fix
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6
model.py
6
model.py
@ -11,7 +11,9 @@ import tensorflow as tf
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data = pd.read_csv('./data/train.csv')
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data = data[['Sex', 'Age', 'BodyweightKg', 'TotalKg']].dropna()
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data['Age'] = pd.to_numeric(data['Age'], errors='coerce')
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data['BodyweightKg'] = pd.to_numeric(data['BodyweightKg'], errors='coerce')
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data['TotalKg'] = pd.to_numeric(data['TotalKg'], errors='coerce')
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features = data[['Sex', 'Age', 'BodyweightKg']]
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target = data['TotalKg']
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@ -27,7 +29,7 @@ preprocessor = ColumnTransformer(
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pipeline = Pipeline(steps=[
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('preprocessor', preprocessor),
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('model', Sequential([
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Dense(64, activation='relu', input_dim=4),
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Dense(64, activation='relu', input_dim=5),
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Dense(64, activation='relu'),
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Dense(1)
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]))
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