http://blog.gmane.org/gmane.comp.security.openwall.john.user/month=20140601
error: No MPI compiler found john the ripper
brew install openssl
date | legislator_party | media_mes | cma | tma | bancada | soma | |
---|---|---|---|---|---|---|---|
2020-08-28 | AVANTE | 0.748039215686275 | 0.857352941176471 | 0.761019607843137 | 6 | 1916 | |
2020-08-28 | CIDADANIA | 0.717086834733894 | 0.775210084033614 | 0.697221988795518 | 8 | 2574 | |
2020-08-28 | DEM | 0.839740514790993 | 0.919870257395496 | 0.862903342104668 | 28 | 8380 | |
2020-08-28 | MDB | 0.879152406248459 | 0.939576203124229 | 0.884653145577298 | 35 | 10992 | |
2020-08-28 | NOVO | 0.705882352941177 | 0.852941176470588 | 0.782941176470588 | 8 | 3086 | |
2020-08-28 | PATRI | 0.958823529411765 | 0.979411764705882 | 0.956078431372549 | 6 | 1898 | |
2020-08-28 | PCdoB | 0.3203125 | 0.16015625 | 0.34015625 | 8 | 872 | |
2020-08-28 | PDT | 0.519899948827285 | 0.445820393581163 | 0.464454263280975 | 28 | 4494 | |
2020-08-28 | PL | 0.959809897304683 | 0.96767208153832 | 0.940172709158139 | 41 | 12792 |
n_random = 100 | |
params_grid <- expand.grid( | |
num_leaves = c(100, 200, 500, 1000, 2000, 5000), | |
learning_rate = c(0.01, 0.03, 0.1), | |
min_data_in_leaf = c(5, 10,20, 50), | |
feature_fraction = c(0.6, 0.8, 1), | |
bagging_fraction = c(0.4, 0.6, 0.8, 1), | |
lambda_l1 = c(0.0, 0.0, 0.01, 0.1, 0.3), | |
lambda_l2 = c(0.0, 0.0, 0.01, 0.1, 0.3) |
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acerca | |
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agora | |
ainda | |
alem | |
algmas | |
algo | |
algumas | |
alguns |
words | |
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agora | |
ainda | |
alguém | |
algum | |
alguma | |
algumas | |
alguns |
word | |
de | |
a | |
o | |
que | |
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da | |
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http://blog.gmane.org/gmane.comp.security.openwall.john.user/month=20140601
error: No MPI compiler found john the ripper
brew install openssl
#Instalar e carregar pacotes de interesse | |
install.packages('RSelenium') | |
require('RSelenium') | |
require('XML') | |
#Atualiza seu aplicativo Java do Selenium | |
RSelenium::checkForServer() | |
#Abrir o servidor local | |
RSelenium::startServer() | |
remDr <- remoteDriver() |
// Define functions to render linked interactive plots using d3. | |
// Another script should define e.g. | |
// <script> | |
// var plot = new animint("#plot","path/to/plot.json"); | |
// </script> | |
// Constructor for animint Object. | |
var animint = function (to_select, json_file) { | |
function wait_until_then(timeout, condFun, readyFun) { | |
function checkFun() { |
# boxplot: box-and-whisker plot, the data is broken up into quartiles: the box contains the middle 50% of the Ct values for each gene, the black bar is the median, the whiskers represent the top and bottom 25% of the observations. Circles represent outliers. | |
# standard error (of the sample mean): THINK ACCURACY - THE SD OF THE sample mean (x_bar), it describes the accuracy of the sample mean as an estimate of the population mean. an estimate of how close is my sample mean to the population mean (should decrease by increasing sample size): standard error of the mean (i.e., of using the sample mean as a method of estimating the population mean) is the standard deviation of those sample means over all possible samples (of a given size) drawn from the population. | |
The sample mean has 95% prob of being within 2 se of the pop mean | |
# standard deviation (of the sample): THINK VARIABILITY - DESCRIBES THE SPREAD OF VALUES IN THE SAMPLE: how much do the individuals within the sample differ from the sample mean (unaf |
# Generate data in the form of a sine wave | |
set.seed(1) | |
n <- 1e3 | |
dat <- data.frame( | |
x = 1:n, | |
y = sin(seq(0, 5*pi, length.out = n)) + rnorm(n=n, mean = 0, sd=0.1) | |
) | |
approxData <- data.frame( | |
with(dat, |