def summary_final(self, show=True):
# an alias
subs = self.submissions
# sorted indices of the mean ranks
ranks = np.argsort([sub["ranking"] for sub in subs])
teams = [subs[rank]["submitterAlias"] for rank in ranks]
df = pd.DataFrame(index=teams, data=ranks, columns=["mean Rank"])
# finally the ranks
df["Team Name"] = [subs[rank]["submitterAlias"] for rank in ranks]
df["Team Id"] = [subs[rank]["userId"] for rank in ranks]
df["Submission Id"] = [subs[rank]["substatus"]["id"] for rank in ranks]
df["Entity Id"] = [subs[rank]["substatus"]["entityId"] for rank in ranks]
df["Mean Rank"] = [subs[rank]["ranking"] for rank in ranks]
df["Mean RMSE"] = [subs[rank]["mean_rmse"] for rank in ranks]
ranks = df["Mean Rank"].rank()
df["Final Rank"] = ranks.values
df = df.set_index("Final Rank")
df = df[["Team Name", u"Team Id", u"Submission Id", u"Entity Id", "Mean Rank", u"Mean RMSE"]]
ranks = np.argsort([sub["ranking"] for sub in subs])
if show is False:
return df
print(dataframe_towiki(df))
return df
def summary_final(self, show=True):
# an alias
subs = self.submissions
# sorted indices of the mean ranks
ranks = np.argsort([sub['ranking'] for sub in subs])
teams = [subs[rank]['submitterAlias'] for rank in ranks]
df = pd.DataFrame(index=teams, data=ranks, columns=['mean Rank'])
# finally the ranks
df['Team Name'] = [subs[rank]['submitterAlias'] for rank in ranks]
df['Team Id'] = [subs[rank]['userId'] for rank in ranks]
df['Submission Id'] = [subs[rank]['substatus']['id'] for rank in ranks]
df['Entity Id'] = [subs[rank]['substatus']['entityId'] for rank in ranks]
df['Mean Rank'] = [subs[rank]['ranking'] for rank in ranks]
df['Mean RMSE'] = [subs[rank]['mean_rmse'] for rank in ranks]
ranks = df['Mean Rank'].rank()
df['Final Rank'] = ranks.values
df = df.set_index('Final Rank')
df = df[['Team Name', u'Team Id', u'Submission Id',
u'Entity Id', 'Mean Rank', u'Mean RMSE']]
ranks = np.argsort([sub['ranking'] for sub in subs])
if show is False:
return df
print(dataframe_towiki(df))
return df
def summary_final(self, show=True):
# an alias
subs = self.submissions
# sorted indices of the mean ranks
ranks = np.argsort([sub['ranking'] for sub in subs])
teams = [subs[rank]['submitterAlias'] for rank in ranks]
df = pd.DataFrame(index=teams, data=ranks, columns=['mean Rank'])
# finally the ranks
df['Team Name'] = [subs[rank]['submitterAlias'] for rank in ranks]
df['Team Id'] = [subs[rank]['userId'] for rank in ranks]
df['Submission Id'] = [subs[rank]['substatus']['id'] for rank in ranks]
df['Entity Id'] = [subs[rank]['substatus']['entityId'] for rank in ranks]
df['Mean Rank'] = [subs[rank]['ranking'] for rank in ranks]
df['Mean RMSE'] = [subs[rank]['mean_rmse'] for rank in ranks]
ranks = df['Mean Rank'].rank()
df['Final Rank'] = ranks.values
df = df.set_index('Final Rank')
df = df[['Team Name', u'Team Id', u'Submission Id',
u'Entity Id', 'Mean Rank', u'Mean RMSE']]
ranks = np.argsort([sub['ranking'] for sub in subs])
if show is False:
return df
print(dataframe_towiki(df))
return df
def __str__(self):
df = self.get_ranking()
from dreamtools.core.wikitools import dataframe_towiki
print(dataframe_towiki(df))
def __str__(self):
df = self.get_ranking()
from dreamtools.core.wikitools import dataframe_towiki
print(dataframe_towiki(df))