Hi!
With the new changes In Machine Learning.Net with the 0.7.0 version, the ability to peek in the data while is processed in each step of the pipeline is a little more complicated. A while ago, explain how we could do this in the post [Understanding the step bystep of Hello World]. However, ML.Net now uses Lazy objects, so it is not possible to debug in this step-by-step mode.
One of the options that we have available, is detailed in the ML.Net Cookbook, in the section [How do I look at the intermediate data?] and a complete explanation can be read in [Schema comprehension in ML.NET]
Well, the machine Learning.Net team has created a series of operations that can help us with these scenarios in the class [https://github.com/dotnet/machinelearning-samples/blob/master/samples/csharp/common/ConsoleHelper.cs]. In the following example, based on the examples of my Machine Learning.Net sessions, I use these functions to display the first 4 rows of the initial data set and also to display the values created for the Features column
So far, it works đ
Happy Coding.
Greetings @ Microsoft IoT
El Bruno
References
- ML.Net Homepage
- Announcing ML.NET 0.7 (Machine Learning .NET)
- ML.Net Cookbook
- ML.Net Cookbook, How do I look at the intermediate data?
- ML.Net, Schema comprehension in ML.NET
My Posts
- New version 0.7 for Machine Learning.Net (the perfect excuse to update my content for next events!)
- Analyzing pipeline data in Machine Learning.Net using the new API 0.6.0 (thanks LINQ!)
- API improvements in the new 0.6.0 version
- Fix the error [System. InvalidOperationException, Entry Point â Not found] when you train a pipeline
- Adding NuGet Packages in Preview mode from MyGet, ie: Microsoft.ML-0.6.0 Version
- ML.Net 0.5 initial support for TensorFlow
- New version 0.4, news Improvements in Text analysis using Word Embedding
- Error âEntry point âTrainers.LightGbmClassifierâ not foundâ and how to fix it
- Machine Learning Glossary of terms
- Export Machine Learning.Net models to ONNX format
- Loading Data In our Learning Pipeline With List (Lists for ever!)
- Whatâs new in version 0.2.0
- What’s a Machine Learning model? A 7 minute video as the best possible explanation
- Write and Load models using Machine Learning .Net
- Understanding the step by step of Hello World
- Hello World in ML.Net, Machine Learning for .Net !
El Bruno 