davidmpaz

[user]
        name = David Moises Paz Reyes
        email = [email protected]

[core]
        editor = vim
        autocrlf = input

[log]
        date = relative

davidmpaz

def logistic_regression(feature_matrix, sentiment, initial_coefficients, step_size, max_iter):
    coefficients = np.array(initial_coefficients) # make sure it's a numpy array
    for itr in xrange(max_iter):

        # Predict P(y_i = +1|x_i,w) using your predict_probability() function
        # YOUR CODE HERE
        predictions = predict_probability(feature_matrix, coefficients)
        
        # Compute indicator value for (y_i = +1)
        indicator = (sentiment==+1)

davidmpaz

#!/bin/bash

#
# Appends a message to every comit. Usefull for linking issues back
# from bug track systems.
#

# This way you can customize which branches should be skipped when
# apending commit message. 
if [ -z "$BRANCHES_TO_SKIP" ]; then

davidmpaz

#!/usr/bin/env python

"""
2020 update:
- More iterators, fewer lists
- Python 3 compatible
- Processes files in parallel
(one thread per CPU, but that's not really how it works)
"""