chore: refresh notebooks

zama-ai · Oct 2, 2023 · 4f1f5c5 · 4f1f5c5
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Showing 15 changed files with 154 additions and 154 deletions.
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  2 20:27 client.zip\r\n",
-      "-rw-r--r-- 1 root root 9.1K Oct  2 20:27 server.zip\r\n",
-      "-rw-r--r-- 1 root root   76 Oct  2 20:27 versions.json\r\n"
+      "-rw-r--r-- 1 root root  59K Oct  2 22:17 client.zip\r\n",
+      "-rw-r--r-- 1 root root 9.1K Oct  2 22:17 server.zip\r\n",
+      "-rw-r--r-- 1 root root   76 Oct  2 22:17 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  2 20:27 server.zip\r\n"
+      "-rw-r--r-- 1 root root 9.1K Oct  2 22:17 server.zip\r\n"
      ]
     }
    ],
@@ -197,7 +197,7 @@
      "output_type": "stream",
      "text": [
       "total 60K\r\n",
-      "-rw-r--r-- 1 root root 59K Oct  2 20:27 client.zip\r\n"
+      "-rw-r--r-- 1 root root 59K Oct  2 22:17 client.zip\r\n"
      ]
     }
    ],
@@ -223,7 +223,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "KeySetCache: miss, regenerating /tmp/tmpy8j7fhhw/8948905552040656205/0_0\n"
+      "KeySetCache: miss, regenerating /tmp/tmp57ydkl3u/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 0.51 seconds per sample.\n"
+      "The average execution time is 0.57 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,  2.99it/s]\n"
+      "Training: 100%|██████████| 150/150 [00:50<00:00,  3.00it/s]\n"
      ]
     },
     {
@@ -381,7 +381,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 450/450 [00:01<00:00, 234.76it/s]"
+      "100%|██████████| 450/450 [00:01<00:00, 237.23it/s]"
      ]
     },
     {
@@ -433,7 +433,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Keygen time: 4.00s\n"
+      "Keygen time: 3.64s\n"
      ]
     }
    ],
@@ -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,  2.86s/it]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time per inference in FHE: 2.93 with 99.00% accuracy\n"
+      "Time per inference in FHE: 2.86 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: 0.929392653754244\n"
+      "Best score: 0.9295588018954174\n"
      ]
     }
    ],
@@ -132,7 +132,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Sklearn average precision score: 0.94\n",
+      "Sklearn average precision score: 0.95\n",
       "Concrete average precision score: 0.97\n"
      ]
     }
@@ -247,7 +247,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Key generation time: 7.29 seconds\n"
+      "Key generation time: 7.17 seconds\n"
      ]
     }
    ],
@@ -279,7 +279,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time: 1.04 seconds per sample\n"
+      "Execution time: 1.82 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 25.0030 seconds\n"
+      "Training on 5100 samples in 24.9563 seconds\n"
      ]
     }
    ],
@@ -512,7 +512,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Compiled with 5100 samples in 41.7984 seconds\n"
+      "Compiled with 5100 samples in 46.3426 seconds\n"
      ]
     }
    ],
@@ -533,7 +533,7 @@
      "output_type": "stream",
      "text": [
       "Generating a key for an 6-bit circuit\n",
-      "Key generation time: 8.39 seconds\n"
+      "Key generation time: 8.47 seconds\n"
      ]
     }
    ],
@@ -578,7 +578,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time: 15.96 seconds per sample\n"
+      "Execution time: 15.82 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 47.1037 seconds\n",
+      "Circuit compiled with 5100 samples in 47.6635 seconds\n",
       "Generating a key for an 7-bit circuit\n",
-      "Key generation time: 55.42 seconds\n",
-      "Execution time: 73.43 seconds per sample\n",
+      "Key generation time: 55.05 seconds\n",
+      "Execution time: 66.36 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 47.2755 seconds\n",
+      "Circuit compiled with 5100 samples in 48.2086 seconds\n",
       "Generating a key for an 8-bit circuit\n",
-      "Key generation time: 98.91 seconds\n",
-      "Execution time: 154.95 seconds per sample\n",
+      "Key generation time: 97.76 seconds\n",
+      "Execution time: 150.93 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 - 88.1s, 1.5min\n"
+      "____________________________________________________fetch_openml - 87.8s, 1.5min\n"
      ]
     }
    ],
@@ -217,13 +217,13 @@
      "text": [
       "  epoch    train_loss    valid_acc    valid_loss     dur\n",
       "-------  ------------  -----------  ------------  ------\n",
-      "      1        \u001b[36m0.3962\u001b[0m       \u001b[32m0.9218\u001b[0m        \u001b[35m0.2525\u001b[0m  6.1729\n",
-      "      2        \u001b[36m0.2119\u001b[0m       \u001b[32m0.9453\u001b[0m        \u001b[35m0.2085\u001b[0m  4.9677\n",
-      "      3        \u001b[36m0.1867\u001b[0m       0.9383        0.2252  4.9785\n",
-      "      4        0.1972       0.9378        0.2135  5.3473\n",
-      "      5        \u001b[36m0.1778\u001b[0m       0.9403        0.2465  5.3205\n",
-      "      6        \u001b[36m0.1752\u001b[0m       \u001b[32m0.9474\u001b[0m        \u001b[35m0.1849\u001b[0m  5.5625\n",
-      "      7        \u001b[36m0.1672\u001b[0m       0.9455        0.1861  5.3572\n"
+      "      1        \u001b[36m0.3858\u001b[0m       \u001b[32m0.9435\u001b[0m        \u001b[35m0.1836\u001b[0m  5.8779\n",
+      "      2        \u001b[36m0.2098\u001b[0m       \u001b[32m0.9474\u001b[0m        \u001b[35m0.1802\u001b[0m  5.2772\n",
+      "      3        \u001b[36m0.1790\u001b[0m       0.9321        0.2391  5.1524\n",
+      "      4        0.2028       0.9385        0.2119  4.9674\n",
+      "      5        0.1831       0.9348        0.2336  4.7900\n",
+      "      6        \u001b[36m0.1675\u001b[0m       0.9448        0.1942  5.1873\n",
+      "      7        \u001b[36m0.1507\u001b[0m       0.9453        0.1958  5.2515\n"
      ]
     }
    ],
@@ -354,7 +354,7 @@
      "output_type": "stream",
      "text": [
       "FHE circuit of 13-bits\n",
-      "Key generation time: 97.05 seconds\n"
+      "Key generation time: 401.57 seconds\n"
      ]
     }
    ],
@@ -376,7 +376,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time in FHE: 27.82 seconds per sample\n",
+      "Execution time in FHE: 63.39 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
@@ -547,7 +547,7 @@
       "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 0.0017 seconds per inference): 0.3319\n",
+      "Mean Gamma deviance (Concrete ML in FHE, with 0.0016 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",

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"
      ]
     }
    ],

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
@@ -357,7 +357,7 @@
      "output_type": "stream",
      "text": [
       "Mean time fit sklearn: 0.42s, std time fit sklearn: 0.34s\n",
-      "Mean time fit concrete: 2.40s,std time fit concrete: 0.85s\n",
+      "Mean time fit concrete: 2.42s,std time fit concrete: 0.89s\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: 5.48 seconds\n"
      ]
     }
    ],
@@ -552,7 +552,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time: 2.54 seconds per sample\n"
+      "Execution time: 3.15 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: 3.188 sec\n"
+      "Key generation time: 3.203 sec\n"
      ]
     }
    ],
@@ -1060,7 +1060,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime per sample: 0.64 sec\n"
+      "Runtime per sample: 0.62 sec\n"
      ]
     }
    ],