Zach Guo zachguo

zachguo / terminal-notifier.R

Last active December 26, 2015 04:19 — forked from aaronjgreenberg/terminal-notifier.py

	# "terminal-notifier" should be installed first

	notify <- function(msg="Operation complete") {

	in.osx <- (Sys.info()['sysname'] == "Darwin")
	in.rstudio <- (Sys.getenv("RSTUDIO") == "1")
	in.rgui <- (Sys.getenv("R_GUI_APP_REVISION") != "")

	if (in.rstudio) { # hack to see if running in RStudio
	title <- "RStudio"

zachguo / stopwords_mysql.txt

Last active December 28, 2015 01:59

zachguo / OLS.py

Created March 2, 2014 06:34

ordinary linear regression & print full results

	import pandas
	import statsmodels.api as sm
	import numpy as np

	def print_full(x):
	pandas.set_option('display.max_rows', len(x))
	print(x)
	pandas.reset_option('display.max_rows')

	dataframe = pandas.read_csv("turnstile_data_master_with_weather.csv")

zachguo / print_cm.py

Last active May 31, 2022 17:39

Pretty print for sklearn confusion matrix

	from sklearn.metrics import confusion_matrix

	def print_cm(cm, labels, hide_zeroes=False, hide_diagonal=False, hide_threshold=None):
	"""pretty print for confusion matrixes"""
	columnwidth = max([len(x) for x in labels]+[5]) # 5 is value length
	empty_cell = " " * columnwidth
	# Print header
	print " " + empty_cell,
	for label in labels:
	print "%{0}s".format(columnwidth) % label,

zachguo / states

Created July 11, 2014 06:33

internet use data for states

	# internet_rate is "Households with no internet use in and outside the home in 2010", gathered from http://www.ntia.doc.gov/files/ntia/data/CPS2010Tables/t11_2.txt
	STATES = {"AL":{"full_name":"ALABAMA",
	"geo_region":"South",
	"internet_rate":25.82},
	"AK":{"full_name":"ALASKA",
	"geo_region":"West",
	"internet_rate":11.36},
	"AS":{"full_name":"AMERICAN SAMOA",
	"geo_region":"Outer",
	"internet_rate":None},

zachguo / get_topic_features

Created July 22, 2014 22:18

Derive topic features from a text pandas series

	import pandas as pd
	from gensim import corpora, models

	def get_topic_features(col):
	"""Derive topic features from a text pandas series"""
	# generate topics for corpora
	colname = col.name
	col = col.astype(str).apply(lambda x:x.split())
	dictionary = corpora.Dictionary(col)
	corpus = [dictionary.doc2bow(text) for text in col]

zachguo / d3test.html

Created December 17, 2014 00:38

Meteor JS: Reactive D3 Force Layout Graph (minimum example)

	<head>
	<title>d3test</title>
	</head>

	<body>
	<h3>Meteor JS: Reactive D3 Force Layout Graph (minimum example)</h3>

	<h4>Add few nodes and links first, or visualization won't show up.</h4>
	<span>New Node</span>
	<form id="newnode">

zachguo / lr_feature_selection.py

Created February 24, 2015 23:03

LR feature selection and show support for selected features

	def feature_selection(X_train, y_train, X_test):
	feature_selector = LogisticRegression(C=0.1, penalty="l1", dual=False)
	X_train = feature_selector.fit_transform(X_train, y_train)
	X_test = feature_selector.transform(X_test)
	return X_train, X_test, feature_selector

	def get_support(feature_selector):
	return list(set(np.where(feature_selector.coef_ != 0)[-1]))