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Date Train Test Leakage Overlap#
from datetime import datetime
import pandas as pd
from deepchecks.tabular import Dataset, Suite
from deepchecks.tabular.checks import DateTrainTestLeakageOverlap
def dataset_from_dict(d: dict, datetime_name: str = None) -> Dataset:
dataframe = pd.DataFrame(data=d)
return Dataset(dataframe, datetime_name=datetime_name)
Synthetic example dates before last training#
train_ds = dataset_from_dict({'col1': [
datetime(2021, 10, 1, 0, 0),
datetime(2021, 10, 1, 0, 0),
datetime(2021, 10, 1, 0, 0),
datetime(2021, 10, 2, 0, 0),
datetime(2021, 10, 2, 0, 0),
datetime(2021, 10, 2, 0, 0),
datetime(2021, 10, 3, 0, 0),
datetime(2021, 10, 3, 0, 0),
datetime(2021, 10, 3, 0, 0),
datetime(2021, 10, 4, 0, 0),
datetime(2021, 10, 4, 0, 0),
datetime(2021, 10, 4, 0, 0),
datetime(2021, 10, 5, 0, 0),
datetime(2021, 10, 5, 0, 0)
]}, 'col1')
test_ds = dataset_from_dict({'col1': [
datetime(2021, 9, 4, 0, 0),
datetime(2021, 10, 6, 0, 0),
datetime(2021, 10, 6, 0, 0),
datetime(2021, 10, 7, 0, 0),
datetime(2021, 10, 7, 0, 0),
datetime(2021, 10, 8, 0, 0),
datetime(2021, 10, 8, 0, 0),
datetime(2021, 10, 9, 0, 0),
datetime(2021, 10, 9, 0, 0)
]}, 'col1')
DateTrainTestLeakageOverlap().run(train_dataset=train_ds, test_dataset=test_ds)
Synthetic example no date leakage#
train_ds = dataset_from_dict({'col1': [
datetime(2021, 10, 3, 0, 0),
datetime(2021, 10, 3, 0, 0),
datetime(2021, 10, 4, 0, 0),
datetime(2021, 10, 4, 0, 0),
datetime(2021, 10, 4, 0, 0),
datetime(2021, 10, 5, 0, 0),
datetime(2021, 10, 5, 0, 0)
]}, 'col1')
test_ds = dataset_from_dict({'col1': [
datetime(2021, 11, 4, 0, 0),
datetime(2021, 11, 4, 0, 0),
datetime(2021, 11, 5, 0, 0),
datetime(2021, 11, 6, 0, 0),
]}, 'col1')
DateTrainTestLeakageOverlap().run(train_dataset=train_ds, test_dataset=test_ds)
Total running time of the script: (0 minutes 0.045 seconds)