# In[31]:

# !zip -r a2_m2.json.zip a2_m2.json
get_ipython().system(u'zip -r a2_m3.json.zip a2_m3.json')

# In[32]:

# !base64 a2_m2.json.zip > a2_m2.json.zip.base64
get_ipython().system(u'base64 a2_m3.json.zip > a2_m3.json.zip.base64')

# In[33]:

# from rklib import submit
# key = "J3sDL2J8EeiaXhILFWw2-g"
# part = "G4P6f"
# email = "*****@*****.**"
# secret = "CxRRKZe6sxGgnCgW"

# with open('a2_m2.json.zip.base64', 'r') as myfile:
#     data=myfile.read()
# submit(email, secret, key, part, [part], data)
from rklib import submit
key = "pPfm62VXEeiJOBL0dhxPkA"
part = "EOTMs"
email = "*****@*****.**"
secret = "F1cVYOf6C0PqgRjb"

with open('a2_m3.json.zip.base64', 'r') as myfile:
    data = myfile.read()
submit(email, secret, key, part, [part], data)
Beispiel #2
0
# ### Submission

# In[26]:


get_ipython().system(u'rm -f rklib.py')
get_ipython().system(u'wget https://raw.githubusercontent.com/romeokienzler/developerWorks/master/coursera/ai/rklib.py')


# In[27]:


from rklib import submit
key = "esRk7vn-Eeej-BLTuYzd0g"


email = "###"


#email = "*****@*****.**"


# In[28]:


part = "fUxc8"
secret = "JaQYI3u6xxUchlyv"
#secret = "NsA8luVRH42Ckh9n"
submit(email, secret, key, part, [part], script)

prediction.write.json('a2_m4.json')

# In[24]:

get_ipython().system('rm -f rklib.py')
get_ipython().system(
    'wget wget https://raw.githubusercontent.com/IBM/coursera/master/rklib.py')

# In[25]:

from rklib import zipit
zipit('a2_m4.json.zip', 'a2_m4.json')

# In[26]:

get_ipython().system('base64 a2_m4.json.zip > a2_m4.json.zip.base64')

# In[28]:

from rklib import submit
key = "-fBiYHYDEeiR4QqiFhAvkA"
part = "IjtJk"
email = "*****@*****.**"
submission_token = "IkYeB4tVD3IgGs9f"

with open('a2_m4.json.zip.base64', 'r') as myfile:
    data = myfile.read()
submit(email, submission_token, key, part, [part], data)

# In[ ]:
prog = dml(script).output('res')
res = ml.execute(prog).get('res')
print(res)

# If everything runs fine you should get *6252492444241.075* as result (or something in that bullpark). Feel free to submit your DML script to the grader now!
#
# ### Submission

# In[12]:

get_ipython().system('rm -f rklib.py')
get_ipython().system(
    'wget https://raw.githubusercontent.com/romeokienzler/developerWorks/master/coursera/ai/rklib.py'
)

# In[13]:

from rklib import submit

key = "esRk7vn-Eeej-BLTuYzd0g"

email = "*****@*****.**"

# In[14]:

part = "fUxc8"
token = "nQNm0YAQHWcn1nId"  #you can obtain it from the grader page on Coursera (have a look here if you need more information on how to obtain the token https://youtu.be/GcDo0Rwe06U?t=276)
submit(email, token, key, part, [part], script)

# In[ ]: