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5 changes: 3 additions & 2 deletions cobra/preprocessing/preprocessor.py
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@
import inspect
from datetime import datetime
import time
import math
import logging
from random import shuffle

Expand Down Expand Up @@ -361,9 +362,9 @@ def train_selection_validation_split(data: pd.DataFrame,
pd.DataFrame
DataFrame with additional split column
"""
if train_prop + selection_prop + validation_prop != 1.0:
if not math.isclose(train_prop + selection_prop + validation_prop, 1.0):
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I like this solution, good idea!

raise ValueError("The sum of train_prop, selection_prop and "
"validation_prop cannot differ from 1.0")
"validation_prop must be 1.0.")

if train_prop == 0.0:
raise ValueError("train_prop cannot be zero!")
Expand Down
14 changes: 10 additions & 4 deletions tests/preprocessing/test_preprocessor.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,13 +16,19 @@ def does_not_raise():

class TestPreProcessor:

@pytest.mark.parametrize(("train_prop, selection_prop, "
"validation_prop, expected_sizes"),
@pytest.mark.parametrize("train_prop, selection_prop, validation_prop, "
"expected_sizes",
[(0.6, 0.2, 0.2, {"train": 6,
"selection": 2,
"validation": 2}),
(0.7, 0.3, 0.0, {"train": 7,
"selection": 3})])
"selection": 3}),
# Error "The sum of train_prop, selection_prop and
# validation_prop must be 1.0." should not be
# raised:
(0.7, 0.2, 0.1, {"train": 7,
"selection": 2,
"validation": 1})])
def test_train_selection_validation_split(self, train_prop: float,
selection_prop: float,
validation_prop: float,
Expand Down Expand Up @@ -50,7 +56,7 @@ def test_train_selection_validation_split(self, train_prop: float,
def test_train_selection_validation_split_error_wrong_prop(self):

error_msg = ("The sum of train_prop, selection_prop and "
"validation_prop cannot differ from 1.0")
"validation_prop must be 1.0.")
train_prop = 0.7
selection_prop = 0.3

Expand Down