Microsoft.ProgramSynthesis.Extraction.Text 8.4.0 Prefix Reserved

Install-Package Microsoft.ProgramSynthesis.Extraction.Text -Version 8.4.0
dotnet add package Microsoft.ProgramSynthesis.Extraction.Text --version 8.4.0
<PackageReference Include="Microsoft.ProgramSynthesis.Extraction.Text" Version="8.4.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ProgramSynthesis.Extraction.Text --version 8.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ProgramSynthesis.Extraction.Text, 8.4.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.ProgramSynthesis.Extraction.Text as a Cake Addin
#addin nuget:?package=Microsoft.ProgramSynthesis.Extraction.Text&version=8.4.0

// Install Microsoft.ProgramSynthesis.Extraction.Text as a Cake Tool
#tool nuget:?package=Microsoft.ProgramSynthesis.Extraction.Text&version=8.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Domain Specific Language for extracting tabular data from input string using M language. Part of the Microsoft PROgram Synthesis using Examples SDK (PROSE).

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Microsoft.ProgramSynthesis.Extraction.Text:

Package Downloads
Microsoft.ProgramSynthesis

Library for automatically synthesizing programs from examples. Microsoft PROgram Synthesis using Examples SDK (PROSE) is a framework of technologies for automatic generation of programs from input-output examples, keywords, and similar forms of imprecise specification. In PROSE, you define a domain-specific language (DSL) of programs that constitute your domain of useful tasks (e.g. a DSL of CSS selectors). At runtime, you give PROSE some (typically user-provided) input-output examples for the desired program's behavior, and its algorithms synthesize a ranked set of programs from this DSL that are consistent with the given examples. These programs can be saved and applied on similar user data after one learning session (typically with 1-4 examples). PROSE can be used to enable programming-by-example experience in an arbitrary user-facing application, provided the app developer describes its application domain in a DSL form. As part of the project, the PROSE framework includes a set of specific technologies for various data wrangling domains. These include Transformation.Text, a library of string transformations first shipped as FlashFill in Microsoft Excel 2013, text extraction library with a DSL of programs that find a desired sequence of regions in a textual file, and several others. All of these data wrangling libraries, as well as the underlying program synthesis framework, can currently be used out of the box for research, education, and other non-commercial initiatives.

Microsoft.ProgramSynthesis.Compound.Extraction.Field

Domain Specific Language for extracting substrings from text data. Part of the Microsoft PROgram Synthesis using Examples SDK (PROSE).

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
8.4.0 0 11/29/2021
8.3.0 291 10/25/2021
8.2.0 309 9/28/2021
8.1.0 270 8/23/2021
8.0.0 244 7/28/2021
7.32.0 351 6/28/2021
7.31.0 254 5/25/2021
7.30.0 268 4/28/2021
7.28.0 319 3/23/2021
7.27.0 290 2/22/2021
7.25.1 319 1/27/2021
7.25.0 306 1/26/2021
7.24.0 443 12/14/2020
7.23.0 476 11/23/2020
7.22.0 502 10/26/2020
7.20.0 509 9/28/2020
7.17.0 686 8/26/2020
7.16.0 561 7/27/2020
7.13.1 3,231 6/25/2020
7.13.0 383 6/22/2020
7.11.1 532 5/15/2020
7.11.0 437 5/15/2020
7.10.0 3,809 4/29/2020
7.9.1 1,046 4/6/2020
7.9.0 462 4/6/2020
7.8.0 515 3/25/2020
7.7.0 544 2/29/2020
7.6.1 1,599 1/28/2020
7.6.0 648 1/27/2020
7.5.1 531 11/26/2019
7.5.0 419 11/26/2019
7.4.0 535 10/29/2019
7.3.0 539 9/23/2019
7.1.0 567 8/29/2019
7.0.0 514 7/30/2019
6.21.0 935 6/24/2019
6.20.0 70,297 5/30/2019
6.18.0 33,640 4/11/2019
6.17.0 3,525 3/15/2019
6.14.6 1,038 2/16/2019
6.11.0 983 1/16/2019
6.10.0 920 12/17/2018
6.9.0 1,561 11/16/2018
6.8.1 948 10/18/2018
6.8.0 867 10/18/2018
6.7.0 1,081 9/20/2018
6.6.0 1,052 8/20/2018
6.5.0 1,039 7/23/2018
6.4.0 1,100 6/26/2018
6.3.0 1,088 5/15/2018
6.2.0 1,093 4/25/2018
6.1.0 1,118 4/16/2018
6.0.0 4,674 3/19/2018
5.1.0 1,158 2/7/2018
5.0.1 1,249 2/5/2018