Microsoft.ProgramSynthesis.Extraction.Web 8.3.0 Prefix Reserved

Install-Package Microsoft.ProgramSynthesis.Extraction.Web -Version 8.3.0
dotnet add package Microsoft.ProgramSynthesis.Extraction.Web --version 8.3.0
<PackageReference Include="Microsoft.ProgramSynthesis.Extraction.Web" Version="8.3.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ProgramSynthesis.Extraction.Web --version 8.3.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ProgramSynthesis.Extraction.Web, 8.3.0"
#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.Web as a Cake Addin
#addin nuget:?package=Microsoft.ProgramSynthesis.Extraction.Web&version=8.3.0

// Install Microsoft.ProgramSynthesis.Extraction.Web as a Cake Tool
#tool nuget:?package=Microsoft.ProgramSynthesis.Extraction.Web&version=8.3.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

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

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Microsoft.ProgramSynthesis.Extraction.Web:

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.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.ProgramSynthesis.Extraction.Web:

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 Downloads Last updated
8.3.0 288 10/25/2021
8.2.0 324 9/28/2021
8.1.0 269 8/23/2021
8.0.0 243 7/28/2021
7.32.0 344 6/28/2021
7.31.0 265 5/25/2021
7.30.0 270 4/28/2021
7.28.0 314 3/23/2021
7.27.0 290 2/22/2021
7.25.1 321 1/27/2021
7.25.0 298 1/26/2021
7.24.0 428 12/14/2020
7.23.0 428 11/23/2020
7.22.0 456 10/26/2020
7.20.0 492 9/28/2020
7.17.0 682 8/26/2020
7.16.0 558 7/27/2020
7.13.1 3,229 6/25/2020
7.13.0 378 6/22/2020
7.11.1 540 5/15/2020
7.11.0 427 5/15/2020
7.10.0 3,995 4/29/2020
7.9.1 1,074 4/6/2020
7.9.0 432 4/6/2020
7.8.0 527 3/25/2020
7.7.0 569 2/29/2020
7.6.1 1,585 1/28/2020
7.6.0 643 1/27/2020
7.5.1 555 11/26/2019
7.5.0 403 11/26/2019
7.4.0 518 10/29/2019
7.3.0 547 9/23/2019
7.1.0 560 8/29/2019
7.0.0 543 7/30/2019
6.21.0 664 6/24/2019
6.20.0 70,719 5/30/2019
6.18.0 33,298 4/11/2019
6.17.0 3,250 3/15/2019
6.14.6 740 2/16/2019
6.11.0 741 1/16/2019
6.10.0 676 12/17/2018
6.9.0 1,337 11/16/2018
6.8.1 688 10/18/2018
6.8.0 638 10/18/2018
6.7.0 831 9/20/2018
6.6.0 851 8/20/2018
6.5.0 788 7/23/2018
6.4.0 847 6/26/2018
6.3.0 818 5/15/2018
6.2.0 876 4/25/2018
6.1.0 852 4/16/2018
6.0.0 4,422 3/19/2018
5.1.0 839 2/7/2018
5.0.1 986 2/5/2018