ml-annotate | Use ML-Annotate to label data for machine learning purposes | Data Labeling library

 by   planbrothers Python Version: Current License: MIT

kandi X-RAY | ml-annotate Summary

kandi X-RAY | ml-annotate Summary

ml-annotate is a Python library typically used in Artificial Intelligence, Data Labeling applications. ml-annotate has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Use ML-Annotate to label data for machine learning purposes

            kandi-support Support

              ml-annotate has a low active ecosystem.
              It has 79 star(s) with 19 fork(s). There are 4 watchers for this library.
              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 158 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ml-annotate is current.

            kandi-Quality Quality

              ml-annotate has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ml-annotate 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

              ml-annotate releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ml-annotate and discovered the below as its top functions. This is intended to give you an instant insight into ml-annotate implemented functionality, and help decide if they suit your requirements.
            • Get information about a given dataset .
            • Import fake data .
            • Start training .
            • Get the event log for a given problem .
            • Batch label event .
            • Multiple labels .
            • Render a training job .
            • Delete a label event .
            • Displays training log .
            • Delete multiple label events .
            Get all kandi verified functions for this library.

            ml-annotate Key Features

            No Key Features are available at this moment for ml-annotate.

            ml-annotate Examples and Code Snippets

            No Code Snippets are available at this moment for ml-annotate.

            Community Discussions


            Import English Wikipedia dump into SQL Server
            Asked 2020-Jul-02 at 13:15

            I've downloaded the latest English Wikipedia dump (enwiki-latest-pages-articles-multistream.xml) from here, and I'm trying to import it to SQL Server 2018.

            I can’t see the XML file because it weighs over 75 GB, and thus I don't know what kind of tables I should create before I'm going to work with Bulk XML.

            How can I do this? I can write some script on Python or C#. Thanks in advance!



            Answered 2020-Jul-01 at 01:13

            Use following

            SQL Query to create database



            Can SQL/XML UpdateGrams be run in ADO.NET?
            Asked 2020-Jun-01 at 15:35

            The examples I find for executing a SQL/XML UpdateGram are all using ADODB. Can the same thing be done with ADO.NET or is the older ADODB required?




            Answered 2020-Jun-01 at 15:35

            SQLXML is out of support, and never worked with ADO.NET. It was superseded in SQL Server 2005 with the built-in XML support in SQL Server.

            UpdateGrams are no more, but you can send an XML document to SQL Server and shred it for use in queries.



            How to set ADODB connection property in C#
            Asked 2020-Jun-01 at 15:24

            I'm trying to convert a sample for running a SQL/XML "UpdateGram" from VB to C#.

            VB Example:



            Answered 2020-Jun-01 at 15:24
            conn.Properties["SQLXML Version"].Value = "SQLXML.4.0";



            Prevent duplicates when insert by SQLXMLBULKLOADLib
            Asked 2020-Feb-16 at 22:22

            I am wondering if is there a way to prevent insert of duplicate rows while we use SQLXMLBULKLOADLib? I've tried to add UNIQUE NONCLUSTERED INDEX to the SQL table, however insert by SQLXMLBulkLoad4Class fails.

            So my code looks likes this



            Answered 2020-Feb-16 at 19:27

            After exploring SQLXMLBulkLoad4Class, IgnoreDuplicateKeys property was found. So we can use IgnoreDuplicateKeys property:


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


            No vulnerabilities reported

            Install ml-annotate

            You can download it from GitHub.
            You can use ml-annotate 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.


            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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            gh repo clone planbrothers/ml-annotate

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