def test_time_since_last_custom(es):
def time_since_last(values, time=None):
time_since = time - values.iloc[0]
return time_since.total_seconds()
TimeSinceLast = make_agg_primitive(time_since_last, [DatetimeTimeIndex],
Numeric,
name="time_since_last",
uses_calc_time=True)
f = TimeSinceLast(es["log"]["datetime"], es["customers"])
fm = ft.calculate_feature_matrix([f],
entityset=es,
instance_ids=[0, 1, 2],
cutoff_time=datetime(2015, 6, 8))
correct = [131376600, 131289600, 131287800]
# note: must round to nearest second
assert all(fm[f.get_name()].round().values == correct)
error_text = "'time' is a restricted keyword. Please use a different keyword."
with pytest.raises(ValueError, match=error_text):
TimeSinceLast = make_agg_primitive(time_since_last,
[DatetimeTimeIndex],
Numeric,
uses_calc_time=False)
def test_custom_primitive_time_as_arg(es):
def time_since_last(values, time):
time_since = time - values.iloc[0]
return time_since.total_seconds()
TimeSinceLast = make_agg_primitive(time_since_last,
[DatetimeTimeIndex],
Numeric,
uses_calc_time=True)
assert TimeSinceLast.name == "time_since_last"
f = TimeSinceLast(es["log"]["datetime"], es["customers"])
fm = ft.calculate_feature_matrix([f],
entityset=es,
instance_ids=[0, 1, 2],
cutoff_time=datetime(2015, 6, 8))
correct = [131376600, 131289600, 131287800]
# note: must round to nearest second
assert all(fm[f.get_name()].round().values == correct)
error_text = "'time' is a restricted keyword. Please use a different keyword."
with pytest.raises(ValueError, match=error_text):
make_agg_primitive(time_since_last,
[DatetimeTimeIndex],
Numeric,
uses_calc_time=False)
def test_time_since_last_custom(es):
def time_since_last(values, time=None):
time_since = time - values.iloc[0]
return time_since.total_seconds()
TimeSinceLast = make_agg_primitive(time_since_last,
[DatetimeTimeIndex],
Numeric,
name="time_since_last",
uses_calc_time=True)
f = TimeSinceLast(es["log"]["datetime"], es["customers"])
fm = calculate_feature_matrix([f],
entityset=es,
instance_ids=[0, 1, 2],
cutoff_time=datetime(2015, 6, 8))
correct = [131376600, 131289600, 131287800]
# note: must round to nearest second
assert all(fm[f.get_name()].round().values == correct)
with pytest.raises(ValueError):
TimeSinceLast = make_agg_primitive(time_since_last,
[DatetimeTimeIndex],
Numeric,
uses_calc_time=False)
def test_custom_primitive_time_as_arg(es):
def time_since_last(values, time):
time_since = time - values.iloc[0]
return time_since.total_seconds()
TimeSinceLast = make_agg_primitive(time_since_last,
[DatetimeTimeIndex],
Numeric,
uses_calc_time=True)
assert TimeSinceLast.name == "time_since_last"
f = TimeSinceLast(es["log"]["datetime"], es["customers"])
fm = calculate_feature_matrix([f],
entityset=es,
instance_ids=[0, 1, 2],
cutoff_time=datetime(2015, 6, 8))
correct = [131376600, 131289600, 131287800]
# note: must round to nearest second
assert all(fm[f.get_name()].round().values == correct)
with pytest.raises(ValueError):
make_agg_primitive(time_since_last,
[DatetimeTimeIndex],
Numeric,
uses_calc_time=False)
def test_time_since_last(es):
f = TimeSinceLast(es["log"]["datetime"], es["customers"])
fm = calculate_feature_matrix([f],
instance_ids=[0, 1, 2],
cutoff_time=datetime(2015, 6, 8))
correct = [131376600, 131289600, 131287800]
# note: must round to nearest second
assert all(fm[f.get_name()].round().values == correct)
def test_time_since_last(es):
f = TimeSinceLast(es["log"]["datetime"], es["customers"])
fm = calculate_feature_matrix([f],
instance_ids=[0, 1, 2],
cutoff_time=datetime(2015, 6, 8))
correct = [131376600, 131289600, 131287800]
# note: must round to nearest second
assert all(fm[f.get_name()].round().values == correct)
