omarfsosa

import numpy as np

def neg_binomial_2_rng(mu, phi, size=None):
    """
    RNG for the negative binomial parametrised in terms
    of the mean and the precision.
    mean = mu
    variance = mu + (mu**2)/phi
    """
    tau = np.random.gamma(phi, mu/phi, size=size)

arthurattwell

#!/bin/bash
# That tells Linux to use a Bourne shell interpreter.

# Run this script from the current directory. (Required on OSX.)
cd -- "$(dirname "$0")"

# Don't echo these commands.
set +v

# Get the filename from the user.

mikelove

1) Download mosek from here:
https://www.mosek.com/downloads/
(I downloaded this to my ~/bin)

cd ~/bin
tar -xvf mosektoolslinux64x86.tar.bz2

2) Add this to your ~/.bashrc
export PATH=$PATH:/home/username/bin/mosek/8/tools/platform/linux64x86/bin

bmmalone

# Makefile
# 
# Converts Markdown to other formats (HTML, PDF) using Pandoc
# <http://johnmacfarlane.net/pandoc/>
#
# Run "make" (or "make all") to convert to all other formats
#
# Run "make clean" to delete converted files
#
# Adapted from: https://gist.github.com/kristopherjohnson/7466917

ctufts

plot_df <-df %>% group_by(feature) %>%
  do(
    plots = ggplot(data = .) + aes(x = xcol, y = ycol) +
      geom_point() + ggtitle(.$feature)
  )

# show plots
plot_df$plots

mblondel

"""
License: BSD
Author: Mathieu Blondel

Implements three algorithms for projecting a vector onto the simplex: sort, pivot and bisection.

For details and references, see the following paper:

Large-scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex
Mathieu Blondel, Akinori Fujino, and Naonori Ueda.

rochacbruno

#!/usr/bin/env python

# Haversine formula example in Python
# Author: Wayne Dyck

import math

def distance(origin, destination):
    lat1, lon1 = origin
    lat2, lon2 = destination