ML-SQL | SQL repository was created to explore and research

 by   lcdm-uiuc Jupyter Notebook Version: Current License: Non-SPDX

kandi X-RAY | ML-SQL Summary

kandi X-RAY | ML-SQL Summary

ML-SQL is a Jupyter Notebook library typically used in Big Data, Tensorflow, Spark, Hadoop applications. ML-SQL has no bugs, it has no vulnerabilities and it has low support. However ML-SQL has a Non-SPDX License. You can download it from GitHub.

The ML-SQL repository was created to explore and research a SQL-like language for Machine Learning.
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              ML-SQL has a low active ecosystem.
              It has 16 star(s) with 3 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              ML-SQL has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ML-SQL is current.

            kandi-Quality Quality

              ML-SQL has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ML-SQL 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

              ML-SQL releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 992 lines of code, 68 functions and 61 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            ML-SQL Key Features

            No Key Features are available at this moment for ML-SQL.

            ML-SQL Examples and Code Snippets

            No Code Snippets are available at this moment for ML-SQL.

            Community Discussions

            QUESTION

            Extrapolation data from XML with Query in SQL Server
            Asked 2020-May-13 at 01:55

            I'm trying to get a series of values ​​from the XML document that I report at the bottom of the page, using xpath queries inside the DB SQL server. I am absolutely not expert in the subject, I apologize for the inaccuracies. I managed following the instructions also had on this site and found online to carry out the following procedure (on my pc the XML file is located in my folder at the path C: \ XML-SQL \ lotto_3.xml)

            ...

            ANSWER

            Answered 2020-May-13 at 01:54

            There is no need to use OPENXML() and its companions sp_xml_preparedocument and `sp_xml_removedocument. They are kept just for backward compatibility with the obsolete SQL Server 2000.

            Starting from SQL Server 2005 onwards, it supports XML data type methods and XQuery language. The example below is using one-to-many relationship simulation via CROSS APPLY clause and different aliases for different levels in the XML structure. The metadata fragment is shredded based on the @name attribute value.

            Check it out.

            SQL

            Source https://stackoverflow.com/questions/61764429

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

            Vulnerabilities

            No vulnerabilities reported

            Install ML-SQL

            Begin by cloning this repository using the following command:.

            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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