Yao-Yuan Yang

It's a package that implements active learning algorithms. Like scikit-learn implements various machine learning algorithms. The usage case should be pip install on your computer and import the implemented algorithms...

You can implement your model by inherit the libact.base.interfaces.ProbabilisticModel and implement its methods. You can take the example of logistic_regression here: [](https://github.com/ntucllab/libact/blob/master/libact/models/logistic_regression.py) Then you can pass in your implemented probabilistic...

Can you provide more detail on the code and the error message? It seems to me that when you declare the dataset object, you passed in something that can not...

I think for `model.predict_real(trn_ds)`, you should not pass in the Dataset object. You should pass in an array, for example `model.predict_real(trn_ds.get_entries()[0])`

Do you mean that you want to get the predicted probability of the queried example? I think you can try this, this will return an array with one value ```...

Maybe you should try things in this article. https://stackoverflow.com/questions/41078572/python-pip-package-installation-fails-with-fatal-error-limits-h-no-such-fil

@mlazarew can you find the limits.h header on your computer?

Can you try to add /usr/include/linux/ to your PATH If this did not work, try cloning the repository, add the path to include_dirs on line 29 https://github.com/ntucllab/libact/blob/master/setup.py#L29. Run `python setup.py...

Can you print out the error? Though I think the fastest way is to upgrade your compiler to 4.8+

you may have to install lapacke package I think you can try searching openblas or lapacke in your package list and see if it works.