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This commit is contained in:
Adam Wojdyla 2022-05-09 00:23:12 +02:00
parent 866dd37a22
commit d1376a046a
1 changed files with 6 additions and 6 deletions
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lab07_sacred.py
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@ -76,7 +76,7 @@ def prepare_labels_features(dataset):
return lab, feat return lab, feat
@ex.main @ex.automain
def my_main(epochs, _run): def my_main(epochs, _run):
# Prepare dataset # Prepare dataset
print("Loading dataset...") print("Loading dataset...")
@ -96,17 +96,17 @@ def my_main(epochs, _run):
# number of epochs is parametrized # number of epochs is parametrized
try: try:
epochs = int(epochs) epochs_n = int(epochs)
except Exception as e: except Exception as e:
print(e) print(e)
print("Setting default epochs value to 1000.") print("Setting default epochs value to 1000.")
epochs = 10 epochs_n = 10
print(f"Number of epochs: {epochs}") print(f"Number of epochs: {epochs_n}")
print("Starting model training...") print("Starting model training...")
x_train, y_train = Variable(torch.from_numpy(features_train)).float(), Variable(torch.from_numpy(labels_train)).long() x_train, y_train = Variable(torch.from_numpy(features_train)).float(), Variable(torch.from_numpy(labels_train)).long()
for epoch in range(1, epochs + 1): for epoch in range(1, epochs_n + 1):
print("Epoch #", epoch) print("Epoch #", epoch)
y_pred = model(x_train) y_pred = model(x_train)
loss = loss_fn(y_pred, y_train) loss = loss_fn(y_pred, y_train)
@ -138,5 +138,5 @@ def my_main(epochs, _run):
pd_predictions = pd.DataFrame(pred) pd_predictions = pd.DataFrame(pred)
pd_predictions.to_csv("./prediction_results.csv") pd_predictions.to_csv("./prediction_results.csv")
ex.run() # ex.run()
ex.add_artifact("CarPrices_pytorch_model.pkl") ex.add_artifact("CarPrices_pytorch_model.pkl")