This commit is contained in:
Szymon Bartanowicz 2024-05-14 23:25:43 +02:00
parent d91cded186
commit e5031481ce

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@ -8,7 +8,9 @@ from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense from tensorflow.keras.layers import Dense
import tensorflow as tf import tensorflow as tf
data = pd.read_csv('./data/train.csv') # data = pd.read_csv('./data/train.csv')
data = pd.read_csv('./openpowerlifting.csv')
print(data)
data = data[['Sex', 'Age', 'BodyweightKg', 'TotalKg']].dropna() data = data[['Sex', 'Age', 'BodyweightKg', 'TotalKg']].dropna()
@ -21,7 +23,7 @@ preprocessor = ColumnTransformer(
transformers=[ transformers=[
('num', StandardScaler(), ['Age', 'BodyweightKg']), ('num', StandardScaler(), ['Age', 'BodyweightKg']),
('cat', OneHotEncoder(), ['Sex']) ('cat', OneHotEncoder(), ['Sex'])
] ],
) )
pipeline = Pipeline(steps=[ pipeline = Pipeline(steps=[
@ -35,8 +37,9 @@ pipeline = Pipeline(steps=[
pipeline['model'].compile(optimizer='adam', loss='mse', metrics=['mae']) pipeline['model'].compile(optimizer='adam', loss='mse', metrics=['mae'])
X_train_excluded = X_train.iloc[:, 1:] X_train_excluded = X_train.iloc[1:]
y_train_excluded = y_train.iloc[1:]
pipeline.fit(X_train_excluded, y_train, model__epochs=10, model__validation_split=0.1) pipeline.fit(X_train_excluded, y_train_excluded, model__epochs=int(sys.argv[1]), model__validation_split=0.1)
pipeline['model'].save('powerlifting_model.h5') pipeline['model'].save('powerlifting_model.h5')