I am using sklearn.svm.svc from scikit-learn to do binary classification. I am using its predict_proba() function to get probability estimates. Can anyone tell me how predict_proba() internally calculates the probability?
I’m coming across something that is almost certainly a stupid mistake on my part, but I can’t seem to figure out what’s going on.
I wrote the following function in order to implement my own binary search
I need to create a NumPy array of length n, each element of which is v.
Coming from a Java background, I understand that __str__ is something like a Python version of toString (while I do realize that Python is the older language). So, I have defined a little class along with an __str__ method as follows: class Node: def __init__(self, id): self.id = id self.neighbours = [] self.distance = 0 … Read more
I am using PyQt4, and I am trying to create a collapsible box where it will contains a couple of child widgets where the child widgets are already created and layout using a QVboxLayout
I would like to add a column ‘D’ to a dataframe like this: U,L 111,en 112,en 112,es 113,es 113,ja 113,zh 114,es based on the following Dictionary: d = {112: 'en', 113: 'es', 114: 'es', 111: 'en'} so that the resulting dataframe appears as: U,L,D 111,en,en 112,en,en 112,es,en 113,es,es 113,ja,es 113,zh,es 114,es,es So far I tried … Read more
Assume the following word sequence
I have a csv file containing numerical values such as 1524.449677. There are always exactly 6 decimal places.
I have an application, written in Python, which is used by a fairly technical audience (scientists).