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Refresh notebooks for refresh-notebooks-for-refresh-notebooks-for-refresh-notebooks-for-refresh-notebooks-for-refresh-notebooks-for-refresh-notebooks-for-chore/allow_commit_refresh_notebook_with_failure #324

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14 changes: 7 additions & 7 deletions docs/advanced_examples/ClientServer.ipynb
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Expand Up @@ -146,9 +146,9 @@
"output_type": "stream",
"text": [
"total 76K\r\n",
"-rw-r--r-- 1 root root 59K Oct 3 03:54 client.zip\r\n",
"-rw-r--r-- 1 root root 9.1K Oct 3 03:54 server.zip\r\n",
"-rw-r--r-- 1 root root 76 Oct 3 03:54 versions.json\r\n"
"-rw-r--r-- 1 root root 59K Oct 3 05:41 client.zip\r\n",
"-rw-r--r-- 1 root root 9.1K Oct 3 05:41 server.zip\r\n",
"-rw-r--r-- 1 root root 76 Oct 3 05:41 versions.json\r\n"
]
}
],
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"output_type": "stream",
"text": [
"total 12K\r\n",
"-rw-r--r-- 1 root root 9.1K Oct 3 03:54 server.zip\r\n"
"-rw-r--r-- 1 root root 9.1K Oct 3 05:41 server.zip\r\n"
]
}
],
Expand All @@ -197,7 +197,7 @@
"output_type": "stream",
"text": [
"total 60K\r\n",
"-rw-r--r-- 1 root root 59K Oct 3 03:54 client.zip\r\n"
"-rw-r--r-- 1 root root 59K Oct 3 05:41 client.zip\r\n"
]
}
],
Expand All @@ -223,7 +223,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"KeySetCache: miss, regenerating /tmp/tmp0n30unwe/8948905552040656205/0_0\n"
"KeySetCache: miss, regenerating /tmp/tmpiuj7uf_6/8948905552040656205/0_0\n"
]
}
],
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"output_type": "stream",
"text": [
"Encrypted data is 1537.17 times larger than the clear data\n",
"The average execution time is 0.50 seconds per sample.\n"
"The average execution time is 0.51 seconds per sample.\n"
]
}
],
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10 changes: 5 additions & 5 deletions docs/advanced_examples/ConvolutionalNeuralNetwork.ipynb
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Expand Up @@ -183,7 +183,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"Training: 100%|██████████| 150/150 [00:49<00:00, 3.02it/s]\n"
"Training: 100%|██████████| 150/150 [00:50<00:00, 2.97it/s]\n"
]
},
{
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"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 450/450 [00:01<00:00, 235.02it/s]"
"100%|██████████| 450/450 [00:01<00:00, 234.46it/s]"
]
},
{
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"name": "stdout",
"output_type": "stream",
"text": [
"Keygen time: 3.58s\n"
"Keygen time: 3.60s\n"
]
}
],
Expand Down Expand Up @@ -462,14 +462,14 @@
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 100/100 [04:52<00:00, 2.93s/it]"
"100%|██████████| 100/100 [04:45<00:00, 2.85s/it]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Time per inference in FHE: 2.93 with 100.00% accuracy\n"
"Time per inference in FHE: 2.85 with 98.00% accuracy\n"
]
},
{
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6 changes: 3 additions & 3 deletions docs/advanced_examples/DecisionTreeClassifier.ipynb
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Expand Up @@ -66,7 +66,7 @@
"output_type": "stream",
"text": [
"Best hyper parameters: {'max_depth': None, 'max_features': None, 'min_samples_leaf': 10, 'min_samples_split': 100}\n",
"Best score: 0.9302161645088886\n"
"Best score: 0.9294046436669527\n"
]
}
],
Expand Down Expand Up @@ -247,7 +247,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Key generation time: 7.15 seconds\n"
"Key generation time: 7.22 seconds\n"
]
}
],
Expand Down Expand Up @@ -279,7 +279,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Execution time: 1.31 seconds per sample\n"
"Execution time: 1.42 seconds per sample\n"
]
}
],
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20 changes: 10 additions & 10 deletions docs/advanced_examples/DecisionTreeRegressor.ipynb
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Expand Up @@ -249,7 +249,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Training on 5100 samples in 24.3958 seconds\n"
"Training on 5100 samples in 24.0809 seconds\n"
]
}
],
Expand Down Expand Up @@ -512,7 +512,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Compiled with 5100 samples in 43.2349 seconds\n"
"Compiled with 5100 samples in 46.4215 seconds\n"
]
}
],
Expand All @@ -533,7 +533,7 @@
"output_type": "stream",
"text": [
"Generating a key for an 6-bit circuit\n",
"Key generation time: 8.40 seconds\n"
"Key generation time: 8.41 seconds\n"
]
}
],
Expand Down Expand Up @@ -578,7 +578,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Execution time: 18.12 seconds per sample\n"
"Execution time: 18.57 seconds per sample\n"
]
}
],
Expand Down Expand Up @@ -654,19 +654,19 @@
"----------\n",
"Sklearn Mean Error: 41418.11$,-33.96% of baseline\n",
"Concrete Mean Error: 40483.27$,-35.45% of baseline\n",
"Circuit compiled with 5100 samples in 46.9016 seconds\n",
"Circuit compiled with 5100 samples in 43.6089 seconds\n",
"Generating a key for an 7-bit circuit\n",
"Key generation time: 55.09 seconds\n",
"Execution time: 68.06 seconds per sample\n",
"Key generation time: 55.50 seconds\n",
"Execution time: 70.32 seconds per sample\n",
"\n",
"N_BITS = 8\n",
"----------\n",
"Sklearn Mean Error: 41418.11$,-33.96% of baseline\n",
"Concrete Mean Error: 40725.84$,-35.07% of baseline\n",
"Circuit compiled with 5100 samples in 50.1803 seconds\n",
"Circuit compiled with 5100 samples in 45.4916 seconds\n",
"Generating a key for an 8-bit circuit\n",
"Key generation time: 98.00 seconds\n",
"Execution time: 176.28 seconds per sample\n",
"Key generation time: 98.76 seconds\n",
"Execution time: 155.17 seconds per sample\n",
"\n"
]
}
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82 changes: 41 additions & 41 deletions docs/advanced_examples/ExperimentPrivacyTreePaper.ipynb
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16 changes: 8 additions & 8 deletions docs/advanced_examples/FullyConnectedNeuralNetwork.ipynb
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22 changes: 11 additions & 11 deletions docs/advanced_examples/FullyConnectedNeuralNetworkOnMNIST.ipynb
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Expand Up @@ -63,7 +63,7 @@
"________________________________________________________________________________\n",
"[Memory] Calling sklearn.datasets._openml.fetch_openml...\n",
"fetch_openml('mnist_784')\n",
"____________________________________________________fetch_openml - 88.6s, 1.5min\n"
"____________________________________________________fetch_openml - 91.5s, 1.5min\n"
]
}
],
Expand Down Expand Up @@ -217,13 +217,13 @@
"text": [
" epoch train_loss valid_acc valid_loss dur\n",
"------- ------------ ----------- ------------ ------\n",
" 1 \u001b[36m0.3966\u001b[0m \u001b[32m0.9313\u001b[0m \u001b[35m0.2332\u001b[0m 6.1250\n",
" 2 \u001b[36m0.2150\u001b[0m \u001b[32m0.9458\u001b[0m \u001b[35m0.1999\u001b[0m 5.2121\n",
" 3 \u001b[36m0.1941\u001b[0m 0.9331 0.2267 5.1935\n",
" 4 0.2034 0.9382 0.2062 5.1525\n",
" 5 \u001b[36m0.1892\u001b[0m 0.9358 0.2629 4.4621\n",
" 6 \u001b[36m0.1685\u001b[0m 0.9416 \u001b[35m0.1995\u001b[0m 4.5699\n",
" 7 0.1693 0.9369 0.2314 5.2199\n"
" 1 \u001b[36m0.4115\u001b[0m \u001b[32m0.9228\u001b[0m \u001b[35m0.2470\u001b[0m 5.5896\n",
" 2 \u001b[36m0.2160\u001b[0m \u001b[32m0.9387\u001b[0m \u001b[35m0.2213\u001b[0m 4.4184\n",
" 3 \u001b[36m0.1887\u001b[0m 0.9280 0.2507 5.3839\n",
" 4 0.2028 \u001b[32m0.9457\u001b[0m \u001b[35m0.2140\u001b[0m 5.3892\n",
" 5 \u001b[36m0.1869\u001b[0m 0.9453 \u001b[35m0.2034\u001b[0m 5.3572\n",
" 6 \u001b[36m0.1715\u001b[0m \u001b[32m0.9508\u001b[0m 0.2099 5.1753\n",
" 7 \u001b[36m0.1643\u001b[0m 0.9437 0.2376 5.2585\n"
]
}
],
Expand Down Expand Up @@ -285,7 +285,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Circuit of 13-bits (FHE simulation)\n"
"Circuit of 12-bits (FHE simulation)\n"
]
}
],
Expand Down Expand Up @@ -353,7 +353,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"FHE circuit of 13-bits\n",
"FHE circuit of 12-bits\n",
"Key generation time: 19.63 seconds\n"
]
}
Expand All @@ -376,7 +376,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Execution time in FHE: 5.31 seconds per sample\n",
"Execution time in FHE: 5.43 seconds per sample\n",
"\n",
"Expected values: [0, 4, 1]\n",
"Simulated prediction values: [0 4 1]\n",
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4 changes: 2 additions & 2 deletions docs/advanced_examples/GLMComparison.ipynb
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Expand Up @@ -540,14 +540,14 @@
"Key generation time: 0.0002 seconds\n",
"Mean Poisson deviance (scikit-learn): 1.2114\n",
"Mean Poisson deviance (Concrete ML, quantized): 1.2116\n",
"Mean Poisson deviance (Concrete ML in FHE, with 0.0010 seconds per inference): 1.2116\n",
"Mean Poisson deviance (Concrete ML in FHE, with 0.0011 seconds per inference): 1.2116\n",
"Relative difference between scikit-learn (clear) and Concrete-ml (FHE) scores: 0.01%\n",
"\n",
"Generating a key for an 27-bit circuit\n",
"Key generation time: 0.0001 seconds\n",
"Mean Gamma deviance (scikit-learn): 0.3319\n",
"Mean Gamma deviance (Concrete ML, quantized): 0.3319\n",
"Mean Gamma deviance (Concrete ML in FHE, with 0.0019 seconds per inference): 0.3319\n",
"Mean Gamma deviance (Concrete ML in FHE, with 0.0017 seconds per inference): 0.3319\n",
"Relative difference between scikit-learn (clear) and Concrete-ml (FHE) scores: 0.00%\n",
"\n",
"Generating a key for an 22-bit circuit\n",
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2 changes: 1 addition & 1 deletion docs/advanced_examples/LinearRegression.ipynb
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Expand Up @@ -420,7 +420,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Key generation time: 0.0006 seconds\n"
"Key generation time: 0.0005 seconds\n"
]
}
],
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18 changes: 9 additions & 9 deletions docs/advanced_examples/LinearSVR.ipynb
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2 changes: 1 addition & 1 deletion docs/advanced_examples/PoissonRegression.ipynb
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Expand Up @@ -545,7 +545,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Execution time: 0.0001 seconds per sample\n"
"Execution time: 0.0002 seconds per sample\n"
]
}
],
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46 changes: 23 additions & 23 deletions docs/advanced_examples/QuantizationAwareTraining.ipynb
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52 changes: 26 additions & 26 deletions docs/advanced_examples/RegressorComparison.ipynb
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8 changes: 4 additions & 4 deletions docs/advanced_examples/SVMClassifier.ipynb
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8 changes: 4 additions & 4 deletions docs/advanced_examples/XGBClassifier.ipynb
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Expand Up @@ -356,8 +356,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Mean time fit sklearn: 0.40s, std time fit sklearn: 0.33s\n",
"Mean time fit concrete: 2.37s,std time fit concrete: 0.80s\n",
"Mean time fit sklearn: 0.42s, std time fit sklearn: 0.33s\n",
"Mean time fit concrete: 2.34s,std time fit concrete: 0.84s\n",
"Best MCC score sklearn: 0.48\n",
"Best MCC score concrete: 0.52\n"
]
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"name": "stdout",
"output_type": "stream",
"text": [
"Key generation time: 5.40 seconds\n"
"Key generation time: 5.89 seconds\n"
]
}
],
Expand All @@ -552,7 +552,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Execution time: 3.31 seconds per sample\n"
"Execution time: 3.40 seconds per sample\n"
]
}
],
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4 changes: 2 additions & 2 deletions docs/advanced_examples/XGBRegressor.ipynb
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Expand Up @@ -693,7 +693,7 @@
"output_type": "stream",
"text": [
"Generating a key for an 5-bits circuit\n",
"Key generation time: 3.033 sec\n"
"Key generation time: 3.196 sec\n"
]
}
],
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"name": "stdout",
"output_type": "stream",
"text": [
"Runtime per sample: 0.67 sec\n"
"Runtime per sample: 0.65 sec\n"
]
}
],
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