chore: refresh notebooks

zama-ai · Oct 3, 2023 · a4da62f · a4da62f
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diff --git a/docs/advanced_examples/ClientServer.ipynb b/docs/advanced_examples/ClientServer.ipynb
@@ -146,9 +146,9 @@
      "output_type": "stream",
      "text": [
       "total 76K\r\n",
-      "-rw-r--r-- 1 root root  59K Oct  3 00:12 client.zip\r\n",
-      "-rw-r--r-- 1 root root 9.1K Oct  3 00:12 server.zip\r\n",
-      "-rw-r--r-- 1 root root   76 Oct  3 00:12 versions.json\r\n"
+      "-rw-r--r-- 1 root root  59K Oct  3 01:59 client.zip\r\n",
+      "-rw-r--r-- 1 root root 9.1K Oct  3 01:59 server.zip\r\n",
+      "-rw-r--r-- 1 root root   76 Oct  3 01:59 versions.json\r\n"
      ]
     }
    ],
@@ -177,7 +177,7 @@
      "output_type": "stream",
      "text": [
       "total 12K\r\n",
-      "-rw-r--r-- 1 root root 9.1K Oct  3 00:12 server.zip\r\n"
+      "-rw-r--r-- 1 root root 9.1K Oct  3 01:59 server.zip\r\n"
      ]
     }
    ],
@@ -197,7 +197,7 @@
      "output_type": "stream",
      "text": [
       "total 60K\r\n",
-      "-rw-r--r-- 1 root root 59K Oct  3 00:12 client.zip\r\n"
+      "-rw-r--r-- 1 root root 59K Oct  3 01:59 client.zip\r\n"
      ]
     }
    ],
@@ -223,7 +223,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "KeySetCache: miss, regenerating /tmp/tmp0t1atpdd/8948905552040656205/0_0\n"
+      "KeySetCache: miss, regenerating /tmp/tmp4jtcaivb/8948905552040656205/0_0\n"
      ]
     }
    ],
@@ -271,7 +271,7 @@
      "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 0.52 seconds per sample.\n"
      ]
     }
    ],

diff --git a/docs/advanced_examples/ConvolutionalNeuralNetwork.ipynb b/docs/advanced_examples/ConvolutionalNeuralNetwork.ipynb
@@ -183,7 +183,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Training: 100%|██████████| 150/150 [00:50<00:00,  2.96it/s]\n"
+      "Training: 100%|██████████| 150/150 [00:50<00:00,  2.95it/s]\n"
      ]
     },
     {
@@ -381,7 +381,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 450/450 [00:01<00:00, 235.18it/s]"
+      "100%|██████████| 450/450 [00:01<00:00, 236.58it/s]"
      ]
     },
     {
@@ -433,7 +433,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Keygen time: 3.87s\n"
+      "Keygen time: 4.04s\n"
      ]
     }
    ],
@@ -462,14 +462,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 100/100 [04:49<00:00,  2.89s/it]"
+      "100%|██████████| 100/100 [04:48<00:00,  2.88s/it]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time per inference in FHE: 2.89 with 100.00% accuracy\n"
+      "Time per inference in FHE: 2.88 with 99.00% accuracy\n"
      ]
     },
     {

diff --git a/docs/advanced_examples/DecisionTreeClassifier.ipynb b/docs/advanced_examples/DecisionTreeClassifier.ipynb
@@ -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: 0.9295221972431504\n"
+      "Best score: 0.9295310748966703\n"
      ]
     }
    ],
@@ -247,7 +247,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Key generation time: 7.14 seconds\n"
+      "Key generation time: 7.25 seconds\n"
      ]
     }
    ],
@@ -279,7 +279,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time: 1.18 seconds per sample\n"
+      "Execution time: 1.25 seconds per sample\n"
      ]
     }
    ],

diff --git a/docs/advanced_examples/DecisionTreeRegressor.ipynb b/docs/advanced_examples/DecisionTreeRegressor.ipynb
@@ -249,7 +249,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Training on 5100 samples in 24.7637 seconds\n"
+      "Training on 5100 samples in 24.7275 seconds\n"
      ]
     }
    ],
@@ -512,7 +512,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Compiled with 5100 samples in 48.0270 seconds\n"
+      "Compiled with 5100 samples in 43.0347 seconds\n"
      ]
     }
    ],
@@ -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: 8.35 seconds\n"
      ]
     }
    ],
@@ -578,7 +578,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time: 14.11 seconds per sample\n"
+      "Execution time: 14.09 seconds per sample\n"
      ]
     }
    ],
@@ -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 44.8090 seconds\n",
+      "Circuit compiled with 5100 samples in 47.9811 seconds\n",
       "Generating a key for an 7-bit circuit\n",
-      "Key generation time: 55.00 seconds\n",
-      "Execution time: 69.34 seconds per sample\n",
+      "Key generation time: 55.34 seconds\n",
+      "Execution time: 81.45 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 46.9276 seconds\n",
+      "Circuit compiled with 5100 samples in 43.6799 seconds\n",
       "Generating a key for an 8-bit circuit\n",
-      "Key generation time: 97.77 seconds\n",
-      "Execution time: 148.21 seconds per sample\n",
+      "Key generation time: 98.43 seconds\n",
+      "Execution time: 155.54 seconds per sample\n",
       "\n"
      ]
     }

diff --git a/docs/advanced_examples/ExperimentPrivacyTreePaper.ipynb b/docs/advanced_examples/ExperimentPrivacyTreePaper.ipynb
diff --git a/docs/advanced_examples/FullyConnectedNeuralNetwork.ipynb b/docs/advanced_examples/FullyConnectedNeuralNetwork.ipynb
diff --git a/docs/advanced_examples/FullyConnectedNeuralNetworkOnMNIST.ipynb b/docs/advanced_examples/FullyConnectedNeuralNetworkOnMNIST.ipynb
@@ -63,7 +63,7 @@
       "________________________________________________________________________________\n",
       "[Memory] Calling sklearn.datasets._openml.fetch_openml...\n",
       "fetch_openml('mnist_784')\n",
-      "____________________________________________________fetch_openml - 89.7s, 1.5min\n"
+      "____________________________________________________fetch_openml - 88.1s, 1.5min\n"
      ]
     }
    ],
@@ -217,13 +217,13 @@
      "text": [
       "  epoch    train_loss    valid_acc    valid_loss     dur\n",
       "-------  ------------  -----------  ------------  ------\n",
-      "      1        \u001b[36m0.4182\u001b[0m       \u001b[32m0.9293\u001b[0m        \u001b[35m0.2246\u001b[0m  5.6685\n",
-      "      2        \u001b[36m0.2176\u001b[0m       \u001b[32m0.9406\u001b[0m        \u001b[35m0.1980\u001b[0m  5.2550\n",
-      "      3        \u001b[36m0.1863\u001b[0m       \u001b[32m0.9517\u001b[0m        \u001b[35m0.1788\u001b[0m  5.3326\n",
-      "      4        0.1969       0.9367        0.2510  5.3057\n",
-      "      5        \u001b[36m0.1853\u001b[0m       0.9416        0.1974  5.2875\n",
-      "      6        \u001b[36m0.1673\u001b[0m       0.9449        0.2192  4.7013\n",
-      "      7        \u001b[36m0.1576\u001b[0m       0.9511        0.1918  5.2048\n"
+      "      1        \u001b[36m0.4125\u001b[0m       \u001b[32m0.9256\u001b[0m        \u001b[35m0.2504\u001b[0m  5.3564\n",
+      "      2        \u001b[36m0.2184\u001b[0m       \u001b[32m0.9423\u001b[0m        \u001b[35m0.1987\u001b[0m  4.9092\n",
+      "      3        \u001b[36m0.1823\u001b[0m       \u001b[32m0.9465\u001b[0m        \u001b[35m0.1960\u001b[0m  4.7911\n",
+      "      4        0.1835       0.9367        0.2118  4.4828\n",
+      "      5        0.1881       0.9316        0.2271  5.1825\n",
+      "      6        \u001b[36m0.1789\u001b[0m       \u001b[32m0.9490\u001b[0m        0.2033  5.3001\n",
+      "      7        \u001b[36m0.1657\u001b[0m       0.9348        0.2225  4.7292\n"
      ]
     }
    ],
@@ -249,7 +249,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The test accuracy of the clear model is 0.95\n"
+      "The test accuracy of the clear model is 0.93\n"
      ]
     }
    ],
@@ -285,7 +285,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Circuit of 12-bits (FHE simulation)\n"
+      "Circuit of 13-bits (FHE simulation)\n"
      ]
     }
    ],
@@ -318,7 +318,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The test accuracy (with FHE simulation) of the FHE model is 0.95\n"
+      "The test accuracy (with FHE simulation) of the FHE model is 0.93\n"
      ]
     }
    ],
@@ -353,8 +353,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "FHE circuit of 12-bits\n",
-      "Key generation time: 19.41 seconds\n"
+      "FHE circuit of 13-bits\n",
+      "Key generation time: 408.05 seconds\n"
      ]
     }
    ],
@@ -376,7 +376,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time in FHE: 4.33 seconds per sample\n",
+      "Execution time in FHE: 47.19 seconds per sample\n",
       "\n",
       "Expected values: [0, 4, 1]\n",
       "Simulated prediction values: [0 4 1]\n",

diff --git a/docs/advanced_examples/GLMComparison.ipynb b/docs/advanced_examples/GLMComparison.ipynb
@@ -540,7 +540,7 @@
       "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 0.0009 seconds per inference): 1.2116\n",
+      "Mean Poisson deviance (Concrete ML in FHE, with 0.0010 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",

diff --git a/docs/advanced_examples/LinearRegression.ipynb b/docs/advanced_examples/LinearRegression.ipynb
@@ -420,7 +420,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Key generation time: 0.0004 seconds\n"
+      "Key generation time: 0.0005 seconds\n"
      ]
     }
    ],

diff --git a/docs/advanced_examples/LinearSVR.ipynb b/docs/advanced_examples/LinearSVR.ipynb
diff --git a/docs/advanced_examples/PoissonRegression.ipynb b/docs/advanced_examples/PoissonRegression.ipynb
@@ -1075,7 +1075,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Key generation time: 0.0005 seconds\n"
+      "Key generation time: 0.0004 seconds\n"
      ]
     }
    ],
@@ -1103,7 +1103,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "FHE execution time: 0.0036 seconds per sample\n",
+      "FHE execution time: 0.0037 seconds per sample\n",
       "\n",
       "scikit-learn (clear) deviance score: 1.5934\n",
       "Concrete ML (FHE) deviance score: 1.5925\n",

diff --git a/docs/advanced_examples/QuantizationAwareTraining.ipynb b/docs/advanced_examples/QuantizationAwareTraining.ipynb
diff --git a/docs/advanced_examples/RegressorComparison.ipynb b/docs/advanced_examples/RegressorComparison.ipynb
diff --git a/docs/advanced_examples/SVMClassifier.ipynb b/docs/advanced_examples/SVMClassifier.ipynb
diff --git a/docs/advanced_examples/XGBClassifier.ipynb b/docs/advanced_examples/XGBClassifier.ipynb
@@ -356,8 +356,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mean time fit sklearn: 0.41s, std time fit sklearn: 0.34s\n",
-      "Mean time fit concrete: 2.35s,std time fit concrete: 0.67s\n",
+      "Mean time fit sklearn: 0.44s, std time fit sklearn: 0.35s\n",
+      "Mean time fit concrete: 2.33s,std time fit concrete: 0.86s\n",
       "Best MCC score sklearn: 0.48\n",
       "Best MCC score concrete: 0.52\n"
      ]
@@ -533,7 +533,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Key generation time: 5.46 seconds\n"
+      "Key generation time: 5.77 seconds\n"
      ]
     }
    ],
@@ -552,7 +552,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time: 2.84 seconds per sample\n"
+      "Execution time: 2.14 seconds per sample\n"
      ]
     }
    ],

diff --git a/docs/advanced_examples/XGBRegressor.ipynb b/docs/advanced_examples/XGBRegressor.ipynb
@@ -693,7 +693,7 @@
      "output_type": "stream",
      "text": [
       "Generating a key for an 5-bits circuit\n",
-      "Key generation time: 3.209 sec\n"
+      "Key generation time: 3.197 sec\n"
      ]
     }
    ],
@@ -1060,7 +1060,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime per sample: 0.65 sec\n"
+      "Runtime per sample: 0.66 sec\n"
      ]
     }
    ],