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develop #2

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3 changes: 2 additions & 1 deletion day5/requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -4,4 +4,5 @@ mlflow
pandas
pytest
great_expectations
black
black
psutil
19 changes: 18 additions & 1 deletion day5/演習3/tests/test_model.py
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Expand Up @@ -11,6 +11,7 @@
from sklearn.preprocessing import OneHotEncoder, StandardScaler
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
import psutil

# テスト用データとモデルパスを定義
DATA_PATH = os.path.join(os.path.dirname(__file__), "../data/Titanic.csv")
Expand Down Expand Up @@ -157,7 +158,7 @@ def test_model_reproducibility(sample_data, preprocessor):
steps=[
("preprocessor", preprocessor),
("classifier", RandomForestClassifier(n_estimators=100, random_state=42)),
]
]
)

# 学習
Expand All @@ -171,3 +172,19 @@ def test_model_reproducibility(sample_data, preprocessor):
assert np.array_equal(
predictions1, predictions2
), "モデルの予測結果に再現性がありません"

def memory_usage_amount(train_model):
model, X_test, y_test = train_model
# プロセス取得
process = psutil.Process(os.getpid())

# predict前のメモリ
mem_before = process.memory_info().rss / 1024 ** 2 # MB単位

# 実行
model.predict(X_test)

# predict後のメモリ
mem_after = process.memory_info().rss / 1024 ** 2

assert mem_after - mem_before < 10, "推論にメモリを使いすぎです"
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