During the past week, I run into a few problems. I kept getting a\u00a0PendingDeprecationWarning coming from one the methods used from Scikit Learn. It seems that something has changed or is currently changing on Numpy that affects Scikit learn modules. For now, I was able to ignore the warning. However, I will look more into it to make sure that the warning won’t become a bigger problem in the future.<\/p>\n
I was able to find a Scikit wrapper for TSVM, and I tried implementing it. I am currently getting an error coming from the implementation of the TSVM. I suspect it is due to being written for Python 2. I will make the necessary changes so I can use with the current version of Python. For example, it uses\u00a0xrange() instead of range(). I believe that once I make the necessary changes, the TSVM should work as suspected.<\/p>\n
Moreover, the Blogs corpus was too big to be imported as CSV on Google Sheets. So I am currently implementing a simple script which will randomly create a smaller sample, which I will manually label afterward.<\/p>\n","protected":false},"excerpt":{"rendered":"