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hrbrmstr / orig.png

Last active July 16, 2023 06:43

Supreme Annotations - moar splainin here: http://rud.is/b/2016/03/16/supreme-annotations/ - NOTE: this requires the github version of ggplot2

zacstewart / classifier.py

Last active September 19, 2024 23:56

Document Classification with scikit-learn

	import os
	import numpy
	from pandas import DataFrame
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn.naive_bayes import MultinomialNB
	from sklearn.pipeline import Pipeline
	from sklearn.cross_validation import KFold
	from sklearn.metrics import confusion_matrix, f1_score

	NEWLINE = '\n'

jedifran / lsos.R

Created December 8, 2011 15:45 — forked from cboettig/lsos.R

List data size of objects in R

	## Credit: Taken from: http://stackoverflow.com/questions/1358003/tricks-to-manage-the-available-memory-in-an-r-session
	# improved list of objects
	.ls.objects <- function (pos = 1, pattern, order.by,
	decreasing=FALSE, head=FALSE, n=5) {
	napply <- function(names, fn) sapply(names, function(x)
	fn(get(x, pos = pos)))
	names <- ls(pos = pos, pattern = pattern)
	obj.class <- napply(names, function(x) as.character(class(x))[1])
	obj.mode <- napply(names, mode)
	obj.type <- ifelse(is.na(obj.class), obj.mode, obj.class)