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class Stack:
def __init__(self):
self.items = []
def isEmpty(self):
return self.items == []
def push(self, item):
self.items.append(item)
def pop(self):
return self.items.pop()
def peek(self):
# A toy example to illustrate @chi-square question
# http://stats.stackexchange.com/questions/604/discriminant-analysis
#
# The basic idea is to fit a given model and then reuse the fitted values
# as new values to predict to check if: (1) parameters estimates remain
# identical, and (2) rough measure of goodness-of-fit increase.
#
set.seed(101)
# Time-stamp: <2010-08-10 11:51:15 chl>
#
# Illustration of LASSO penalization in multiple regression.
#
# The exemple is largely inspired from Harezlak, Tchetgen
# and Li, Variable selection in regression -- Estimation,
# Prediction, Sparsity, Inference,
# in _High-Dimensional Data Analysis in Cancer Research_
# (Ed. X. Li and R. Xu), Chapter 2, pp. 13--33.
# Time-stamp: <2010-08-09 12:10:54 chl>
#
# Some illustrations of splines fitting.
#
# The example used throughout this script comes from
# Kooperberg & LeBlanc, Multivariate Nonparametric Regression,
# in _High-Dimensional Data Analysis in Cancer Research_
# (Ed. X. Li and R. Xu), Chapter 3, p. 45.
#
#!/bin/bash
GIST_RECV_URL=http://gist.github.com/%s.txt;
GIST_POST_URL=http://gist.github.com/gists;
GIST_DEL_URL=http://gist.github.com/delete;
GIST_DESC_URL=http://gist.github.com/gists/%s/update_description;
GITHUB_USER=`git config --global github.user | tr -d \\n`;
GITHUB_TOKEN=`git config --global github.token | tr -d \\n`;
GETINDEX="gistfile1";