to_numpy())

print(f"Train accuracy: {train_acc}")return model, train_acc

@pipeline

def training_pipeline(gamma: float = 0.002):

X_train, X_test, y_train, y_test = training_data_loader()

svc_trainer(gamma=gamma, X_train=X_train, y_train=y_train)

if __name__ == "__main__":

training_pipeline()

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