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Timeseries: test Stack learner #273

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Timeseries: test Stack learner #273

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34 changes: 31 additions & 3 deletions orangecontrib/timeseries/tests/test_timeseries.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,11 @@
import platform
from unittest.mock import patch

from Orange.data import Table
from Orange.data import Table, ContinuousVariable, Domain, TimeVariable, \
DiscreteVariable
from Orange.classification import TreeLearner, KNNLearner
from Orange.ensembles import StackedFitter
from Orange.evaluation import CrossValidation, MSE

from orangecontrib.timeseries import Timeseries
from orangecontrib.timeseries.functions import timestamp, fromtimestamp
Expand All @@ -19,7 +23,8 @@ def test_create_time_variable(self):
self.assertNotEqual(id_1, id(time_series.attributes))

def test_make_timeseries_from_continuous_var(self):
table = Table.from_url("http://file.biolab.si/datasets/slovenian-national-assembly-eng.tab")
table = Table.from_url(
"http://file.biolab.si/datasets/slovenian-national-assembly-eng.tab")
time_series = Timeseries.make_timeseries_from_continuous_var(table,
'date of birth')
self.assertEqual(time_series.time_variable.name, 'date of birth')
Expand All @@ -29,7 +34,7 @@ def test_time_var_removed(self):
ts_with_tv = Timeseries.from_file('airpassengers')
# select columns without time variable
ts_without_tv = Timeseries.from_data_table(ts_with_tv[:,
ts_with_tv.domain.class_var])
ts_with_tv.domain.class_var])
self.assertTrue(ts_with_tv.time_variable)
# make sure the Timeseries without time variable in domain has
# time_variable set to None
Expand Down Expand Up @@ -66,6 +71,7 @@ def test_timestamp_windows(self):
with hardcoded correct timestamps. It can be only tested with UTC
since otherwise timestamp would be machine local time dependent
"""

class T(datetime):
def timestamp(self):
nonlocal was_hit
Expand Down Expand Up @@ -102,6 +108,28 @@ def fromtimestamp(cls, *args, **kwargs):
self.assertEqual(fromtimestamp(TS, tz=timezone.utc), expected)
self.assertTrue(was_hit)

def test_stacking(self):
domain = Domain([TimeVariable("a"), ContinuousVariable("b"),
ContinuousVariable("c")],
class_vars=DiscreteVariable("cls", values=["1", "0"]))
ts = Table.from_numpy(domain, [(585167768, 0.88224325, 0.87219962),
(1402820096, 0.30777631, 0.44907067),
(899898806, 0.79237373, 0.42574664),
(1270258083, 0.99060523, 0.05312487),
(393049941, 0.41741731, 0.36743904),
(701125886, 0.77428077, 0.12416262),
(18750041, 0.91150353, 0.80794697),
(815292377, 0.99979289, 0.82930241),
(161861359, 0.06679552, 0.70782449),
(408412451, 0.37535755, 0.94807882)],
[1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
sf = StackedFitter([TreeLearner(), KNNLearner()])
cv = CrossValidation(k=3, random_state=0)
results = cv(ts, [sf, KNNLearner(), TreeLearner()])
mse = MSE()(results)
self.assertLess(mse[0], mse[1])
self.assertLess(mse[0], mse[2])


if __name__ == "__main__":
unittest.main()
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