Training Machine Learning models with ML.NET

The Discussion

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  scenarios that ML.NET and its family of tools enables. They talk about training models, AutoML, the ML.NET CLI, and even a Visual Studio Extension for training models!

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  can we use it using vb.net ?

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  I am using Microsoft SQL 2016 to get the required data for ML and then using binary classification to train model and doing predictions.
  I want to how to automate the process to train model biweekly on the new data from microsoft sql 2016,
  Is there any pipeline which can be used? Or I need to do this manually generate the zip file and consume at the application end?

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  can we use it using vb.net ?

  
  
  @adi:
  
  Yeah it works with .NET languages... C sharp, VB.NET and F sharp

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  @adi:
  
  Yes! You can check out some ML.NET VB samples from the community here: https://github.com/Nukepayload2/machinelearning-samples/tree/master/samples/visualbasic

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  @Dipti:
  
  You can directly train an ML.NET model against data in a relational database such as SQL Server.
  In the current GA version you can do that through the LoadFromEnumerable() API. you can see an example of it here: https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started/DatabaseIntegration
  
  However, next week (early September) we're going to release an even simpler Relational Database Loader, so this new Database Loader provides a much simpler code implementation for you since the way it reads from the database and makes data available through the IDataView is provided out-of-the-box by the ML.NET framework so you just need to specify your database connection string, what’s the SQL statement for the dataset columns and what’s the data-class to use when loading the data. It is that simple!
  
  Stay tuned and check out this new feature later this week.
  
  And by the way, I'm interested on your SQL Server scenario about "how to automate the database process to train model biweekly". Can you send me an email to cesardl at microsoft.com so we can help you out and you provide feedback as well? :)
  
  

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  Thanks for the update, I sent you an email with the scenario

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  Hi!
  @briacht
  Could you please help me to understand whether or not it is possible to train DNN from scratch without any Transfer using ML.NET? In our scenario we have hyperspectral images from plants and the DNN exsample only gives very poor classification results.
  Thynk you!
  Jan

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  Hi @jahu,
  
  Our current Image Classification does not support model retrain, i.e it only trains the last layer. With in the next month we plan to add the capability to also fine tune the model by allowing re-train of layers. In the meantime can I please get a link to your dataset so that I can start testing it on my side? please provide train and validation set and the anticipated accuracy, on this note have you trained this with another framework where you were getting better accuracy?
  
  Thanks,
  Zeeshan Siddiqui

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  @Zeeshan Siddiqui:
  
  Hi @Zeeshan!
  Can we comunicate on a private track?
  
  Thanks!
  Jan
  
  

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  Hi Jan,
  
  Yes, does chatting on dotnet/machinelearning gitter channel(https://gitter.im/dotnet/mlnet) work? You can private message me there, my alias is codemzs on github/gitter.
  
  Thanks,
  Zeeshan Siddiqui

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  @Zeeshan Siddiqui:
  
  Hello Zeeshan,
  
  Does ML.NET support reinforcement learning? If so, are there any examples? If not, are there any plans to support this in the future?
  
  Thanks,
  Michael

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  A regression problem can be solved either with DNN or classical algorithms like linear regression..so can ml.net train a DNN model to predict regression results?