BaxterEaves

-- This is the first thing I've ever written in Haskell by myself.
-- Be gentle.

import Data.List (genericLength)

type Assignment = [Int]

-- |Cluster data into k clusters
kmeans :: (Floating a, Ord a) => [[a]] -> Int -> Assignment
kmeans xs k = _kmeans xs $ nearestMeans xs (take k xs)

BaxterEaves

import numpy as np
import matplotlib.pyplot as plt


def pp_plot(f, p, nbins, ax=None):
    """ P-P plot of the empirical CDFs of values in two lists, f and p. """
    if ax is None:
        ax = plt.gca()

    uniqe_vals_f = list(set(f))

BaxterEaves

"""
Copyright (C) 2015 Baxter Eaves
License: Do what the fuck you want to public license (WTFPL) V2

Scrape abstracts from the Proceedings of the National Academy of Sciences.

Requires: beutifulsoup4
"""

import re

BaxterEaves

"""
Copyright (C) 2016 Baxter Eaves
License: Do what the fuck you want to public license (WTFPL) V2

Infinite Gaussian Mixture Model

Requires: numpy, scipy, matplotlib, seaborn, pandas
"""

import numpy as np

BaxterEaves

"""
Copyright (C) 2015 Baxter Eaves
License: Do what the fuck you want to public license (WTFPL) V2

Bayesian hierarchical clustering.

Heller, K. A., & Ghahramani, Z. (2005). Bayesian Hierarchical Clustering.
    Neuroscience, 6(section 2), 297–304. doi:10.1145/1102351.1102389
"""
import itertools as it

BaxterEaves

"""
Copyright (C) 2015 Baxter Eaves
License : WTFPL V2

Rejection sampler for the epistemic trust model of Shafto, Eaves, et al (2012)
"""


import random

BaxterEaves

"""
Copyright (C) 2015 Baxter Eaves
License: Do what the fuck you want to public license (WTFPL) V2

Collapsed Gibbs sampler for Latent Dirichlet Allocation.
"""

import matplotlib.pyplot as plt
import numpy as np
import random