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[model:component] Add sampling techniques to address imbalanced dataset #4283

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[model:component] Add sampling techniques to address imbalanced dataset #4283

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63bcd8f
Added SMOTE oversampling and random undersampling
benjaminmah Jun 25, 2024
f450947
Added SMOTE
benjaminmah Jun 28, 2024
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5 changes: 4 additions & 1 deletion bugbug/models/component.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,8 @@
import dateutil.parser
import xgboost
from dateutil.relativedelta import relativedelta
from imblearn.over_sampling import SMOTE
from imblearn.pipeline import Pipeline as ImblearnPipeline
from sklearn.compose import ColumnTransformer
from sklearn.feature_extraction import DictVectorizer
from sklearn.pipeline import Pipeline
Expand Down Expand Up @@ -103,7 +105,7 @@ def __init__(self, lemmatization=False):
]
)

self.clf = Pipeline(
self.clf = ImblearnPipeline(
[
(
"union",
Expand All @@ -119,6 +121,7 @@ def __init__(self, lemmatization=False):
]
),
),
("sampler", SMOTE(random_state=1, sampling_strategy="all")),
(
"estimator",
xgboost.XGBClassifier(n_jobs=utils.get_physical_cpu_count()),
Expand Down