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Merge pull request #45 from marcpinet/feat-easier-metric-handling
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Feat easier metric handling
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@marcpinet
marcpinet authored Sep 22, 2024
2 parents 884758a + 4fae3bc commit 66d338f
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52 changes: 26 additions & 26 deletions examples/classification-regression/mnist_loading_saved_model.ipynb
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"Validation Accuracy: 0.9738333333333333\n"
"Validation Accuracy: 0.9728333333333333\n"
]
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"Test Accuracy: 0.9549\n",
"Test Accuracy: 0.9567\n",
"Confusion Matrix:\n",
"[[ 958 0 3 0 0 3 7 2 4 3]\n",
" [ 0 1117 1 6 0 1 1 2 6 1]\n",
" [ 5 1 983 11 3 0 4 16 9 0]\n",
" [ 2 0 10 959 0 13 1 7 8 10]\n",
" [ 2 1 6 0 909 0 6 0 0 58]\n",
" [ 9 1 0 20 0 838 8 2 3 11]\n",
" [ 10 4 4 1 5 6 917 0 10 1]\n",
" [ 1 8 10 6 0 0 0 982 0 21]\n",
" [ 5 3 9 7 4 6 5 7 917 11]\n",
" [ 3 5 3 5 10 4 2 7 1 969]]\n"
"[[ 963 0 1 2 2 1 4 1 3 3]\n",
" [ 0 1119 2 3 0 1 1 2 6 1]\n",
" [ 5 3 990 8 3 1 4 10 8 0]\n",
" [ 1 2 5 966 1 19 1 6 4 5]\n",
" [ 1 1 2 0 932 1 8 0 4 33]\n",
" [ 7 0 1 15 2 852 5 1 6 3]\n",
" [ 4 5 2 3 5 14 921 0 4 0]\n",
" [ 0 9 17 5 6 0 0 969 2 20]\n",
" [ 8 1 7 20 3 11 8 3 899 14]\n",
" [ 3 2 1 10 18 9 0 8 2 956]]\n"
]
}
],
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91 changes: 46 additions & 45 deletions examples/classification-regression/simple_cancer_binary.ipynb
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"text": [
"[==============================] 100% Epoch 1/40 - loss: 0.6905 - - 0.04s\n",
"[==============================] 100% Epoch 2/40 - loss: 0.6785 - - 0.11s\n",
"[==============================] 100% Epoch 3/40 - loss: 0.6621 - - 0.10s\n",
"[==============================] 100% Epoch 4/40 - loss: 0.6432 - - 0.10s\n",
"[==============================] 100% Epoch 5/40 - loss: 0.6218 - - 0.10s\n",
"[==============================] 100% Epoch 6/40 - loss: 0.5978 - - 0.11s\n",
"[==============================] 100% Epoch 7/40 - loss: 0.5711 - - 0.10s\n",
"[==============================] 100% Epoch 8/40 - loss: 0.5420 - - 0.10s\n",
"[==============================] 100% Epoch 9/40 - loss: 0.5118 - - 0.12s\n",
"[==============================] 100% Epoch 10/40 - loss: 0.4814 - - 0.10s\n",
"[==============================] 100% Epoch 11/40 - loss: 0.4520 - - 0.09s\n",
"[==============================] 100% Epoch 12/40 - loss: 0.4250 - - 0.10s\n",
"[==============================] 100% Epoch 13/40 - loss: 0.4006 - - 0.09s\n",
"[==============================] 100% Epoch 14/40 - loss: 0.3795 - - 0.10s\n",
"[==============================] 100% Epoch 15/40 - loss: 0.3621 - - 0.10s\n",
"[==============================] 100% Epoch 16/40 - loss: 0.3485 - - 0.10s\n",
"[==============================] 100% Epoch 17/40 - loss: 0.3385 - - 0.10s\n",
"[==============================] 100% Epoch 18/40 - loss: 0.3314 - - 0.09s\n",
"[==============================] 100% Epoch 19/40 - loss: 0.3268 - - 0.10s\n",
"[==============================] 100% Epoch 20/40 - loss: 0.3241 - - 0.10s\n",
"[==============================] 100% Epoch 21/40 - loss: 0.3226 - - 0.09s\n",
"[==============================] 100% Epoch 22/40 - loss: 0.3219 - - 0.10s\n",
"[==============================] 100% Epoch 23/40 - loss: 0.3218 - - 0.13s\n",
"[==============================] 100% Epoch 24/40 - loss: 0.3230 - - 0.09s\n",
"[==============================] 100% Epoch 25/40 - loss: 0.3265 - - 0.10s\n",
"[==============================] 100% Epoch 26/40 - loss: 0.3318 - - 0.09s\n",
"Early stopping after 26 epochs.\n"
"[==============================] 100% Epoch 1/40 - loss: 0.6905 - - 0.05s\n",
"[==============================] 100% Epoch 2/40 - loss: 0.6785 - - 0.07s\n",
"[==============================] 100% Epoch 3/40 - loss: 0.6621 - - 0.07s\n",
"[==============================] 100% Epoch 4/40 - loss: 0.6432 - - 0.06s\n",
"[==============================] 100% Epoch 5/40 - loss: 0.6218 - - 0.06s\n",
"[==============================] 100% Epoch 6/40 - loss: 0.5978 - - 0.07s\n",
"[==============================] 100% Epoch 7/40 - loss: 0.5711 - - 0.06s\n",
"[==============================] 100% Epoch 8/40 - loss: 0.5420 - - 0.06s\n",
"[==============================] 100% Epoch 9/40 - loss: 0.5118 - - 0.06s\n",
"[==============================] 100% Epoch 10/40 - loss: 0.4814 - - 0.07s\n",
"[==============================] 100% Epoch 11/40 - loss: 0.4520 - - 0.06s\n",
"[==============================] 100% Epoch 12/40 - loss: 0.4250 - - 0.06s\n",
"[==============================] 100% Epoch 13/40 - loss: 0.4006 - - 0.06s\n",
"[==============================] 100% Epoch 14/40 - loss: 0.3795 - - 0.07s\n",
"[==============================] 100% Epoch 15/40 - loss: 0.3621 - - 0.06s\n",
"[==============================] 100% Epoch 16/40 - loss: 0.3485 - - 0.07s\n",
"[==============================] 100% Epoch 17/40 - loss: 0.3385 - - 0.06s\n",
"[==============================] 100% Epoch 18/40 - loss: 0.3314 - - 0.06s\n",
"[==============================] 100% Epoch 19/40 - loss: 0.3268 - - 0.06s\n",
"[==============================] 100% Epoch 20/40 - loss: 0.3241 - - 0.06s\n",
"[==============================] 100% Epoch 21/40 - loss: 0.3226 - - 0.06s\n",
"[==============================] 100% Epoch 22/40 - loss: 0.3219 - - 0.06s\n",
"[==============================] 100% Epoch 23/40 - loss: 0.3218 - - 0.06s\n",
"[==============================] 100% Epoch 24/40 - loss: 0.3230 - - 0.06s\n",
"[==============================] 100% Epoch 25/40 - loss: 0.3265 - - 0.07s\n",
"[==============================] 100% Epoch 26/40 - loss: 0.3318 - - 0.07s\n",
"\n",
"Early stopping after 26 epochs."
]
}
],
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"execution_count": 7,
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"execution_count": 8,
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"execution_count": 9,
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