{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1697338983293,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"COkMuAOy2J5o"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":134250,"status":"ok","timestamp":1697339117539,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"lqNWRhS42u4P","outputId":"e84ccf2b-2878-42e0-93a3-ff5484659054"},"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: optuna in /usr/local/lib/python3.10/dist-packages (3.3.0)\n","Requirement already satisfied: optuna-dashboard in /usr/local/lib/python3.10/dist-packages (0.12.0)\n","Requirement already satisfied: alembic>=1.5.0 in /usr/local/lib/python3.10/dist-packages (from optuna) 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(2.1.3)\n","Collecting git+https://github.com/R-N/ml-utility-loss\n","  Cloning https://github.com/R-N/ml-utility-loss to /tmp/pip-req-build-huzgynqm\n","  Running command git clone --filter=blob:none --quiet https://github.com/R-N/ml-utility-loss /tmp/pip-req-build-huzgynqm\n","  Resolved https://github.com/R-N/ml-utility-loss to commit 999fa9d4bdbb358553011a9c2171aded09814fc4\n","  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: alpharelu in /usr/local/lib/python3.10/dist-packages (from ml-utility-loss==0.1.1) (1.1)\n","Requirement already satisfied: entmax in /usr/local/lib/python3.10/dist-packages (from ml-utility-loss==0.1.1) (1.1)\n","Requirement already satisfied: accelerate>=0.20.3 in /usr/local/lib/python3.10/dist-packages (from ml-utility-loss==0.1.1) (0.23.0)\n","Requirement already satisfied: catboost>=1.0.3 in /usr/local/lib/python3.10/dist-packages (from ml-utility-loss==0.1.1) (1.2.2)\n","Requirement already satisfied: 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packages: ml-utility-loss\n","  Building wheel for ml-utility-loss (setup.py) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for ml-utility-loss: filename=ml_utility_loss-0.1.1-py3-none-any.whl size=377794 sha256=7a664c2bcb3f0a7a226cb81c9c0b40b83e9f6c8c57a8062fb09e86f9acf2c5ac\n","  Stored in directory: /tmp/pip-ephem-wheel-cache-v_yffpto/wheels/54/30/38/31c28079b5f07b6c793211d38f72e7f0be6764bfdfe016df74\n","Successfully built ml-utility-loss\n","Installing collected packages: ml-utility-loss\n","  Attempting uninstall: ml-utility-loss\n","    Found existing installation: ml-utility-loss 0.1.1\n","    Uninstalling ml-utility-loss-0.1.1:\n","      Successfully uninstalled ml-utility-loss-0.1.1\n","Successfully installed ml-utility-loss-0.1.1\n"]}],"source":["!pip install optuna optuna-dashboard\n","!pip install git+https://github.com/R-N/ml-utility-loss\n","!pip install git+https://github.com/R-N/ml-utility-loss --force-reinstall --no-deps"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3102,"status":"ok","timestamp":1697339120628,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"nrYplK5Rkgcn","outputId":"99ef840a-1e12-4d44-dc63-4582cadbf145"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content\n","  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n","                                 Dload  Upload   Total   Spent    Left  Speed\n","  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\n","  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\n","100 34.7M  100 34.7M    0     0  16.1M      0  0:00:02  0:00:02 --:--:-- 30.5M\n"]}],"source":["%cd /content\n","!curl -Ls https://github.com/ekzhang/bore/releases/download/v0.4.0/bore-v0.4.0-x86_64-unknown-linux-musl.tar.gz | tar zx -C /usr/bin\n","!curl -Lo /usr/bin/cloudflared https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 && chmod +x /usr/bin/cloudflared"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":45206,"status":"ok","timestamp":1697339165812,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"MdkECEu12xpL","outputId":"3d9f7090-2f07-4557-ea71-1d4c37e26568"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content\n","Cloning into 'ml-utility-loss'...\n","remote: Enumerating objects: 54414, done.\u001b[K\n","remote: Counting objects: 100% (7327/7327), done.\u001b[K\n","remote: Compressing objects: 100% (3252/3252), done.\u001b[K\n","remote: Total 54414 (delta 4134), reused 7251 (delta 4059), pack-reused 47087\u001b[K\n","Receiving objects: 100% (54414/54414), 239.42 MiB | 10.53 MiB/s, done.\n","Resolving deltas: 100% (6182/6182), done.\n","Updating files: 100% (50325/50325), done.\n","/content/ml-utility-loss\n"]}],"source":["%cd /content\n","!rm -rf ml-utility-loss\n","!git clone https://github.com/R-N/ml-utility-loss\n","%cd ml-utility-loss\n","!rm -rf ml_utility_loss"]},{"cell_type":"code","execution_count":5,"metadata":{"executionInfo":{"elapsed":621,"status":"ok","timestamp":1697339166428,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"ns5hFcVL2yvs"},"outputs":[],"source":["datasets = [\n","    \"insurance\",\n","    \"treatment\",\n","    \"contraceptive\"\n","]\n","\n","model_dir = \"/content/drive/MyDrive/rizqinur2010/Documents/ITS/Tesis/Model/\""]},{"cell_type":"code","execution_count":24,"metadata":{"executionInfo":{"elapsed":643,"status":"ok","timestamp":1697339656419,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"UdvXYv3c3LXy"},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import json\n","import os\n","\n","dataset_dir = \"datasets\"\n","dataset_name = \"insurance\"\n","\n","df = pd.read_csv(os.path.join(dataset_dir, f\"{dataset_name}.csv\"))\n","with open(os.path.join(dataset_dir, f\"{dataset_name}.json\")) as f:\n","    info = json.load(f)"]},{"cell_type":"code","execution_count":25,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1697339657116,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"Vrl2QkoV3o_8"},"outputs":[],"source":["from ml_utility_loss.util import split_df_ratio\n","\n","task = info[\"task\"]\n","target = info[\"target\"]\n","cat_features = info[\"cat_features\"]\n","mixed_features = info[\"mixed_features\"]\n","longtail_features = info[\"longtail_features\"]\n","integer_features = info[\"integer_features\"]\n","\n","dfs = {\n","    \"df\": df,\n","}\n","dfs_test = {}\n","for i in range(5):\n","    train, test = split_df_ratio(df, ratio=0.2, i=i, seed=42)\n","    dfs[i] = train\n","    dfs_test[i] = test\n"]},{"cell_type":"code","execution_count":54,"metadata":{"executionInfo":{"elapsed":8,"status":"ok","timestamp":1697340402293,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"a-SjylvlYl7i"},"outputs":[],"source":["from ml_utility_loss.util import mkdir\n","\n","model_name = \"lct_gan\"\n","df_name = \"df\"\n","#model_name_2 = f\"{model_name}_{dataset_name}_{df_name}\"\n","model_dir_2 = os.path.join(model_dir, model_name, dataset_name, str(df_name))\n","mkdir(model_dir_2)\n","model_path = os.path.join(model_dir_2, f\"model.pt\")\n","g_state_path = os.path.join(model_dir_2, f\"g_state.json\")\n","d_state_path = os.path.join(model_dir_2, f\"d_state.json\")\n","params_path = os.path.join(model_dir_2, f\"params.json\")"]},{"cell_type":"code","execution_count":55,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1697340402293,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"},"user_tz":-420},"id":"-YDZUU9QUCwx","outputId":"861e920a-0dbc-40e6-e66a-8e4337024155"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/MyDrive/rizqinur2010/Documents/ITS/Tesis/Model/lct_gan/insurance/df/model.pt\n"]}],"source":["print(model_path)"]},{"cell_type":"code","execution_count":56,"metadata":{"id":"foDLahGAYvGi","executionInfo":{"status":"ok","timestamp":1697340402293,"user_tz":-420,"elapsed":5,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"}}},"outputs":[],"source":["import torch\n","\n","ae_model_dir = \"models\"\n","ae_model_name = \"lct_ae\"\n","ae_df_name = df_name\n","ae_model_dir_2 = os.path.join(model_dir, ae_model_name, dataset_name, str(ae_df_name))\n","ae_model_path = os.path.join(ae_model_dir_2, f\"model.pt\")\n","ae_state_path = os.path.join(ae_model_dir_2, f\"state.json\")\n","ae_params_path = os.path.join(ae_model_dir_2, f\"params.json\")\n","\n","lct_ae = torch.load(ae_model_path)"]},{"cell_type":"code","execution_count":57,"metadata":{"id":"NgahtU1q9uLO","executionInfo":{"status":"ok","timestamp":1697340402293,"user_tz":-420,"elapsed":5,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"}}},"outputs":[],"source":["\n","from ml_utility_loss.tuning import create_objective\n","import ml_utility_loss.synthesizers.lct_gan.params as PARAMS\n","from ml_utility_loss.util import filter_dict_2\n","\n","params = getattr(PARAMS, dataset_name).BEST\n","gan_params = filter_dict_2(params, PARAMS.default.GAN_PARAMS)\n","\n","model_params={\n","    **gan_params,\n","}"]},{"cell_type":"code","execution_count":51,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wGsDQTlk8Zl1","executionInfo":{"status":"ok","timestamp":1697340400942,"user_tz":-420,"elapsed":146357,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"}},"outputId":"b81e3144-3d83-4921-a155-6e342d90d26d"},"outputs":[{"output_type":"stream","name":"stderr","text":["  0%|          | 2/988 [00:00<01:49,  9.00it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 1/988] [D loss: -0.001967] [G loss: -0.487792]\n","[Epoch 2/988] [D loss: -0.002800] [G loss: -0.487687]\n"]},{"output_type":"stream","name":"stderr","text":["  0%|          | 4/988 [00:00<02:27,  6.68it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 3/988] [D loss: -0.004177] [G loss: -0.487615]\n","[Epoch 4/988] [D loss: -0.006083] [G loss: -0.487512]\n"]},{"output_type":"stream","name":"stderr","text":["  1%|          | 6/988 [00:00<02:37,  6.25it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 5/988] [D loss: -0.009377] [G loss: -0.487437]\n","[Epoch 6/988] [D loss: -0.010733] [G loss: -0.487326]\n"]},{"output_type":"stream","name":"stderr","text":["  1%|          | 8/988 [00:01<02:39,  6.14it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 7/988] [D loss: -0.012113] [G loss: -0.487197]\n","[Epoch 8/988] [D loss: -0.013204] [G loss: -0.487061]\n"]},{"output_type":"stream","name":"stderr","text":["  1%|          | 10/988 [00:01<02:43,  5.97it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 9/988] [D loss: -0.015497] [G loss: -0.486880]\n","[Epoch 10/988] [D loss: -0.017150] [G loss: -0.486731]\n"]},{"output_type":"stream","name":"stderr","text":["  1%|          | 12/988 [00:01<02:41,  6.05it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 11/988] [D loss: -0.019195] [G loss: -0.486568]\n","[Epoch 12/988] [D loss: -0.021499] [G loss: -0.486394]\n"]},{"output_type":"stream","name":"stderr","text":["  1%|▏         | 14/988 [00:02<02:39,  6.10it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 13/988] [D loss: -0.023568] [G loss: -0.486216]\n","[Epoch 14/988] [D loss: -0.024711] [G loss: 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[D loss: -0.724546] [G loss: -0.215381]\n","[Epoch 268/988] [D loss: -0.726366] [G loss: -0.212653]\n"]},{"output_type":"stream","name":"stderr","text":[" 27%|██▋       | 270/988 [00:40<01:21,  8.84it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 269/988] [D loss: -0.728492] [G loss: -0.210931]\n","[Epoch 270/988] [D loss: -0.729459] [G loss: -0.208375]\n"]},{"output_type":"stream","name":"stderr","text":[" 28%|██▊       | 272/988 [00:40<01:21,  8.82it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 271/988] [D loss: -0.732645] [G loss: -0.206753]\n","[Epoch 272/988] [D loss: -0.734489] [G loss: -0.205604]\n"]},{"output_type":"stream","name":"stderr","text":["\r 28%|██▊       | 273/988 [00:40<01:20,  8.93it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 273/988] [D loss: -0.738090] [G loss: -0.202798]\n","[Epoch 274/988] [D loss: -0.739577] [G loss: -0.199451]\n"]},{"output_type":"stream","name":"stderr","text":[" 28%|██▊       | 276/988 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[D loss: -0.772430] [G loss: -0.171286]\n","[Epoch 290/988] [D loss: -0.778702] [G loss: -0.169543]\n","[Epoch 291/988] [D loss: -0.780052] [G loss: -0.167665]\n"]},{"output_type":"stream","name":"stderr","text":["\r 30%|██▉       | 292/988 [00:42<01:19,  8.77it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 292/988] [D loss: -0.779317] [G loss: -0.165986]\n","[Epoch 293/988] [D loss: -0.778916] [G loss: -0.163691]\n","[Epoch 294/988] [D loss: -0.782574] [G loss: -0.163231]\n"]},{"output_type":"stream","name":"stderr","text":[" 30%|███       | 297/988 [00:43<01:12,  9.56it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 295/988] [D loss: -0.782768] [G loss: -0.161312]\n","[Epoch 296/988] [D loss: -0.785530] [G loss: -0.159084]\n","[Epoch 297/988] [D loss: -0.787601] [G loss: -0.158351]\n"]},{"output_type":"stream","name":"stderr","text":[" 30%|███       | 299/988 [00:43<01:14,  9.22it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 298/988] [D 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[D loss: -0.878105] [G loss: -0.085006]\n","[Epoch 410/988] [D loss: -0.875885] [G loss: -0.084290]\n"]},{"output_type":"stream","name":"stderr","text":[" 42%|████▏     | 412/988 [01:04<01:08,  8.35it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 411/988] [D loss: -0.875063] [G loss: -0.082094]\n","[Epoch 412/988] [D loss: -0.870017] [G loss: -0.086669]\n"]},{"output_type":"stream","name":"stderr","text":[" 42%|████▏     | 414/988 [01:05<01:08,  8.42it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 413/988] [D loss: -0.874965] [G loss: -0.085131]\n","[Epoch 414/988] [D loss: -0.864196] [G loss: -0.084467]\n"]},{"output_type":"stream","name":"stderr","text":[" 42%|████▏     | 416/988 [01:05<01:05,  8.72it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 415/988] [D loss: -0.879122] [G loss: -0.085434]\n","[Epoch 416/988] [D loss: -0.868709] [G loss: -0.089296]\n"]},{"output_type":"stream","name":"stderr","text":[" 42%|████▏     | 418/988 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[D loss: -0.855715] [G loss: -0.097439]\n","[Epoch 432/988] [D loss: -0.859462] [G loss: -0.101477]\n"]},{"output_type":"stream","name":"stderr","text":[" 44%|████▍     | 434/988 [01:07<01:02,  8.85it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 433/988] [D loss: -0.854608] [G loss: -0.096437]\n","[Epoch 434/988] [D loss: -0.857438] [G loss: -0.099383]\n"]},{"output_type":"stream","name":"stderr","text":[" 44%|████▍     | 436/988 [01:07<01:03,  8.69it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 435/988] [D loss: -0.853919] [G loss: -0.102835]\n","[Epoch 436/988] [D loss: -0.851444] [G loss: -0.093755]\n"]},{"output_type":"stream","name":"stderr","text":[" 44%|████▍     | 438/988 [01:07<01:04,  8.55it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 437/988] [D loss: -0.857059] [G loss: -0.097309]\n","[Epoch 438/988] [D loss: -0.851126] [G loss: -0.099626]\n"]},{"output_type":"stream","name":"stderr","text":[" 45%|████▍     | 440/988 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[D loss: -0.890742] [G loss: -0.059932]\n","[Epoch 491/988] [D loss: -0.894402] [G loss: -0.057306]\n"]},{"output_type":"stream","name":"stderr","text":[" 50%|████▉     | 493/988 [01:16<01:24,  5.87it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 492/988] [D loss: -0.894499] [G loss: -0.058223]\n","[Epoch 493/988] [D loss: -0.896984] [G loss: -0.055862]\n"]},{"output_type":"stream","name":"stderr","text":[" 50%|█████     | 495/988 [01:16<01:22,  5.95it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 494/988] [D loss: -0.892861] [G loss: -0.056714]\n","[Epoch 495/988] [D loss: -0.900479] [G loss: -0.054838]\n"]},{"output_type":"stream","name":"stderr","text":[" 50%|█████     | 497/988 [01:16<01:23,  5.91it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 496/988] [D loss: -0.896186] [G loss: -0.056350]\n","[Epoch 497/988] [D loss: -0.898504] [G loss: -0.053847]\n"]},{"output_type":"stream","name":"stderr","text":[" 51%|█████     | 499/988 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[D loss: -0.910245] [G loss: -0.048978]\n","[Epoch 513/988] [D loss: -0.906893] [G loss: -0.048786]\n"]},{"output_type":"stream","name":"stderr","text":[" 52%|█████▏    | 515/988 [01:19<01:20,  5.89it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 514/988] [D loss: -0.909852] [G loss: -0.047556]\n","[Epoch 515/988] [D loss: -0.908849] [G loss: -0.046532]\n"]},{"output_type":"stream","name":"stderr","text":[" 52%|█████▏    | 517/988 [01:20<01:20,  5.85it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 516/988] [D loss: -0.911374] [G loss: -0.046145]\n","[Epoch 517/988] [D loss: -0.910260] [G loss: -0.046298]\n"]},{"output_type":"stream","name":"stderr","text":[" 53%|█████▎    | 519/988 [01:20<01:19,  5.86it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 518/988] [D loss: -0.908977] [G loss: -0.046106]\n","[Epoch 519/988] [D loss: -0.910866] [G loss: -0.046068]\n"]},{"output_type":"stream","name":"stderr","text":[" 53%|█████▎    | 521/988 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[D loss: -0.919741] [G loss: -0.039781]\n","[Epoch 557/988] [D loss: -0.921941] [G loss: -0.038578]\n"]},{"output_type":"stream","name":"stderr","text":[" 57%|█████▋    | 559/988 [01:25<00:48,  8.85it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 558/988] [D loss: -0.919651] [G loss: -0.040985]\n","[Epoch 559/988] [D loss: -0.922689] [G loss: -0.040953]\n"]},{"output_type":"stream","name":"stderr","text":[" 57%|█████▋    | 561/988 [01:25<00:47,  9.03it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 560/988] [D loss: -0.914580] [G loss: -0.038044]\n","[Epoch 561/988] [D loss: -0.920508] [G loss: -0.038880]\n"]},{"output_type":"stream","name":"stderr","text":[" 57%|█████▋    | 563/988 [01:25<00:47,  8.98it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 562/988] [D loss: -0.921315] [G loss: -0.040937]\n","[Epoch 563/988] [D loss: -0.914692] [G loss: -0.039201]\n"]},{"output_type":"stream","name":"stderr","text":[" 57%|█████▋    | 565/988 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[D loss: -0.934631] [G loss: -0.032512]\n","[Epoch 623/988] [D loss: -0.933563] [G loss: -0.032237]\n"]},{"output_type":"stream","name":"stderr","text":[" 63%|██████▎   | 625/988 [01:33<00:58,  6.23it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 624/988] [D loss: -0.932018] [G loss: -0.030818]\n","[Epoch 625/988] [D loss: -0.934719] [G loss: -0.030950]\n"]},{"output_type":"stream","name":"stderr","text":[" 63%|██████▎   | 627/988 [01:33<01:01,  5.90it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 626/988] [D loss: -0.939998] [G loss: -0.030018]\n","[Epoch 627/988] [D loss: -0.931698] [G loss: -0.030475]\n"]},{"output_type":"stream","name":"stderr","text":[" 64%|██████▎   | 629/988 [01:34<01:02,  5.72it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 628/988] [D loss: -0.930996] [G loss: -0.029389]\n","[Epoch 629/988] [D loss: -0.935512] [G loss: -0.030913]\n"]},{"output_type":"stream","name":"stderr","text":[" 64%|██████▍   | 631/988 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-0.015250]\n"]},{"output_type":"stream","name":"stderr","text":[" 96%|█████████▌| 948/988 [02:18<00:06,  5.81it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 947/988] [D loss: -0.961294] [G loss: -0.014979]\n","[Epoch 948/988] [D loss: -0.967490] [G loss: -0.016580]\n"]},{"output_type":"stream","name":"stderr","text":[" 96%|█████████▌| 950/988 [02:19<00:06,  5.93it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 949/988] [D loss: -0.962174] [G loss: -0.014716]\n","[Epoch 950/988] [D loss: -0.957479] [G loss: -0.014537]\n"]},{"output_type":"stream","name":"stderr","text":[" 96%|█████████▋| 952/988 [02:19<00:06,  5.79it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 951/988] [D loss: -0.964582] [G loss: -0.015061]\n","[Epoch 952/988] [D loss: -0.961298] [G loss: -0.015874]\n"]},{"output_type":"stream","name":"stderr","text":[" 97%|█████████▋| 954/988 [02:19<00:05,  5.73it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 953/988] [D loss: -0.961541] [G loss: -0.015263]\n","[Epoch 954/988] [D loss: -0.961214] [G loss: -0.014789]\n"]},{"output_type":"stream","name":"stderr","text":[" 97%|█████████▋| 956/988 [02:20<00:05,  5.74it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 955/988] [D loss: -0.965787] [G loss: -0.014932]\n","[Epoch 956/988] [D loss: -0.963930] [G loss: -0.014788]\n"]},{"output_type":"stream","name":"stderr","text":[" 97%|█████████▋| 958/988 [02:20<00:05,  5.66it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 957/988] [D loss: -0.963843] [G loss: -0.016051]\n","[Epoch 958/988] [D loss: -0.970053] [G loss: -0.016312]\n"]},{"output_type":"stream","name":"stderr","text":[" 97%|█████████▋| 960/988 [02:21<00:04,  5.60it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 959/988] [D loss: -0.965926] [G loss: -0.015489]\n","[Epoch 960/988] [D loss: -0.960634] [G loss: -0.014853]\n"]},{"output_type":"stream","name":"stderr","text":[" 97%|█████████▋| 962/988 [02:21<00:04,  5.67it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 961/988] [D loss: -0.960950] [G loss: -0.014874]\n","[Epoch 962/988] [D loss: -0.965992] [G loss: -0.016851]\n"]},{"output_type":"stream","name":"stderr","text":[" 98%|█████████▊| 964/988 [02:21<00:04,  5.57it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 963/988] [D loss: -0.965460] [G loss: -0.015494]\n","[Epoch 964/988] [D loss: -0.964142] [G loss: -0.015332]\n"]},{"output_type":"stream","name":"stderr","text":[" 98%|█████████▊| 966/988 [02:22<00:03,  5.59it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 965/988] [D loss: -0.965986] [G loss: -0.014648]\n","[Epoch 966/988] [D loss: -0.965683] [G loss: -0.014597]\n"]},{"output_type":"stream","name":"stderr","text":[" 98%|█████████▊| 968/988 [02:22<00:03,  5.65it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 967/988] [D loss: -0.962241] [G loss: -0.016366]\n","[Epoch 968/988] [D loss: -0.959926] [G loss: -0.014609]\n"]},{"output_type":"stream","name":"stderr","text":[" 98%|█████████▊| 970/988 [02:22<00:03,  5.63it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 969/988] [D loss: -0.966375] [G loss: -0.016024]\n","[Epoch 970/988] [D loss: -0.964031] [G loss: -0.014858]\n"]},{"output_type":"stream","name":"stderr","text":[" 98%|█████████▊| 972/988 [02:23<00:02,  5.61it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 971/988] [D loss: -0.964569] [G loss: -0.015557]\n","[Epoch 972/988] [D loss: -0.964144] [G loss: -0.014704]\n"]},{"output_type":"stream","name":"stderr","text":[" 99%|█████████▊| 974/988 [02:23<00:02,  5.76it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 973/988] [D loss: -0.959249] [G loss: -0.014681]\n","[Epoch 974/988] [D loss: -0.964101] [G loss: -0.015244]\n"]},{"output_type":"stream","name":"stderr","text":[" 99%|█████████▉| 976/988 [02:23<00:02,  5.78it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 975/988] [D loss: -0.964945] [G loss: -0.014171]\n","[Epoch 976/988] [D loss: -0.964288] [G loss: -0.013362]\n"]},{"output_type":"stream","name":"stderr","text":[" 99%|█████████▉| 978/988 [02:24<00:01,  5.80it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 977/988] [D loss: -0.966671] [G loss: -0.014889]\n","[Epoch 978/988] [D loss: -0.966879] [G loss: -0.015204]\n"]},{"output_type":"stream","name":"stderr","text":[" 99%|█████████▉| 980/988 [02:24<00:01,  5.80it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 979/988] [D loss: -0.964580] [G loss: -0.013388]\n","[Epoch 980/988] [D loss: -0.959383] [G loss: -0.012969]\n"]},{"output_type":"stream","name":"stderr","text":[" 99%|█████████▉| 982/988 [02:24<00:01,  5.70it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 981/988] [D loss: -0.965114] [G loss: -0.013826]\n","[Epoch 982/988] [D loss: -0.967760] [G loss: -0.014902]\n"]},{"output_type":"stream","name":"stderr","text":["100%|█████████▉| 984/988 [02:25<00:00,  5.76it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 983/988] [D loss: -0.967309] [G loss: -0.015151]\n","[Epoch 984/988] [D loss: -0.959872] [G loss: -0.014729]\n"]},{"output_type":"stream","name":"stderr","text":["100%|█████████▉| 986/988 [02:25<00:00,  5.80it/s]"]},{"output_type":"stream","name":"stdout","text":["[Epoch 985/988] [D loss: -0.967377] [G loss: -0.014141]\n","[Epoch 986/988] [D loss: -0.964256] [G loss: -0.013743]\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 988/988 [02:25<00:00,  6.77it/s]\n"]},{"output_type":"stream","name":"stdout","text":["[Epoch 987/988] [D loss: -0.962006] [G loss: -0.013196]\n","[Epoch 988/988] [D loss: -0.962739] [G loss: -0.016487]\n","Number of steps: 2\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 2/2 [00:00<00:00, 17.01it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Sampled data length 2048\n"]}],"source":["from ml_utility_loss.synthesizers.lct_gan.pipeline import create_gan\n","\n","gan, synth_df = create_gan(\n","    lct_ae,\n","    dfs[df_name],\n","    **model_params\n",")"]},{"cell_type":"code","execution_count":52,"metadata":{"id":"qUHHYJNRJdDy","executionInfo":{"status":"ok","timestamp":1697340402292,"user_tz":-420,"elapsed":1366,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"}}},"outputs":[],"source":["import torch\n","from copy import deepcopy\n","import json\n","\n","!rm -rf params_path\n","!rm -rf model_path\n","!rm -rf g_state_path\n","!rm -rf d_state_path\n","torch.save(gan, model_path)\n","torch.save(deepcopy(gan.generator.state_dict()), g_state_path)\n","torch.save(deepcopy(gan.discriminator.state_dict()), d_state_path)\n","with open(params_path, \"w\") as f:\n","    json.dump(model_params, f, indent=4)"]},{"cell_type":"code","execution_count":53,"metadata":{"id":"7SQgzf5-P249","executionInfo":{"status":"ok","timestamp":1697340402292,"user_tz":-420,"elapsed":8,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"}}},"outputs":[],"source":["synth_path = os.path.join(model_dir_2, f\"synth.csv\")\n","train_path = os.path.join(model_dir_2, f\"train.csv\")\n","val_path = os.path.join(model_dir_2, f\"val.csv\")\n","test_path = os.path.join(model_dir_2, f\"test.csv\")\n","\n","synth_df.to_csv(synth_path)\n","dfs[df_name].to_csv(train_path)\n","dfs_test[df_name].to_csv(val_path)\n","dfs_test[df_name].to_csv(test_path)"]},{"cell_type":"code","execution_count":53,"metadata":{"id":"nB724X33v4Qd","executionInfo":{"status":"ok","timestamp":1697340402293,"user_tz":-420,"elapsed":8,"user":{"displayName":"Rizqi Nur","userId":"09644007964068789560"}}},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[],"mount_file_id":"1OXbNqjplMbCRXWmSGUzf6XWVRRn-aF-D","authorship_tag":"ABX9TyM1UxcwnfJ0zp1gGD94prGb"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}