and it has low support. However seai has a Non-SPDX License. You can download it from GitHub.

This is a course for those who want to build applications and products with machine learning. Assuming we can learn a model to make predictions, what does it take to turn the model into a product and actually deploy it, build a business, and successfully operate and maintain it?. The course is designed to establish a working relationship between software engineers and data scientists: both contribute to building AI-enabled systems but have different expertise and focuses. To work together they need a mutual understanding of their roles, tasks, concerns, and goals and build a working relationship. This course is aimed at software engineers who want to build robust and responsible systems meeting the specific challenges of working with AI components and at data scientists who want to understand the requirements of the model for production use and want to facilitate getting a prototype model into production; it facilitates communication and collaboration between both roles. The course focuses on all the steps needed to turn a model into a production system in a responsible and reliable manner.

            kandi-support Support

              seai has a low active ecosystem.
              It has 323 star(s) with 129 fork(s). There are 20 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 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 seai is current.

            kandi-Quality Quality

              seai has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              seai has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              seai releases are not available. You will need to build from source code and install.

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            seai Key Features

            No Key Features are available at this moment for seai.

            seai Examples and Code Snippets

            No Code Snippets are available at this moment for seai.

            Community Discussions


            Compiling a multiple sheet Excel Spreadsheet into pycel
            Asked 2020-May-05 at 09:06

            TL;DR - trying to compile this multi-sheet Pycel tests/fixture spreadsheet (I'm particularly interested in capturing inter-sheet dependencies) using into Python code using Pycel

            The Problem

            The helpful Pycel example in the example/ in the Pycel repository runs perfectly and produces a handy .gexf graph, however, I can't work out how to compile a multi-sheet Spreadsheet (in my use case there is terrifying inter-sheet dependencies!) using Pycel.

            @Stephen Rauch mentioned that "Pycel does really deal with sheets. It works with cells. Those cells can come from any sheet in the workbook" in this Stackoverflow discussion, however, I couldn't find any detail on this in the Pycel repo or in prior questions.

            What I tried

            I tried compiling the spreadsheet included in tests/fixtures/excelcompiler.xlsx as this is multi-sheet and it only seems to compile for Sheet1 as the resulting plot is empty (Sheet1 is empty).



            Answered 2020-May-05 at 09:06

            Pycel compiles multi-sheet Excel spreadsheets easily. Pycel's function pycel.ExcelCompiler is lazy and so doesn't actually compile Excel into Python until explicitly asked to do so via excel.evaluate('Result!E16')} (i.e. evaluate some cell)

            In detail

            I tried:


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


            No vulnerabilities reported

            Install seai

            You can download it from GitHub.


            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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