ibayer

## bench_enet_warm_start.py
"""
Benchmarks of enet_coordinate_descent vs. enet_coordinate_descent
using the true solution as warm-start

First, we fix a training set and increase the number of
samples. Then we plot the computation time as function of
the number of samples.

In the second benchmark, we increase the number of dimensions of the
training set. Then we plot the computation time as function of

## gist:4413746
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## numba_dot
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## little.cpp
#include <iostream>
#include "../fastFM/fastfm.h"

using namespace std;

using namespace fastfm;

int main(int argc, char** argv) {

    cout << endl << "[ii] Little test" << endl;

## popup.html
<!DOCTYPE html>

<html xmlns="http://www.w3.org/1999/xhtml">

<head>

<meta charset="utf-8" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
	"""
	Benchmarks of enet_coordinate_descent vs. enet_coordinate_descent
	using the true solution as warm-start

	First, we fix a training set and increase the number of
	samples. Then we plot the computation time as function of
	the number of samples.

	In the second benchmark, we increase the number of dimensions of the
	training set. Then we plot the computation time as function of
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	#include <iostream>
	#include "../fastFM/fastfm.h"

	using namespace std;

	using namespace fastfm;

	int main(int argc, char** argv) {

	cout << endl << "[ii] Little test" << endl;