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not user local installs on pip + eval metrics file creation
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gedin 2023-05-24 15:58:36 +02:00
parent 35579a7eb3
commit 41c655024d
2 changed files with 15 additions and 9 deletions
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12
train-eval/Dockerfile
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@ -5,12 +5,12 @@ RUN apt install python3-pip -y
RUN apt install unzip -y
RUN apt install git -y
RUN pip install --user numpy
RUN pip install --user pandas
RUN pip install --user torch
RUN pip install --user keras
RUN pip install --user tensorflow
RUN pip install --user scikit-learn
RUN pip install numpy
RUN pip install pandas
RUN pip install torch
RUN pip install keras
RUN pip install tensorflow
RUN pip install scikit-learn
# RUN echo "alias kaggle='~/.local/bin/kaggle'" >> ~/.bashrc

12
train-eval/eval.py
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@ -38,10 +38,16 @@ model.load_state_dict(torch.load('model.pt'))
x_test = torch.tensor(X.values, dtype=torch.float32)
pred = model(x_test)
pred = pred.detach().numpy()
print ("The accuracy is", accuracy_score(Y, np.argmax(pred, axis=1)))
print ("The precission score is ", precision_score(Y, np.argmax(pred, axis=1)))
print ("The recall score is ", recall_score(Y, np.argmax(pred, axis=1)))
acc = accuracy_score(Y, np.argmax(pred, axis=1))
prec = precision_score(Y, np.argmax(pred, axis=1))
recall = recall_score(Y, np.argmax(pred, axis=1))
print ("The accuracy is", acc)
print ("The precission score is ", prec)
print ("The recall score is ", recall)
file = open('metrics.txt', 'w')
file.write(str(acc) + '\t' + str(prec) + '\t' + str(recall))
file.close()
np.savetxt('prediction.tsv', pred, delimiter='\t')