Dan Ofer ddofer

Get my forked tensorflow graphics repo and switch to appropriate branch

git clone https://github.com/jackd/graphics.git
cd graphics
git checkout sparse-feastnet
pip install -e .
cd ..

Get this gist:

	import pandas as pd

	# read wikipedia html table with info on all elemetns, including symbols, names, properties:
	df_base = pd.read_html("https://en.wikipedia.org/wiki/List_of_chemical_elements")[0]
	element_full_names = df_base["List of chemical elements"]["Element"][:-1] # last row is comments

	element_full_names =list(element_full_names.apply(lambda x: x[0],axis=1).values) # get individual names out of wrapped list format

	# element_full_names.to_csv("names_of_elements.csv",index=False)

	#LABS
	#get most frequent lab tests, for distinct patients.

	#Filter for distinct by user:

	# data.labs = as.data.frame(data.labs)
	# data.labs.userDistinct = subset(as.data.table(data.labs),select=c("guid_tz","kod_bdika")) #ORIG
	# data.labs.userDistinct= unique(data.labs.userDistinct) #ORIG

	data.labs.userDistinct= unique(data.labs,by="guid_tz") #changed

	"""
	A deep neural network with or w/o dropout in one file.

	License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
	"""

	import numpy, theano, sys, math
	from theano import tensor as T
	from theano import shared
	from theano.tensor.shared_randomstreams import RandomStreams