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minor fix prev

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kubapok 2021-05-11 12:27:10 +02:00
parent 54ab26b5f9
commit c9825d8d60
2 changed files with 0 additions and 8 deletions
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4
cw/08_regresja_logistyczna.ipynb
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@ -507,11 +507,7 @@
" acc_score += torch.sum((Y_predictions > 0.5) == Y).item()\n", " acc_score += torch.sum((Y_predictions > 0.5) == Y).item()\n",
" items_total += Y.shape[0] \n", " items_total += Y.shape[0] \n",
"\n", "\n",
" optimizer.zero_grad()\n",
" loss = criterion(Y_predictions, Y)\n", " loss = criterion(Y_predictions, Y)\n",
" loss.backward()\n",
" optimizer.step()\n",
"\n",
"\n", "\n",
" loss_score += loss.item() * Y.shape[0] \n", " loss_score += loss.item() * Y.shape[0] \n",
" return (loss_score / items_total), (acc_score / items_total)" " return (loss_score / items_total), (acc_score / items_total)"

4
cw/08_regresja_logistyczna_ODPOWIEDZI.ipynb
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@ -699,11 +699,7 @@
" acc_score += torch.sum((Y_predictions > 0.5) == Y).item()\n", " acc_score += torch.sum((Y_predictions > 0.5) == Y).item()\n",
" items_total += Y.shape[0] \n", " items_total += Y.shape[0] \n",
"\n", "\n",
" optimizer.zero_grad()\n",
" loss = criterion(Y_predictions, Y)\n", " loss = criterion(Y_predictions, Y)\n",
" loss.backward()\n",
" optimizer.step()\n",
"\n",
"\n", "\n",
" loss_score += loss.item() * Y.shape[0] \n", " loss_score += loss.item() * Y.shape[0] \n",
" return (loss_score / items_total), (acc_score / items_total)" " return (loss_score / items_total), (acc_score / items_total)"