Examples updates and checks

GilesStrong · Feb 8, 2020 · 2c89244 · 2c89244
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diff --git a/examples/Advanced_Model_Building.ipynb b/examples/Advanced_Model_Building.ipynb
diff --git a/examples/Binary_Classification.ipynb b/examples/Binary_Classification.ipynb
diff --git a/examples/Classification_of_earnings.ipynb b/examples/Classification_of_earnings.ipynb
diff --git a/examples/Feature_Selection.ipynb b/examples/Feature_Selection.ipynb
diff --git a/examples/Model_Exporting.ipynb b/examples/Model_Exporting.ipynb
@@ -83,6 +83,14 @@
     {
      "data": {
       "text/plain": [
+       "Inputs:\n",
+       "30 Continuous: ['DER_mass_MMC', 'DER_mass_transverse_met_lep', 'DER_mass_vis', 'DER_pt_h', 'DER_deltaeta_jet_jet', 'DER_mass_jet_jet', 'DER_prodeta_jet_jet', 'DER_deltar_tau_lep', 'DER_pt_tot', 'DER_sum_pt', 'DER_pt_ratio_lep_tau', 'DER_met_phi_centrality', 'DER_lep_eta_centrality', 'PRI_met_sumet', 'PRI_jet_all_pt', 'PRI_jet_subleading_px', 'PRI_jet_subleading_py', 'PRI_jet_subleading_pz', 'PRI_lep_px', 'PRI_lep_py', 'PRI_lep_pz', 'PRI_met_px', 'PRI_met_py', 'PRI_jet_leading_px', 'PRI_jet_leading_py', 'PRI_jet_leading_pz', 'PRI_tau_px', 'PRI_tau_py', 'PRI_tau_pz', 'PRI_met_pt']\n",
+       "                   \n",
+       "1  Categorical: ['PRI_jet_num']\n",
+       "                   \n",
+       "0  Matrix elements: []\n",
+       "                   \n",
+       "\n",
        "Model:\n",
        "<bound method Module.parameters of Sequential(\n",
        "  (0): CatEmbHead(\n",
@@ -91,7 +99,7 @@
        "    )\n",
        "  )\n",
        "  (1): FullyConnected(\n",
-       "    (layers): ModuleList(\n",
+       "    (layers): Sequential(\n",
        "      (0): Sequential(\n",
        "        (0): Linear(in_features=32, out_features=100, bias=True)\n",
        "        (1): Swish()\n",
@@ -126,7 +134,7 @@
        "    amsgrad: False\n",
        "    betas: (0.9, 0.999)\n",
        "    eps: 1e-08\n",
-       "    lr: 0.0004277852933156249\n",
+       "    lr: 0.0002577534116698819\n",
        "    weight_decay: 0\n",
        ")\n",
        "                   \n",
@@ -169,7 +177,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/giles/cernbox/lumin/lumin/nn/models/model.py:360: UserWarning: ONNX export of LUMIN models has not been fully explored or sufficiently tested yet.\n",
+      "/home/giles/cernbox/lumin/lumin/nn/models/model.py:405: UserWarning: ONNX export of LUMIN models has not been fully explored or sufficiently tested yet.\n",
       "                         Please use with caution, and report any trouble\n",
       "  Please use with caution, and report any trouble\"\"\")\n"
      ]
@@ -439,10 +447,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/giles/cernbox/lumin/lumin/nn/models/model.py:378: UserWarning: Tensorflow ProtocolBuffer export of LUMIN models (via ONNX) has not been fully explored or sufficiently tested yet.\n",
+      "/home/giles/cernbox/lumin/lumin/nn/models/model.py:423: UserWarning: Tensorflow ProtocolBuffer export of LUMIN models (via ONNX) has not been fully explored or sufficiently tested yet.\n",
       "                         Please use with caution, and report any trouble\n",
       "  Please use with caution, and report any trouble\"\"\")\n",
-      "/home/giles/cernbox/lumin/lumin/nn/models/model.py:360: UserWarning: ONNX export of LUMIN models has not been fully explored or sufficiently tested yet.\n",
+      "/home/giles/cernbox/lumin/lumin/nn/models/model.py:405: UserWarning: ONNX export of LUMIN models has not been fully explored or sufficiently tested yet.\n",
       "                         Please use with caution, and report any trouble\n",
       "  Please use with caution, and report any trouble\"\"\")\n",
       "/home/giles/anaconda3/lib/python3.6/site-packages/onnx_tf/common/handler_helper.py:37: UserWarning: Unknown op ConstantFill in domain `ai.onnx`.\n",

diff --git a/examples/Multi_Target_Regression.ipynb b/examples/Multi_Target_Regression.ipynb
diff --git a/examples/Multiclass_Classification.ipynb b/examples/Multiclass_Classification.ipynb
diff --git a/examples/RNNs_CNN_&_GNNs_for_matrix_data.ipynb b/examples/RNNs_CNN_&_GNNs_for_matrix_data.ipynb