Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning
10.3.0
Prefix Reserved
dotnet add package Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning --version 10.3.0
NuGet\Install-Package Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning -Version 10.3.0
<PackageReference Include="Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning" Version="10.3.0" />
paket add Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning --version 10.3.0
#r "nuget: Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning, 10.3.0"
// Install Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning as a Cake Addin #addin nuget:?package=Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning&version=10.3.0 // Install Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning as a Cake Tool #tool nuget:?package=Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning&version=10.3.0
Microsoft Program Synthesis using Examples SDK
The Program Synthesis using Examples (PROSE) SDK includes a set of technologies for the automatic generation of programs
from input-output examples. The SDK is split into a series of nuget packages that can be used independently or in
concert. Each package references which ever others it depends on as needed, so just install the packages you need for
your scenarios, or install the top-level Microsoft.ProgramSynthesis
package to get everything.
Getting Started
You can find samples for consuming the SDK as well as the release notes at https://github.com/microsoft/prose.
License
The PROSE SDK is available for non-commercial use only. See the LICENSE.txt file for more details.
Contributing
The PROSE SDK is closed source (except the usage samples), but if you run into problems, please open an issue, and someone from the PROSE team will work with you to see if the problem can be addressed.
Product | Versions Compatible and additional computed target framework versions. |
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.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- Microsoft.ML (>= 1.7.1)
- Microsoft.ML.LightGbm (>= 1.7.1)
- Newtonsoft.Json (>= 13.0.2)
NuGet packages (2)
Showing the top 2 NuGet packages that depend on Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning:
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.Transformation.Formula
Domain Specific Language for dynamic formula generation intended for translation to languages such as Excel and Python. 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 |
---|---|---|
10.3.0 | 259 | 10/28/2024 |
10.2.0 | 283 | 9/24/2024 |
10.1.0 | 285 | 8/27/2024 |
10.0.0 | 274 | 7/23/2024 |
9.0.0 | 520 | 6/25/2024 |
8.35.1 | 349 | 5/29/2024 |
8.34.1 | 326 | 4/26/2024 |
8.34.0 | 320 | 4/25/2024 |
8.33.0 | 490 | 3/26/2024 |
8.32.0 | 384 | 2/28/2024 |
8.31.0 | 3,782 | 1/25/2024 |
8.30.0 | 656 | 12/20/2023 |
8.29.0 | 448 | 11/27/2023 |
8.28.0 | 2,692 | 10/24/2023 |
8.27.0 | 5,820 | 9/25/2023 |
8.26.0 | 879 | 8/30/2023 |
8.25.0 | 12,134 | 7/24/2023 |
8.24.0 | 623 | 6/26/2023 |
8.22.0 | 1,994 | 5/24/2023 |
8.21.0 | 2,307 | 4/24/2023 |
8.20.0 | 1,026 | 3/30/2023 |
8.19.0 | 1,943 | 2/27/2023 |
8.18.0 | 1,388 | 1/25/2023 |
8.17.0 | 1,840 | 12/20/2022 |
8.16.0 | 1,444 | 11/21/2022 |
8.15.0 | 1,587 | 10/31/2022 |
8.14.0 | 1,654 | 10/24/2022 |