In this release (ML.NET 1.0 RC) we have initially concluded our main API changes. For the next sprint we are focusing on improving documentation and samples and addressing major critical issues if needed. The goal is to avoid any new breaking changes moving forward.

ML.NET 1.0 RC is the last preview release before releasing the final ML.NET 1.0 RTM (Requirements Traceability Matrix) this year. Developers can use ML.NET in sentiment analysis, product recommendation, spam detection, image classification, and much more.

ML.NET is an open source and cross-platform machine learning framework for .NET. - dotnet/machinelearning. Image classification performance improvements and option to create validation set from train set. (#4522). Upgraded OnnxRuntime to v1.0 and Google Protobuf to 3.10.1.

Вышел ML.NET 1.0 RC. Что нового?

Microsoft ha anunciado la versión ML.NET v1.0 RC. Podemos ver el roadmap que Microsoft ha anunciado sobre el producto y vemos como de la versión 0.11 de Marzo, hemos pasado a esta versión 1.0 preview del mismo

ML.NET is a free, cross-platform, and open source machine learning framework for .NET developers. It is also an extensible platform that powers Microsoft...

Wydano ML.NET 1.0 Release Candidate: otwarte i wieloplatformowe środowisko uczenia maszynowego dla .NET. W wersji 1.0 RC, poza wieloma małymi poprawkami, naprawiono między innymi współpracę właśnie z biblioteką TensorFlow, która już od ponad trzech lat wspomaga uczenie...

ML.NET is a free software machine learning library for the C# and F# programming languages. It also supports Python models when used together with NimbusML.

Mit ML.NET (Machine Learning für .NET) veröffentlicht Microsoft ein für die Softwareentwicklung revolutionäres Framework. Möchte man maschinelles Lernen in den eigenen Anwendungen einsetzen, ist es nicht länger notwendig, sich im Detail mit der Mathematik und der Implementierung von z. B...

In ML.NET 1.0 RC wurde die Komponente IDataView aufgrund von Feedback zurück zum Namespace Microsoft.ML verschoben. In ML.NET 0.10 war IDataView mit dem Ziel erhöhter Interoperabilität in Microsoft.Data.DataView ausgelagert worden, wir berichteten.

Using ML.net in my .NET core app I'm trying to consume a KERAS LSTM model that I exported to an ONNX file. Here is my code: using Microsoft.ML; using Microsoft.ML.Data; using Microsoft.ML.Transforms.Onnx; public void getmodel(mydata[] data1) {.

Последние твиты от ML.Net (@MLdotnet). About Machine learning. Machine Learning with ML .NET in The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19), August 4-8, Anchorage, AK, USA. #dotnet @MLdotnet @markusweimer @zeeshantweets https...

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Earlier this week, Microsoft released .NET 5.0 RC1, the first "go live" release of .NET 5 before its official debut in November. . In the original RC1 announcement, Lander also focused on records in C# and System.Text.Json.JsonSerializer, which "are separate features, but also a nice pairing, particularly if...

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ANOMALY 1.5 RC22 - NZK MOD 3.0 NZK MOD 3.0 uses Anomaly 1.5 RC 22 as base, without RC22 the new version of NZK will not work! For the MOD version you will need a pure version of Anomaly RC 22. This modification is aimed at changing the game for the better by improving the intelligence of...