Microsoft.ProgramSynthesis.Transformation.Text 7.27.0

Domain Specific Language for deriving new values from input text.  Part of the Microsoft PROgram Synthesis using Examples SDK (PROSE).

Install-Package Microsoft.ProgramSynthesis.Transformation.Text -Version 7.27.0
dotnet add package Microsoft.ProgramSynthesis.Transformation.Text --version 7.27.0
<PackageReference Include="Microsoft.ProgramSynthesis.Transformation.Text" Version="7.27.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ProgramSynthesis.Transformation.Text --version 7.27.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ProgramSynthesis.Transformation.Text, 7.27.0"
For F# scripts that support #r syntax, copy this into the source code to reference the package.

Release Notes

See https://github.com/microsoft/prose/tree/master/release-notes

NuGet packages (4)

Showing the top 4 NuGet packages that depend on Microsoft.ProgramSynthesis.Transformation.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.Detection
Libraries for detecting data, encoding and file types. Part of the Microsoft PROgram Synthesis using Examples SDK (PROSE).
Microsoft.ProgramSynthesis.Extraction.Web
Domain Specific Language for extracting data from web pages. Part of the Microsoft PROgram Synthesis using Examples SDK (PROSE).
Microsoft.ProgramSynthesis.Transformation.Json
Domain Specific Language for transforming JSON documents. Part of the Microsoft PROgram Synthesis using Examples SDK (PROSE).

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.ProgramSynthesis.Transformation.Text:

Repository Stars
microsoft/prose
Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.

Version History

Version Downloads Last updated
7.27.0 30 2/22/2021
7.25.1 109 1/27/2021
7.25.0 92 1/26/2021
7.24.0 208 12/14/2020
7.23.0 146 11/23/2020
7.22.0 296 10/26/2020
7.20.0 318 9/28/2020
7.17.0 449 8/26/2020
7.16.0 340 7/27/2020
7.13.1 1,351 6/25/2020
7.13.0 220 6/22/2020
7.11.1 348 5/15/2020
7.11.0 240 5/15/2020
7.10.0 3,699 4/29/2020
7.9.1 886 4/6/2020
7.9.0 279 4/6/2020
7.8.0 369 3/25/2020
7.7.0 392 2/29/2020
7.6.1 1,419 1/28/2020
7.6.0 426 1/27/2020
7.5.1 350 11/26/2019
7.5.0 250 11/26/2019
7.4.0 345 10/29/2019
7.3.0 351 9/23/2019
7.1.0 355 8/29/2019
7.0.0 328 7/30/2019
6.21.0 471 6/24/2019
6.20.0 68,837 5/30/2019
6.18.0 33,115 4/11/2019
6.17.0 3,035 3/15/2019
6.14.6 539 2/16/2019
6.11.0 558 1/16/2019
6.10.0 452 12/17/2018
6.9.0 1,157 11/16/2018
6.8.1 502 10/18/2018
6.8.0 461 10/18/2018
6.7.0 623 9/20/2018
6.6.0 708 8/20/2018
6.5.0 628 7/23/2018
6.4.0 603 6/26/2018
6.3.0 620 5/15/2018
6.2.0 629 4/25/2018
6.1.0 625 4/16/2018
6.0.0 4,065 3/19/2018
5.1.0 670 2/7/2018
5.0.1 691 2/5/2018