def get_as_dataframe(cls,
find=Queries.X,
projection=Projections.all,
explode=True):
df = cls.to_df(db.find(find, projection))
if explode:
return ready_made_exploder.fit_transform(df)
else:
return df
def get_not_labeled(cls):
return cls.to_df(db.find(Queries.no_label,
Projections.mechanical_turk))
def count_withlabels(cls):
return db.find(exists("labels")).count()
def get_not_labeled(cls):
return cls.to_df(db.find(Queries.no_label, Projections.mechanical_turk))
def get_as_dataframe(cls, find=Queries.X, projection=Projections.all, explode=True):
df = cls.to_df(db.find(find, projection))
if explode:
return ready_made_exploder.fit_transform(df)
else:
return df
def count_withlabels(cls):
return db.find(exists("labels")).count()