changed script
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model.py
5
model.py
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import sys
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import pandas as pd
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import pandas as pd
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from sklearn.model_selection import train_test_split
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from sklearn.model_selection import train_test_split
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from sklearn.preprocessing import StandardScaler, OneHotEncoder
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from sklearn.preprocessing import StandardScaler, OneHotEncoder
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@ -7,7 +8,7 @@ from tensorflow.keras.models import Sequential
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from tensorflow.keras.layers import Dense
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from tensorflow.keras.layers import Dense
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import tensorflow as tf
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import tensorflow as tf
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data = pd.read_csv('openpowerlifting.csv')
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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 = data[['Sex', 'Age', 'BodyweightKg', 'TotalKg']].dropna()
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@ -34,6 +35,6 @@ pipeline = Pipeline(steps=[
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pipeline['model'].compile(optimizer='adam', loss='mse', metrics=['mae'])
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pipeline['model'].compile(optimizer='adam', loss='mse', metrics=['mae'])
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pipeline.fit(X_train.iloc[:, 1:], y_train, model__epochs=10, model__validation_split=0.1)
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pipeline.fit(X_train.iloc[:, 1:], y_train.iloc[:, 1:], model__epochs=int(sys.argv[1]), model__validation_split=0.1)
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pipeline['model'].save('powerlifting_model.h5')
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pipeline['model'].save('powerlifting_model.h5')
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