def test_subset(self):
'''
Subset use case - identify self.feature to keep
'''
subset = ['dayofweek', 'minofday']
dfnew = clean_df_subset(self.df, subset)
data = BorderData(dfnew)
# Test self.feature
self.assertEqual(len(subset), len(data.X.columns.values))
for f in subset:
self.assertIn(f, data.X.columns.values)
# Test y self.label
for tries in range(20):
i = randint(0, len(self.df) - 1)
self.assertEqual(self.df[self.label].values[i], data.y.values[i])
def test_subset(self):
'''
Subset use case - identify self.feature to keep
'''
subset = ['dayofweek', 'minofday']
dfnew = clean_df_subset(self.df, subset)
data = BorderData(dfnew)
# Test self.feature
self.assertEqual(len(subset), len(data.X.columns.values))
for f in subset:
self.assertIn(f, data.X.columns.values)
# Test y self.label
for tries in range(20):
i = randint(0, len(self.df) - 1)
self.assertEqual(self.df[self.label].values[i], data.y.values[i])
def test_subset_new_label(self):
'''
Subset use case - identify self.feature to keep
'''
dfnew = self.df.copy()
dfnew['wt2'] = self.df.waittime * 2
subset = ['dayofweek', 'minofday']
dfnew = clean_df_subset(dfnew, subset, label='wt2')
data = BorderData(dfnew, label='wt2')
# Test self.feature
self.assertEqual(len(subset), len(data.X.columns.values))
for f in subset:
self.assertIn(f, data.X.columns.values)
# Test y self.label
for tries in range(20):
i = randint(0, len(self.df) - 1)
self.assertEqual(dfnew['wt2'].values[i], data.y.values[i])
def test_subset_new_label(self):
'''
Subset use case - identify self.feature to keep
'''
dfnew = self.df.copy()
dfnew['wt2'] = self.df.waittime * 2
subset = ['dayofweek', 'minofday']
dfnew = clean_df_subset(dfnew, subset, label='wt2')
data = BorderData(dfnew, label='wt2')
# Test self.feature
self.assertEqual(len(subset), len(data.X.columns.values))
for f in subset:
self.assertIn(f, data.X.columns.values)
# Test y self.label
for tries in range(20):
i = randint(0, len(self.df) - 1)
self.assertEqual(dfnew['wt2'].values[i], data.y.values[i])