# If you implemented all the steps correctly, your algorithm should converge in about 20 iterations. Let's plot the clusters to see it. We will assign a cluster label as the most probable cluster index. This can be found using matrix $\gamma$ computed on last E-step.
#
# In[19]:
gamma = E_step(X, best_pi, best_mu, best_sigma)
labels = gamma.argmax(1)
plt.scatter(X[:, 0], X[:, 1], c=labels, s=30)
plt.axis('equal')
plt.show()
# ### Authorization & Submission
# To submit assignment parts to Cousera platform, please, enter your e-mail and your token into variables below. You can generate the token on this programming assignment page. <b>Note:</b> Token expires 30 minutes after generation.
# In[ ]:
STUDENT_EMAIL = # EMAIL HERE
STUDENT_TOKEN = # TOKEN HERE
grader.status()
# If you want to submit these answers, run cell below
# In[ ]:
grader.submit(STUDENT_EMAIL, STUDENT_TOKEN)
filtered_trans = transactions[transactions.shop_id == shop_id]
filtered_trans = filtered_trans[filtered_trans.date.str.endswith('12.2014')]
filtered_trans = filtered_trans.groupby('date')['item_cnt_day'].sum()
total_num_items_sold = filtered_trans.values
days = filtered_trans.index.to_datetime()
# Plot it
plt.plot(days, total_num_items_sold)
plt.ylabel('Num items')
plt.xlabel('Day')
plt.title("Daily revenue for shop_id = 25")
plt.show()
total_num_items_sold_var = filtered_trans.var()
grader.submit_tag('total_num_items_sold_var', total_num_items_sold_var)
# ## Authorization & Submission
# To submit assignment to Cousera platform, please, enter your e-mail and token into the variables below. You can generate token on the programming assignment page. *Note:* Token expires 30 minutes after generation.
# In[24]:
STUDENT_EMAIL = ''
STUDENT_TOKEN = ''
grader.status()
# In[25]:
grader.submit(STUDENT_EMAIL, STUDENT_TOKEN)
# Well done! :)
prepared_test_data = ######### YOUR CODE HERE #############
for line in open(prepared_test_data):
q, *ex = line.strip().split('\t')
ranks = rank_candidates(q, ex, starspace_embeddings, 100)
ranked_candidates = [r[0] for r in ranks]
starspace_ranks_results.append([ranked_candidates.index(i) + 1 for i in range(len(ranked_candidates))])
grader.submit_tag('StarSpaceRanks', matrix_to_string(starspace_ranks_results))
# Please, **don't remove** the file with these embeddings because you will need them in the final project.
# ### Authorization & Submission
# To submit assignment parts to Cousera platform, please, enter your e-mail and token into variables below. You can generate token on this programming assignment page. <b>Note:</b> Token expires 30 minutes after generation.
# In[ ]:
STUDENT_EMAIL = # EMAIL
STUDENT_TOKEN = # TOKEN
grader.status()
# If you want to submit these answers, run cell below
# In[ ]:
grader.submit(STUDENT_EMAIL, STUDENT_TOKEN)
