def setUp(self):
self.config_cv = {
'start_date':'2014-01-01',
'end_date':'2014-05-05',
'train_on':{'days':0, 'weeks':5},
'test_on':{'days':0, 'weeks':1},
'fake_freq':'6W'
}
d_labels = {'response' : pd.Series([1.18, 1.28], index=[0,1]),
'Feces_kg_day' : pd.Series([1.18, 1.28], index=[0,1]),
'ToiletID' : pd.Series(['a08D000000PXgspIAD', 'a08D000000PXgspIAD'], index=[0,1]),
'Collection_Date': pd.Series([datetime.strptime('2014-10-16','%Y-%m-%d'), datetime.strptime('2014-10-17','%Y-%m-%d')], index=[0,1])
}
d_feat = {'Total_Waste_kg_day' : pd.Series([7.13, 7.63], index=[0,1]),
'ToiletID' : pd.Series(['a08D000000PXgspIAD', 'a08D000000PXgspIAD'], index=[0,1]),
'Collection_Date': pd.Series([datetime.strptime('2014-10-16','%Y-%m-%d'), datetime.strptime('2014-10-17','%Y-%m-%d')], index=[0,1]),
'Feces_kg_day_lag1' : pd.Series([0, 1.18], index=[0,1]),
'Feces_kg_day_lag2' : pd.Series([0, 0], index=[0,1]),
'Feces_kg_day_lag3' : pd.Series([0, 0], index=[0,1])
}
self.features_big = pd.DataFrame(d_feat)
self.labels_big = pd.DataFrame(d_labels)
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