I want to create a gaming environment which can move a robot in the path specified
Is there a way to use any simulator to create such environment that can be integrated with gym ?
Related
I want to build a multi-agent RL environment from scratch and then want to use Deep Q learning to solve the environment. Can anyone suggest what should be the pipeline?
I'm familiar with the OpenAi gym custom environment.
How can I provide different models in support of a/b testing with ML Kit?
I'm looking at the implementation path for ML Kit and I'm a little concerned because I don't see any description of support for multiple models. I need to support A/B tests with my models.
My planned workflow:
build a "default model" that everyone can use.
retrain the model as input comes in from the user base. update the model on a schedule.
allow a/b testing for using/not using the model, and comparing different models to decide a progression.
users download the model, possibly converting to CoreML ?, and running it locally as needed.
Your workflow is supported using Firebase Remote Config and A/B testing. Here is how you'd go about it:
Publish your TFLite models in ML Kit, via the Firebase console. Give each model a unique name.
When loading the remote model in the app, use Remote Config to dynamically switch the model name via the Firebase console instead of hardcoding the model name.
You can use A/B testing in combination with Remote Config, to set a different value for the config variable (i.e. each different will be the name of the different model you have published)
I have deployed a regression model on azure ML , is it possible to get the model weights/coefficients of the model programatically from azure, rather than getting predicted value? .
I think you can do so, in your training experiment add an output to your evaluate model module then select deploy webservice right away without going through the predictive experiment option.
Once You publish and click the TEST button You should the values as below
No. Currently we do not feature exporting weights from the models including with Azure Machine Learning.
If you have a method for extracting weights from Python models, you may be able to work this out using the execute Python Script module.
The primary purpose of Azure Machine Learning is to make deployable and scalable web services from the machine learning modules. Though the authoring experience for creating ML models is great, it is not intended to be a place to create and export models, but instead a place to create and operationalize your models.
UPDATE New features may make this answer outdated.
I am wondering to using Neural Network frameworks on Windows Phone 8. I am searching on google but I can not found illustrative information. Is it possible ? Can using like a Aforge or another frameworks.
Thanks in advance. (sorry my language)
Both the AForge.NET Framework and its "extension" Accord.NET Framework have been adapted to Portable Class Libraries. All functionality related to neural networks, machine learning etc. that are contained in the original frameworks have been ported to their PCL analogues.
The PCL libraries target the following platforms:
Windows 8 and higher (formerly known as Metro or Windows Store apps)
Windows Phone (Silverlight) 8 and higher
.NET Framework 4.5 and higher
(When used in .NET, the libraries enable the ability to create WPF applications independent of System.Drawing and System.Windows.Forms assemblies, but that's another story :-)
The portable frameworks are available on Github:
Portable AForge.NET Framework
Portable Accord.NET Framework
We are having an application where we want to use Adobe AIR application to communicate with Plotter hardware which is currently used for cutting the clothing material according to given inputs.Currently the software used for same is called Lectra which is the SW from plotter company.This SW is also used for designing purpose.
Now we want to create our own SW with our needs and want to know how we can communicate with Plotter to cut the material using our software.
Does anybody has used Actionscript with plotter like cutters/printers? Is there any other utility which can be used through air app and communicated with plotter?
Any pointers in right directions are appreciated.
In Windows Enviroment
you can use c/c++ or visual c++ and make one executable file which have all functionality like communication with you hardware, giving input to it, taking response from it ETC. after making this .exe file you can directly communicate with this .exe file using socket connection.
detail description of socket communication with air giving in its Documentation and other tutorial are also available
may this will help you...