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datatypes <- function(dataframe){ | |
types <- split(names(dataframe),sapply(dataframe, function(x) paste(class(x), collapse=" "))) | |
return(types) | |
} | |
factor_cols <- c() | |
raw_data[,factor_cols] <- lapply(raw_data[,factor_cols], | |
function(x) factor(x)) |
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get_metrics <- function(model, test_data, truth, table = FALSE){ | |
preds <- predict(model, test_data); | |
table_ <- table(truth, preds); | |
acc_ <- sum(diag(table_))/sum(table_); | |
rec_ <- table_[2,2]/sum(table_[,2]); | |
prec_ <- table_[2,2]/sum(table_[2,]); | |
f_ <- 2*rec_*prec_/(rec_+prec_) | |
if (table == FALSE){ | |
cat('Accuracy:', acc_, '\nRecall:', rec_, '\nPrecision:', prec_, '\nF-Score:', f_); | |
} else { |
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test_train_split <- function(data, train_frac = 0.66){ | |
library(caret) | |
inTrain <- createDataPartition(1:nrow(data), p = train_frac, list = FALSE) | |
training <- data[inTrain,] | |
testing <- data[-inTrain,] | |
return(list(train = training, test = testing)) | |
} |
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## arrow up | |
"\e[A":history-search-backward | |
## arrow down | |
"\e[B":history-search-forward |
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import matplotlib.pyplot as plt | |
plt.rcParams['figure.figsize'] = 5, 10 | |
%matplotlib inline |
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######################################## | |
'''Simple Bar Chart''' | |
x_axis=['a','b','c'] | |
y_axis=[10,12,11] | |
fig, ax = plt.subplots(figsize=(20, 8)) | |
ax.set_xticks(range(len(x_axis))) | |
ax.bar(range(len(x_axis)), y_axis, align='center') | |
ax.set_xticklabels(x_axis, rotation='vertical') |
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map h :help | |
let mapleader = ',' | |
let blacklists = ["https://vim-adventures.com/*","http://localhost/*","https://youtube.com/*","http://www.kongregate.com/*"] | |
map <Leader>e :tabopen chrome://extensions<CR> | |
map <Leader>E :tabopen https://chrome.google.com/webstore/category/extensions?hl=en<CR> | |
map <Leader>H :tabopen chrome://history<CR> | |
map <Leader>gg :tabopen https://gist.github.com/sizhky/6ce05580f394742fcd45c4bf1f5c18d6<CR> | |
map <Leader>s :tabopen chrome://settings<CR> | |
" let searchalias g = "google" | |
map <Leader>m :tabopen https://mail.google.com/mail/#index<CR> |
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set number |
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.container { width:97.5% !important; } | |
~/.jupyter/custom/custom.css | |
https://stackoverflow.com/questions/21971449/how-do-i-increase-the-cell-width-of-the-jupyter-ipython-notebook-in-my-browser |
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trace(utils:::unpackPkgZip, edit=TRUE) |
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