ddofer

"""
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

ddofer

#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

ddofer

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)

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: