Corey Lynch coreylynch

## profile.sh
# /bin/sh

# Setup
datfile=$(mktemp)
echo "ElapsedTime MemUsed" > $datfile

starttime=$(date +%s.%N)

# Run the specified command in the background
$@ &

## get_lat_lon_exif_pil.py
from PIL import Image
from PIL.ExifTags import TAGS, GPSTAGS

def get_exif_data(image):
    """Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
    exif_data = {}
    info = image._getexif()
    if info:
        for tag, value in info.items():
            decoded = TAGS.get(tag, tag)

## bench_rcv1.py
"""
Benchmark sklearn's SGDClassifier on RCV1-ccat dataset.

So generate the input files see http://leon.bottou.org/projects/sgd .

Results
-------
ACC: 0.9479
AUC: 0.9476

## bench_rocsgd.py
import itertools

import numpy as np

from sklearn.linear_model import SGDClassifier, SGDRanking
from sklearn import metrics
from minirank.compat import RankSVM as MinirankSVM
from scipy import stats
	# /bin/sh

	# Setup
	datfile=$(mktemp)
	echo "ElapsedTime MemUsed" > $datfile

	starttime=$(date +%s.%N)

	# Run the specified command in the background
	$@ &
	from PIL import Image
	from PIL.ExifTags import TAGS, GPSTAGS

	def get_exif_data(image):
	"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
	exif_data = {}
	info = image._getexif()
	if info:
	for tag, value in info.items():
	decoded = TAGS.get(tag, tag)
	"""
	Benchmark sklearn's SGDClassifier on RCV1-ccat dataset.

	So generate the input files see http://leon.bottou.org/projects/sgd .

	Results
	-------
	ACC: 0.9479
	AUC: 0.9476
	import itertools

	import numpy as np

	from sklearn.linear_model import SGDClassifier, SGDRanking
	from sklearn import metrics
	from minirank.compat import RankSVM as MinirankSVM
	from scipy import stats