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Update README.md
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@ -203,6 +203,8 @@ def load_data():
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def evaluate_predictions(y_test, y_pred):
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def evaluate_predictions(y_test, y_pred):
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return accuracy_score(y_test, y_pred)
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return accuracy_score(y_test, y_pred)
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# model.py
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# model.py
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import torch
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import torch
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import torch.nn as nn
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import torch.nn as nn
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@ -242,6 +244,8 @@ class IrisClassifier(nn.Module):
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outputs = self(X_test)
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outputs = self(X_test)
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_, predicted = outputs.max(1)
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_, predicted = outputs.max(1)
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return predicted.numpy()
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return predicted.numpy()
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# main.py
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# main.py
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from utils import load_data, evaluate_predictions
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from utils import load_data, evaluate_predictions
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from model import IrisClassifier as Classifier
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from model import IrisClassifier as Classifier
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