exter | identity gateway that allows application | Authentication library

Awk can do what you want.

If i understand your question correctly, passing data does not make sense in this context. The default acquisition function will select the next input (or experiment) based on the your model. Your model is updated at each iteration from the outcome of your experiment and the next experiment is dependent on previous observations - it's not random. Passing your samples independently of this loop would be significantly less informative.

In short, you need to define a function similar to np.sin that can be queried.

Hope this makes sense!

Using RealmConfiguration.Builder#initialData() you can insert initial data to the database.

To access native methods, you still must call System.LoadLibrary(). The spec explains that your Driver.java should look contain:

You will not have any performance issue by mapping it to another DTO, go for it! :) It's somewhat of a best practice to map to your own models that you control and return from your API. Do something like this:

Check metrics server pod running in your kube-system namespace. or else you can use this.

This code worked for me.

You will need to either rename your classes to specialise them by their name (which is what you are doing at runtime), or else alias them on import and write a map:

Finally I reach my objective, and I'm Working with Eigen in Android. If you are triying to use Eigen library in Android, I hope this help you:

1. Download Eigen library from the official site.
2. Copy Eigen folder inside the zip you have downloaded in which are all the headers (.h files) of the library and paste it on one folder of your choice in the project. For example, i did it in:

   ../app/src/main/cpp

3. Edit CMakeLists.txt, adding this line with the path of the Eigen folder inside your project: include_directories(src/main/cpp/Eigen)
4. Launch the App in a real device (not working on emulator) to load the Eigen header files in it.

5. Include in your cpp file the Eigen headers and work with them normally. For example:

   #include "Eigen/Dense" void multiply2Matrices(){ Eigen::MatrixXd M(2,2); Eigen::MatrixXd V(2,2); for (int i = 0; i<=1; i++){ for (int j = 0; j<=1; j++){ M(i,j) = 1; V(i,j) = 2; } } Eigen::MatrixXd Result = M*V; }

In my case, I didn't have to compile anything, jus use the header files of official Eigen library