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uncommented math issue and increase tolerance for classification_metr…
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…ics (#826)
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vikash018 authored Nov 3, 2023
1 parent 9f6252d commit 797a8d9
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36 changes: 18 additions & 18 deletions verticapy/tests_new/core/vdataframe/test_math.py
Original file line number Diff line number Diff line change
Expand Up @@ -199,12 +199,12 @@ def test_apply(self, titanic_vd_fun, columns, input_type, func, copy_name):
("album_cost", "sample_data", "len", "np.size(x)"),
("album_cost", "sample_data", "length", "np.size(x)"),
("age", None, "ln", "np.log(x)"),
# (
# "fare",
# None,
# "log",
# "np.log2(x, where=x != 0)",
# ), # Looks like bug in code. Expected log arg from vertica doc is log(base, expression). However, Verticapy is considering log(expression, base) i.e. in reverse order.
(
"age",
None,
"log",
"np.log2(x, where=x != 0)",
),
("age", None, "log10", "np.log10(x)"),
("album_cost", "sample_data", "max", "np.max(x)"),
("album_cost", "sample_data", "min", "np.min(x)"),
Expand Down Expand Up @@ -516,18 +516,18 @@ def test_slice(self, smart_meters_vd, length, unit, start, column, expected):
REL_TOLERANCE,
ABS_TOLERANCE,
),
# (
# "mad",
# "age",
# None,
# None,
# "new_colm",
# 1,
# 0.5,
# True,
# REL_TOLERANCE,
# ABS_TOLERANCE,
# ), # Fail. looks like bug in code. vpy code has mean instead of median.
(
"mad",
"age",
None,
None,
"new_colm",
1,
0.5,
True,
REL_TOLERANCE,
ABS_TOLERANCE,
),
(
"max",
"age",
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -280,7 +280,7 @@ def test_master_classification_metrics(
global python_metrics_map
python_metrics_map = defaultdict(list)
func_args = {}
rel_tolerance = 1e-4
rel_tolerance = 1e-2

(
vdf,
Expand Down Expand Up @@ -311,7 +311,7 @@ def test_master_classification_metrics(
elif metric_name in ["prc_auc_score"] and compute_method in [
"macro",
]:
pytest.skip("Need to fix it")
pytest.skip("vertica binning issue needs to be fixed.")
elif metric_name in ["log_loss"]:
pytest.skip("vertica has default base 10, sklean uses natural log (e)")

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