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X = sparse.model.matrix(
    as.formula(
        paste("Hazard~", paste(colnames(ts.train), sep = "_", collapse=" +"))
    ), data = ts.train)

gerrich

# performance monitor
nvidia-smi -q -g 0 -d UTILIZATION -l

gerrich

yum install yum-utils

repoquery --list packagename

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#from http://thirld.com/blog/2014/11/30/visualizing-the-results-of-profiling-python-code/

pip install pyprof2calltree

#Profile your program as usual:
python -m cProfile -o prof.out mycode.py

#Then visualize the results in KCacheGrind:
pyprof2calltree -i prof.out -k

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#!/usr/bin/env node

process.stdin.resume();
process.stdin.setEncoding('utf8');
 
function line_reader(stream, call_back) {
  var remainder = '';
  stream.on('data', function (chunk) {
      var lines = chunk.toString().split('\n');
      lines.unshift(remainder + lines.shift());

gerrich

$ locale
LANG=en_US.UTF-8

$ cat file_in_cp1251 | vim --cmd ':set enc=cp1251' --cmd ':set tenc=utf8' -