Hi, I have been using Python for machine learning research for time series data. I feel that I need to take another step to learn another and more performant programming language. In this sense, I found Julia and Swift for Tensorflow, which both seem to have a good foundation and promises to be an alternative for Python.
I started to learn Swift's interoperability with Python on Google Colab notebooks, using NumPy and Scikit-learn. The problem is that I didn't find how to access all the PythonObjects attributes. For example, assuming that I fit a LinearRegression on some randomly NumPy array:
var reg = lm.LinearRegression()
LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)
I would like to access the `reg`'s attributes but did not find how to do this.