How to one hot encode variant length features?
Given a list of variant length features:
Given a list of variant length features:
I want to find string similarity between two strings. en.wikipedia has examples of some of them. code.google has a Python implementation of Levenshtein distance.
Is there a better algorithm, (and hopefully a Python library), under these constraints:
I realized that when I write into a file using python it wait until the end of my Python file to execute it:
How do I convert data from a Scikit-learn Bunch object to a Pandas DataFrame?
I have a defaultdict that looks like this:
i am learning Cython and now experimenting with it. I tried the basic cdef class sample program and it works perfectly.
I’m trying to multiply each of the terms in a 2D array by the corresponding terms in a 1D array. This is very easy if I want to multiply every column by the 1D array, as shown in the numpy.multiply function. But I want to do the opposite, multiply each term in the row.
In other words I want to multiply:
I use Django1.7 with Mezzanine. I create simple profile (according to Mezzanine documentation) stored in separate app “profiles”:
I must be missing something trivial with SQLAlchemy’s cascade options because I cannot get a simple cascade delete to operate correctly — if a parent element is a deleted, the children persist, with null foreign keys.
I am trying to make a tic tak toe game with pygame and I was wondering how would I do the logic here is what I have so far. VIDEO < I only have it when I click on the middle button it will display the player 2 x on the screen and then the image that is hovering over my mouse will turn into O for player 1 turn to go BUT my question is how would I do the logic like if player 1 gets 3 in a row or player 2 gets 3 across in a row I am really confused on this and I need someone to walk me throw it