sjs7007

#https://stat.ethz.ch/R-manual/R-devel/library/cluster/html/silhouette.html
# install.packages("cluster") # for silhouette
# install.packages("Rmisc")
library(ggplot2)
library(cluster)
library(Rmisc)
#library(cluster)
library(fpc)
library(rgl)

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import urllib2
def getTimings(stopName,stopUrl,waitUrl):
    pageHtml = urllib2.urlopen(stopUrl).read()
    startPos = pageHtml.find(waitUrl)+len(waitUrl)
    endPos = pageHtml.find('<ab',startPos)
    print(stopName,pageHtml[startPos:endPos]),

getTimings('Ra','http://ufl.transloc.com/t/stops/4093246','<td class="wait_time time_1" width="110px"><a href="/t/routes/4001170" title="View all of Butler Plaza">')

#getTimings('Re','http://ufl.transloc.com/t/stops/4091138','<td class="wait_time time_1" width="110px"><a href="/t/routes/4001170" title="View all of Butler Plaza">')

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b0="$(upower -i /org/freedesktop/UPower/devices/battery_BAT0| grep -E "percentage"  | awk '{print $2}' | sed 's/.$//')" 
b1="$(upower -i /org/freedesktop/UPower/devices/battery_BAT1| grep -E "percentage"  | awk '{print $2}' | sed 's/.$//')" 
d1="$(date)"
d0="$(date | awk '{print $4}')"
echo "$b0, $b1, $d0, $d1"

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Instructions are based on this link as base source. I have given modified instructions for steps which didn't work for me.

Installing dependencies

tensorflow

 sudo apt-get install pkg-config zip g++ zlib1g-dev unzip swig git

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'''
Distributed Tensorflow example of using data parallelism and share model parameters.
Trains a simple sigmoid neural network on mnist for 20 epochs on three machines using one parameter server. 

Change the hardcoded host urls below with your own hosts. 
Run like this: 

pc-01$ python example.py --job-name="ps" --task_index=0 
pc-02$ python example.py --job-name="worker" --task_index=0 
pc-03$ python example.py --job-name="worker" --task_index=1 

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#Set the base image to Ubuntu
FROM rashmitiwari1990/uf:nvidia_caffe_s3lab_v1

#File Author / Mainetainer
MAINTAINER Maintainer S3LabUF

# Update the sources list
RUN apt-get update

#Install Python modules needed

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/uploadCompleteScript:
    post:
      tags:
        - MNIST
      description: >-
        Allows user to upload the [MNIST
        dataset](https://drive.google.com/open?id=0B-HwpreJA3WzbnZodkJZVWNfUTg)
        and get a trained model based on the parameters specified. Description
        about the dataset can be found
        [here](http://yann.lecun.com/exdb/mnist/).