Windows 10: Announcing ML.NET 1.2 and Model Builder updates

Brink · Jul 18, 2019

We are excited to announce ML.NET 1.2 and updates to Model Builder and the CLI. ML.NET is an open-source and cross-platform machine learning framework for .NET developers. ML.NET also includes Model Builder (a simple UI tool for Visual Studio) and the ML.NET CLI (Command-line interface) to make it super easy to build custom Machine Learning (ML) models using Automated Machine Learning (AutoML).

Using ML.NET, developers can leverage their existing tools and skill-sets to develop and infuse custom ML into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis, Price Prediction, Image Classification and more!

The following are some of the key highlights in this update:

ML.NET Updates

ML.NET 1.2 is a backwards compatible release with no breaking changes so please update to get the latest changes.

General availability of TimeSeries support for forecasting and anomaly detection

Developers can use the Microsoft.ML.TimeSeries package for many scenarios such as: detecting spikes and changes in product sales using an anomaly detection model or creating sales forecasts which could be affected by seasonality and other time related context.

Learn more through these samples.

General availability of ML.NET packages to use TensorFlow and ONNX models

ML.NET has been designed as an extensible platform so that you can consume other popular ML models such as TensorFlow and ONNX models and have access to even more machine learning and deep learning scenarios, like image classification, object detection, and more.

Learn more through these code samples for Microsoft.ML.OnnxTransformer and Microsoft.ML.TensorFlow and the end-to-end ML.NET computer vision sample apps:

Image Classification ASP.NET Core web app

Object Detection ASP.NET Core web app

Easily integrate ML.NET models in web or serverless apps with Microsoft.Extensions.ML integration package (preview)

This package makes it easier to integrate loading ML.NET model for scoring in ASP.NET apps, Azure Functions and web services. Specifically, the package allows a developer to use Microsoft.Extensions.ML for loading the ML.NET model using Dependency Injection, and optimizing the model’s execution and performance in multi-threaded environments such as ASP.NET Core apps. Learn more here.

MLNet CLI updated to 0.14 (preview)

You can use the ML.NET CLI to automatically generate an ML.NET model and underlying C# code. You can run the ML.NET CLI on any command-prompt (Windows, Mac, or Linux).

You simply need to provide your own dataset and select the machine learning task you want to implement (such as classification or regression), and the CLI uses the AutoML engine to create model generation and deployment source code, as well as the binary model.

The CLI is updated to 0.14 addressing customer feedback.

Learn more about the CLI here:

How to use the ML.NET CLI

CLI updates in 0.14

Model Builder updates

ML.NET Model Builder provides an easy to understand visual interface to build, train, and deploy custom machine learning models.

Expanding support to .txt files and more delimiters for values

Users can now use .txt files for training the model. In the initial previews, Model Builder supported only .csv and .tsv files. Values can be separated by the following delimiters: space, comma, tab and semicolon.

No limits on training data size!

Based on popular request, we have removed the 1GB limit on the training data size. Developers can now upload files of any size.

Smart defaults for training time for large datasets

The default training time is now set based on the size of your data. It was 10 seconds before. This will allow Model Builder to find at least 1 model within that time.
Learn more about how long you should train for?

Improve model consumption experience

In the code generation step at the end of the model building process, Model Builder now also adds the ML.NET 1.2 NuGet package.

Update to ML.NET 1.2

Model Builder uses the latest version of ML.NET and the generated code will reference 1.2. In the earlier previews It was using ML.NET 1.0.

Customer feedback addressed

There were many issues fixed in this release. Learn more in the release notes.

Need help to go to production – Fill out this form!

If you are using ML.NET in your app and looking to go into production, you can talk to an engineer on the ML.NET team.

Try ML.NET and Model Builder today!

Get started with ML.NET here.

Get started with Model Builder here.

Refer to documentation for tutorials and more resources.

Learn from samples apps for different scenarios using ML.NET.

Summary

We are excited to release these updates for you and we look forward to seeing what you will build with ML.NET. If you have any questions or feedback, you can ask them here for ML.NET and Model Builder.

Your friends @ML.NET

Cesar De la Torre
Principal Program Manager, .NET
Click to expand...

Source: https://devblogs.microsoft.com/dotne...rning-for-net/

:)

Sandeep_KM · Jul 18, 2019

Models on 3D builder application are not displaying normally.

Hello,

Thank you for replying with required information.

Are you facing this issue with all the models in 3D Builder?

Have you downloaded the models or have you created you own models using 3D builder application?

In which file format are the models saved?

Were you able to view the models in the 3D builder normally, prior to this issue?

Reply with the information to the above question for further clarity on the issue.

Meanwhile, I suggest you to create a new user account and check if the issue is specific to the user account. Refer the article on
Create
a local user or administrator account in Windows 10
for steps to create a new user account.

we await your response.

Hope it helps.

Sandeep Kumar M

Microsoft Community – Moderator

Brink · Jul 18, 2019

Announcing ML.NET 0.8 - Machine Learning for .NET

ML.NET is an open-source and cross-platform framework (Windows, Linux, macOS) which makes machine learning accessible for .NET developers.

ML.NET allows you to create and use machine learning models targeting scenarios to achieve common tasks such as sentiment analysis, issue classification, forecasting, recommendations, fraud detection, image classification and more. You can check out these common tasks at our GitHub repo with ML.NET samples.

Today we’re happy to announce the release of ML.NET 0.8. (ML.NET 0.1 was released at //Build 2018). This release focuses on adding improved support for recommendation scenarios, model explainability in the form of feature importance, debuggability by previewing your in-memory datasets, API improvements such as caching, filtering, and more.

This blog post provides details about the following topics in the ML.NET 0.8 release:

New Recommendation scenarios

Improved debuggability

Model explainability

Additional API improvements

Click to expand...

Read more: Announcing ML.NET 0.8 Machine Learning for .NET | .NET Blog

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Brink · Jul 18, 2019

Announcing ML.NET 0.10 - Machine Learning for .NET

ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models.

ML.NET allows you to create and use machine learning models targeting common tasks such as classification, regression, clustering, ranking, recommendations and anomaly detection. It also supports the broader open source ecosystem by proving integration with popular deep-learning frameworks like TensorFlow and interoperability through ONNX. Some common use cases of ML.NET are scenarios like Sentiment Analysis, Recommendations, Image Classification, Sales Forecast, etc. Please see our samples for more scenarios.

Today we’re announcing the release of ML.NET 0.10. (ML.NET 0.1 was released at //Build 2018). Note that ML.NET follows a semantic versioning pattern, so this preview version is 0.10. There will be additional versions such as 0.11 and 0.12 before we release v1.0.

This release focuses on the overall stability of the framework, continuing to refine the API, increase test coverage and as an strategic milestone, we have moved the IDataView components into a new and separated assembly under Microsoft.Data.DataView namespace so it will favor interoperability in the future.

The main highlights for this blog post are described below in further details:

IDataView as a shared type across libraries in the .NET ecosystem

Support for multiple ‘feature columns’ in recommendations (FFM based)

Additional updates in v0.10 timeframe

Explore the community samples and share yours!

Planning to go to production?

Get Started!

Click to expand...

Read more: Announcing ML.NET 0.10 - Machine Learning for .NET | .NET Blog

Windows 10: Announcing ML.NET 1.2 and Model Builder updates

Announcing ML.NET 1.2 and Model Builder updates

Announcing ML.NET 1.2 and Model Builder updates

Announcing ML.NET 1.2 and Model Builder updates

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