Building workflows with the Durable Task Framework

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Start free todayML.NET allows .NET developers to easily build and also consume machine learning models in their NET applications.
In this episode, Bri Achtman joins Rich to show off some really interesting 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 ?
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?
Thanks for the update, I sent you an email with the scenario
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
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
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?
how to make data for Ml in .net core 3.1