AMD_T2L_CON_DNN_Predictor.ipynb

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  "metadata": {
    "colab": {
      "name": "AMD_T2L_CON_DNN_Predictor.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "machine_shape": "hm",
      "authorship_tag": "ABX9TyNJFkRbAZupUXeB0bzvfWbT",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/JRopes/CrystalEnergyPredictionWithInvariants/blob/main/AMD_T2L_CON_DNN_Predictor.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EhW1LoM4H9OB"
      },
      "source": [
        "**SETUP**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zrHDWt2zH0dK",
        "outputId": "d5a13464-4242-4887-86b7-61154efed76a"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GSDT8po3IDYR"
      },
      "source": [
        "import sys\n",
        "sys.path.insert(0,'/content/drive/MyDrive/Colab_Notebooks/Dissertation/Prediction_Prototyping') "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T4_aaFoKOX55",
        "outputId": "bd2ad9ec-dfb8-4dc3-827b-f48861c973e3"
      },
      "source": [
        "!pip install ipython-autotime"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: ipython-autotime in /usr/local/lib/python3.7/dist-packages (0.3.1)\n",
            "Requirement already satisfied: ipython in /usr/local/lib/python3.7/dist-packages (from ipython-autotime) (5.5.0)\n",
            "Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (5.0.5)\n",
            "Requirement already satisfied: pygments in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (2.6.1)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (4.4.2)\n",
            "Requirement already satisfied: pexpect; sys_platform != \"win32\" in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (4.8.0)\n",
            "Requirement already satisfied: simplegeneric>0.8 in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (0.8.1)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (0.7.5)\n",
            "Requirement already satisfied: prompt-toolkit<2.0.0,>=1.0.4 in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (1.0.18)\n",
            "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.7/dist-packages (from ipython->ipython-autotime) (56.1.0)\n",
            "Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.7/dist-packages (from traitlets>=4.2->ipython->ipython-autotime) (0.2.0)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.7/dist-packages (from pexpect; sys_platform != \"win32\"->ipython->ipython-autotime) (0.7.0)\n",
            "Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.7/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython->ipython-autotime) (1.15.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.7/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython->ipython-autotime) (0.2.5)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2BRYrpuxIHVA"
      },
      "source": [
        "**IMPORTING LIBRARY DEPENDENCIES**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "soukEyJhIM_5"
      },
      "source": [
        "import numpy as np\n",
        "import pickle\n",
        "import math\n",
        "import pandas as pd\n",
        "import datetime, os\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mSWmVnJ26T4O"
      },
      "source": [
        "from sklearn import preprocessing\n",
        "from sklearn.model_selection import train_test_split"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gnREhFs8Iey2"
      },
      "source": [
        "from keras.layers import Dense, Dropout\n",
        "from keras.models import Sequential\n",
        "from keras.initializers import glorot_uniform\n",
        "from keras.optimizers import Adam\n",
        "from keras.losses import Huber\n",
        "from keras.callbacks import EarlyStopping\n",
        "from keras.utils import plot_model"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z-YvFb7CJpoS"
      },
      "source": [
        "%load_ext tensorboard"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "j_WmLrvPImgW",
        "outputId": "bb0b908a-5acf-4c70-be33-98d6ad3ee9f8"
      },
      "source": [
        "import tensorflow as tf\n",
        "tf.test.gpu_device_name()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'/device:GPU:0'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UeA5aLA9OenD",
        "outputId": "e4d02ff6-558d-4cad-e981-c64a26a12568"
      },
      "source": [
        "%load_ext autotime"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 63.6 µs (started: 2021-05-08 14:53:22 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MMvjgKkaIptz"
      },
      "source": [
        "**IMPORTING DATA**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ijKz9brXIsiC",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9d6d4f06-4bf2-4ea6-bb48-74dc719d89fa"
      },
      "source": [
        "feature_dir_path = '/content/drive/MyDrive/Colab_Notebooks/Dissertation/Data/PublishedData/AMDs_T2_1000_CON.csv'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 909 µs (started: 2021-05-08 14:53:22 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_HIYGUQYIveK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d9830c99-2b69-4402-ed55-4db94d7351c1"
      },
      "source": [
        "RAW_DATA = pd.read_csv(feature_dir_path)\n",
        "data = RAW_DATA.to_numpy()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 1.5 s (started: 2021-05-08 14:53:22 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YIvf5tE77mmq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d80e84b3-bb8d-45d5-e7b8-3e16a29c0b12"
      },
      "source": [
        "label_dir_path = '/content/drive/MyDrive/Colab_Notebooks/Dissertation/Data/AMDs_T2_1000.csv'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 809 µs (started: 2021-05-08 14:53:24 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BsXQ4yPe7mpl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a0a787ba-5f60-4706-da87-9b7663af77cd"
      },
      "source": [
        "RAW_LABEL_DATA = pd.read_csv(label_dir_path)\n",
        "label_data = RAW_LABEL_DATA.to_numpy()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 1.49 s (started: 2021-05-08 14:53:24 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "69JhitVVIzAq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "94c2de74-cb3d-4bba-d77f-60cf3fdbcdd4"
      },
      "source": [
        "features = data[:,1:]\n",
        "labels = label_data[:,1]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 1.05 ms (started: 2021-05-08 14:53:25 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qmAFjpHmJLvy",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "55f0aff3-b453-4b57-809d-d8a866ebb17f"
      },
      "source": [
        "pickle.dump(features, open(\"amd_feature_data_dnn.p\", \"wb\"))\n",
        "\n",
        "pickle.dump(labels, open(\"amd_label_data_dnn.p\",\"wb\"))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 1.14 s (started: 2021-05-08 14:53:25 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pTKdRzfXJN8a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9b583c71-1f3c-4c71-b822-f929fbcadeee"
      },
      "source": [
        "def data():\n",
        "  feature_data = pickle.load(open(\"amd_feature_data_dnn.p\",\"rb\"))\n",
        "  label_data = pickle.load(open(\"amd_label_data_dnn.p\",\"rb\"))\n",
        "\n",
        "  feature_data = np.nan_to_num(feature_data)\n",
        "\n",
        "  feature_data = feature_data[:,:100]\n",
        "\n",
        "  ## MinMax Scaler\n",
        "  feature_scaler = preprocessing.MinMaxScaler(feature_range=(0,1))\n",
        "  X_scaled = feature_scaler.fit_transform(feature_data)\n",
        "  \n",
        "  y_data = label_data.reshape(-1,1).astype(np.float64)\n",
        "\n",
        "  #X_train, X_test, y_train, y_test = train_test_split(X_scaled, y_data, test_size=0.1, random_state=3, shuffle=True)\n",
        "  X_train, X_test, y_train, y_test = train_test_split(X_scaled, y_data, test_size=0.1, shuffle=True)\n",
        "\n",
        "  return X_train, y_train, X_test, y_test"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 6.43 ms (started: 2021-05-08 14:53:27 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sYCq9nozJUJK"
      },
      "source": [
        "**ARCHITECTURE**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0J9WzZhf2WqN",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cfc90cfa-1d31-4716-9cf8-c3abab01b1af"
      },
      "source": [
        "def load_model():\n",
        "  model = Sequential()\n",
        "\n",
        "  #Input Layer and Hidden Layer 1\n",
        "  model.add(Dense(128, input_dim=100, activation='relu', name='Dense_Layer_01', kernel_initializer=glorot_uniform()))\n",
        "  model.add(Dropout(0.2, name='Dropout_Layer_01'))\n",
        "\n",
        "  #Hidden Layer 2\n",
        "  model.add(Dense(32, activation='relu', name='Dense_Layer_02', kernel_initializer=glorot_uniform()))\n",
        "\n",
        "  #Hidden Layer 3\n",
        "  model.add(Dense(16, activation='relu', name='Dense_Layer_03', kernel_initializer=glorot_uniform()))\n",
        "\n",
        "  #Output Layer\n",
        "  model.add(Dense(1, activation='linear', name='Dense_Output_Layer_04', kernel_initializer=glorot_uniform()))\n",
        "\n",
        "  model.compile(loss='huber_loss', optimizer=Adam(learning_rate=0.01), metrics=[\"mae\",\"mape\"])\n",
        "\n",
        "  return model"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 6.74 ms (started: 2021-05-08 14:53:27 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6exizqSm38u2"
      },
      "source": [
        "**TRAINING**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jfpbgTZL4KN5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "553b52f8-38c9-4dfa-bf0a-16c53a2cda31"
      },
      "source": [
        "X_train, y_train, X_test, y_test = data()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 904 ms (started: 2021-05-08 14:53:27 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ks0CRHG13_RM",
        "outputId": "05c31af2-c2be-43b3-9324-ed64229e8f2e"
      },
      "source": [
        "model = load_model()\n",
        "print(model.summary())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "Dense_Layer_01 (Dense)       (None, 128)               12928     \n",
            "_________________________________________________________________\n",
            "Dropout_Layer_01 (Dropout)   (None, 128)               0         \n",
            "_________________________________________________________________\n",
            "Dense_Layer_02 (Dense)       (None, 32)                4128      \n",
            "_________________________________________________________________\n",
            "Dense_Layer_03 (Dense)       (None, 16)                528       \n",
            "_________________________________________________________________\n",
            "Dense_Output_Layer_04 (Dense (None, 1)                 17        \n",
            "=================================================================\n",
            "Total params: 17,601\n",
            "Trainable params: 17,601\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "None\n",
            "time: 76 ms (started: 2021-05-08 14:53:27 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 94
        },
        "id": "7Q44o1IYXlox",
        "outputId": "8fb5b288-c690-4e4c-f857-57a317fec05c"
      },
      "source": [
        "plot_model(model, to_file='model.png', rankdir='LR')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "stream",
          "text": [
            "time: 98.4 ms (started: 2021-05-08 14:53:28 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TMYg4OyZ_Jr2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "01f52baf-1b8e-460a-8619-e5a1aea22599"
      },
      "source": [
        "logdir = os.path.join(\"logs\", datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\"))\n",
        "tensorboard_callback = tf.keras.callbacks.TensorBoard(logdir, histogram_freq=1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 240 ms (started: 2021-05-08 14:53:28 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "55FS5_kvU64E",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3a54c558-7056-48b9-fcf8-49d049cc80e4"
      },
      "source": [
        "es = EarlyStopping(monitor='val_loss', mode='min', patience=20, restore_best_weights=True, verbose=1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 1.34 ms (started: 2021-05-08 14:53:28 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QR7_3ygQ4CgP",
        "outputId": "13232b1b-e80e-468a-bec5-4b2074b7d897"
      },
      "source": [
        "history = model.fit(X_train, y_train, batch_size=128, epochs=100, verbose=1, validation_split=0.1, callbacks=[tensorboard_callback, es])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "36/36 [==============================] - 2s 24ms/step - loss: 99.4203 - mae: 99.9197 - mape: 72.2347 - val_loss: 32.0510 - val_mae: 32.5484 - val_mape: 23.2332\n",
            "Epoch 2/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 26.3632 - mae: 26.8595 - mape: 18.9776 - val_loss: 16.5571 - val_mae: 17.0456 - val_mape: 11.9268\n",
            "Epoch 3/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 17.3504 - mae: 17.8446 - mape: 12.5966 - val_loss: 13.3499 - val_mae: 13.8397 - val_mape: 9.6792\n",
            "Epoch 4/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 14.6815 - mae: 15.1743 - mape: 10.7199 - val_loss: 11.7668 - val_mae: 12.2555 - val_mape: 8.3814\n",
            "Epoch 5/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 12.6466 - mae: 13.1388 - mape: 9.3226 - val_loss: 11.8754 - val_mae: 12.3666 - val_mape: 8.5149\n",
            "Epoch 6/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 12.1737 - mae: 12.6651 - mape: 9.0146 - val_loss: 7.4688 - val_mae: 7.9524 - val_mape: 5.6474\n",
            "Epoch 7/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.9152 - mae: 11.4037 - mape: 8.1379 - val_loss: 7.0828 - val_mae: 7.5691 - val_mape: 5.3352\n",
            "Epoch 8/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.7870 - mae: 11.2777 - mape: 8.0650 - val_loss: 8.4826 - val_mae: 8.9675 - val_mape: 6.1818\n",
            "Epoch 9/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 11.2354 - mae: 11.7256 - mape: 8.3647 - val_loss: 7.9311 - val_mae: 8.4168 - val_mape: 6.1291\n",
            "Epoch 10/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.8223 - mae: 11.3128 - mape: 8.1017 - val_loss: 7.3685 - val_mae: 7.8575 - val_mape: 5.4925\n",
            "Epoch 11/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.2762 - mae: 10.7666 - mape: 7.7531 - val_loss: 6.6913 - val_mae: 7.1718 - val_mape: 5.0339\n",
            "Epoch 12/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.4026 - mae: 10.8942 - mape: 7.7858 - val_loss: 6.6498 - val_mae: 7.1335 - val_mape: 5.0777\n",
            "Epoch 13/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.9380 - mae: 11.4282 - mape: 8.1896 - val_loss: 6.8715 - val_mae: 7.3515 - val_mape: 5.1317\n",
            "Epoch 14/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 10.3922 - mae: 10.8818 - mape: 7.8114 - val_loss: 7.4781 - val_mae: 7.9595 - val_mape: 5.5061\n",
            "Epoch 15/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.0078 - mae: 10.4967 - mape: 7.5082 - val_loss: 7.1824 - val_mae: 7.6655 - val_mape: 5.5579\n",
            "Epoch 16/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.0027 - mae: 10.4918 - mape: 7.5266 - val_loss: 8.0614 - val_mae: 8.5474 - val_mape: 5.9176\n",
            "Epoch 17/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 9.9701 - mae: 10.4607 - mape: 7.4812 - val_loss: 6.3473 - val_mae: 6.8340 - val_mape: 4.8154\n",
            "Epoch 18/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 9.3189 - mae: 9.8087 - mape: 7.0070 - val_loss: 7.8593 - val_mae: 8.3448 - val_mape: 6.1159\n",
            "Epoch 19/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 10.2002 - mae: 10.6898 - mape: 7.6790 - val_loss: 6.5536 - val_mae: 7.0450 - val_mape: 5.0491\n",
            "Epoch 20/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 9.5054 - mae: 9.9951 - mape: 7.1448 - val_loss: 6.4105 - val_mae: 6.8910 - val_mape: 4.8165\n",
            "Epoch 21/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 9.2043 - mae: 9.6926 - mape: 6.9317 - val_loss: 6.3583 - val_mae: 6.8425 - val_mape: 4.8917\n",
            "Epoch 22/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 9.0156 - mae: 9.5055 - mape: 6.8287 - val_loss: 6.2613 - val_mae: 6.7430 - val_mape: 4.7738\n",
            "Epoch 23/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 9.1516 - mae: 9.6408 - mape: 6.9231 - val_loss: 6.2211 - val_mae: 6.7081 - val_mape: 4.7973\n",
            "Epoch 24/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 8.9418 - mae: 9.4315 - mape: 6.7458 - val_loss: 6.3402 - val_mae: 6.8227 - val_mape: 4.8982\n",
            "Epoch 25/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 9.4349 - mae: 9.9246 - mape: 7.1288 - val_loss: 7.8669 - val_mae: 8.3566 - val_mape: 6.1479\n",
            "Epoch 26/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 9.1566 - mae: 9.6452 - mape: 6.9335 - val_loss: 6.1113 - val_mae: 6.5959 - val_mape: 4.6705\n",
            "Epoch 27/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 8.3541 - mae: 8.8430 - mape: 6.3268 - val_loss: 6.2913 - val_mae: 6.7768 - val_mape: 4.7666\n",
            "Epoch 28/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 8.7459 - mae: 9.2340 - mape: 6.5774 - val_loss: 6.1503 - val_mae: 6.6311 - val_mape: 4.7355\n",
            "Epoch 29/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 8.2473 - mae: 8.7344 - mape: 6.2264 - val_loss: 6.2922 - val_mae: 6.7820 - val_mape: 4.8847\n",
            "Epoch 30/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 8.0154 - mae: 8.5033 - mape: 6.0778 - val_loss: 6.1856 - val_mae: 6.6731 - val_mape: 4.7300\n",
            "Epoch 31/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 7.6881 - mae: 8.1771 - mape: 5.8381 - val_loss: 6.4797 - val_mae: 6.9678 - val_mape: 5.0657\n",
            "Epoch 32/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 7.7602 - mae: 8.2471 - mape: 5.8855 - val_loss: 5.9229 - val_mae: 6.4046 - val_mape: 4.5614\n",
            "Epoch 33/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 7.1605 - mae: 7.6481 - mape: 5.4650 - val_loss: 6.7114 - val_mae: 7.1964 - val_mape: 4.9877\n",
            "Epoch 34/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 7.3588 - mae: 7.8463 - mape: 5.5626 - val_loss: 5.8780 - val_mae: 6.3592 - val_mape: 4.5309\n",
            "Epoch 35/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.9227 - mae: 7.4095 - mape: 5.2793 - val_loss: 5.9284 - val_mae: 6.4120 - val_mape: 4.5318\n",
            "Epoch 36/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.7094 - mae: 7.1954 - mape: 5.1044 - val_loss: 6.1183 - val_mae: 6.5991 - val_mape: 4.6224\n",
            "Epoch 37/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.7336 - mae: 7.2181 - mape: 5.1150 - val_loss: 6.3978 - val_mae: 6.8829 - val_mape: 5.0112\n",
            "Epoch 38/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.5417 - mae: 7.0239 - mape: 5.0183 - val_loss: 6.2757 - val_mae: 6.7592 - val_mape: 4.7156\n",
            "Epoch 39/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 6.5152 - mae: 7.0012 - mape: 4.9578 - val_loss: 6.1907 - val_mae: 6.6684 - val_mape: 4.6595\n",
            "Epoch 40/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.1642 - mae: 6.6445 - mape: 4.7011 - val_loss: 6.0224 - val_mae: 6.5050 - val_mape: 4.6559\n",
            "Epoch 41/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0490 - mae: 6.5308 - mape: 4.6405 - val_loss: 5.8730 - val_mae: 6.3576 - val_mape: 4.5328\n",
            "Epoch 42/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.2267 - mae: 6.7102 - mape: 4.7526 - val_loss: 5.8615 - val_mae: 6.3374 - val_mape: 4.5177\n",
            "Epoch 43/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.8713 - mae: 6.3510 - mape: 4.5069 - val_loss: 5.8334 - val_mae: 6.3165 - val_mape: 4.4726\n",
            "Epoch 44/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0247 - mae: 6.5052 - mape: 4.6040 - val_loss: 5.8399 - val_mae: 6.3206 - val_mape: 4.5365\n",
            "Epoch 45/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.3260 - mae: 6.8129 - mape: 4.8410 - val_loss: 5.7760 - val_mae: 6.2588 - val_mape: 4.4621\n",
            "Epoch 46/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8520 - mae: 6.3329 - mape: 4.4833 - val_loss: 5.6685 - val_mae: 6.1475 - val_mape: 4.3891\n",
            "Epoch 47/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.1184 - mae: 6.5995 - mape: 4.6887 - val_loss: 5.6418 - val_mae: 6.1180 - val_mape: 4.3616\n",
            "Epoch 48/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9441 - mae: 6.4273 - mape: 4.5535 - val_loss: 5.8159 - val_mae: 6.2949 - val_mape: 4.4220\n",
            "Epoch 49/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.9842 - mae: 6.4660 - mape: 4.5830 - val_loss: 5.6658 - val_mae: 6.1422 - val_mape: 4.3322\n",
            "Epoch 50/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.9184 - mae: 6.3992 - mape: 4.5240 - val_loss: 5.7975 - val_mae: 6.2798 - val_mape: 4.5424\n",
            "Epoch 51/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0864 - mae: 6.5708 - mape: 4.6634 - val_loss: 5.6349 - val_mae: 6.1174 - val_mape: 4.3781\n",
            "Epoch 52/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9207 - mae: 6.4024 - mape: 4.5416 - val_loss: 5.5761 - val_mae: 6.0596 - val_mape: 4.3070\n",
            "Epoch 53/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.6877 - mae: 6.1685 - mape: 4.3773 - val_loss: 5.7543 - val_mae: 6.2387 - val_mape: 4.5021\n",
            "Epoch 54/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0091 - mae: 6.4930 - mape: 4.5935 - val_loss: 6.0654 - val_mae: 6.5548 - val_mape: 4.7619\n",
            "Epoch 55/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 6.1198 - mae: 6.6026 - mape: 4.6830 - val_loss: 5.6272 - val_mae: 6.1063 - val_mape: 4.3565\n",
            "Epoch 56/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8712 - mae: 6.3530 - mape: 4.4986 - val_loss: 5.8072 - val_mae: 6.2864 - val_mape: 4.5575\n",
            "Epoch 57/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.1361 - mae: 6.6199 - mape: 4.7026 - val_loss: 5.5619 - val_mae: 6.0447 - val_mape: 4.2789\n",
            "Epoch 58/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9999 - mae: 6.4811 - mape: 4.5899 - val_loss: 6.1288 - val_mae: 6.6103 - val_mape: 4.6064\n",
            "Epoch 59/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9929 - mae: 6.4769 - mape: 4.5981 - val_loss: 5.6112 - val_mae: 6.0942 - val_mape: 4.3007\n",
            "Epoch 60/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9210 - mae: 6.4015 - mape: 4.5297 - val_loss: 5.6019 - val_mae: 6.0827 - val_mape: 4.3308\n",
            "Epoch 61/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9059 - mae: 6.3893 - mape: 4.5160 - val_loss: 5.6155 - val_mae: 6.1000 - val_mape: 4.3615\n",
            "Epoch 62/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.8581 - mae: 6.3391 - mape: 4.4990 - val_loss: 5.5298 - val_mae: 6.0160 - val_mape: 4.2884\n",
            "Epoch 63/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8104 - mae: 6.2914 - mape: 4.4589 - val_loss: 5.5592 - val_mae: 6.0419 - val_mape: 4.3163\n",
            "Epoch 64/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.7818 - mae: 6.2653 - mape: 4.4500 - val_loss: 5.9021 - val_mae: 6.3821 - val_mape: 4.4708\n",
            "Epoch 65/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.6811 - mae: 6.1596 - mape: 4.3547 - val_loss: 5.6066 - val_mae: 6.0873 - val_mape: 4.2926\n",
            "Epoch 66/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8647 - mae: 6.3462 - mape: 4.4969 - val_loss: 5.7501 - val_mae: 6.2295 - val_mape: 4.3729\n",
            "Epoch 67/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9110 - mae: 6.3943 - mape: 4.5301 - val_loss: 5.4814 - val_mae: 5.9644 - val_mape: 4.2316\n",
            "Epoch 68/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.8855 - mae: 6.3666 - mape: 4.5119 - val_loss: 5.5723 - val_mae: 6.0574 - val_mape: 4.3535\n",
            "Epoch 69/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8062 - mae: 6.2871 - mape: 4.4660 - val_loss: 6.0207 - val_mae: 6.4989 - val_mape: 4.5586\n",
            "Epoch 70/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8178 - mae: 6.2971 - mape: 4.4675 - val_loss: 5.8838 - val_mae: 6.3654 - val_mape: 4.4546\n",
            "Epoch 71/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9685 - mae: 6.4516 - mape: 4.5648 - val_loss: 5.4911 - val_mae: 5.9755 - val_mape: 4.2392\n",
            "Epoch 72/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.8277 - mae: 6.3084 - mape: 4.4677 - val_loss: 5.5813 - val_mae: 6.0651 - val_mape: 4.3455\n",
            "Epoch 73/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.8185 - mae: 6.3007 - mape: 4.4731 - val_loss: 5.4642 - val_mae: 5.9457 - val_mape: 4.2703\n",
            "Epoch 74/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0362 - mae: 6.5218 - mape: 4.6408 - val_loss: 6.0793 - val_mae: 6.5522 - val_mape: 4.5863\n",
            "Epoch 75/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0589 - mae: 6.5398 - mape: 4.6290 - val_loss: 5.5913 - val_mae: 6.0718 - val_mape: 4.2914\n",
            "Epoch 76/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9173 - mae: 6.4013 - mape: 4.5446 - val_loss: 5.6209 - val_mae: 6.1032 - val_mape: 4.3324\n",
            "Epoch 77/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.8789 - mae: 6.3620 - mape: 4.5109 - val_loss: 5.7294 - val_mae: 6.2133 - val_mape: 4.4942\n",
            "Epoch 78/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.9006 - mae: 6.3838 - mape: 4.5614 - val_loss: 5.7040 - val_mae: 6.1839 - val_mape: 4.3488\n",
            "Epoch 79/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.8045 - mae: 6.2881 - mape: 4.4714 - val_loss: 5.8421 - val_mae: 6.3228 - val_mape: 4.4306\n",
            "Epoch 80/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9166 - mae: 6.3984 - mape: 4.5380 - val_loss: 5.6091 - val_mae: 6.0902 - val_mape: 4.3916\n",
            "Epoch 81/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8795 - mae: 6.3620 - mape: 4.5109 - val_loss: 5.8493 - val_mae: 6.3299 - val_mape: 4.4223\n",
            "Epoch 82/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8807 - mae: 6.3626 - mape: 4.5063 - val_loss: 5.7031 - val_mae: 6.1879 - val_mape: 4.3482\n",
            "Epoch 83/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.9277 - mae: 6.4095 - mape: 4.5408 - val_loss: 5.7268 - val_mae: 6.2100 - val_mape: 4.3810\n",
            "Epoch 84/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9178 - mae: 6.3993 - mape: 4.5320 - val_loss: 5.5768 - val_mae: 6.0585 - val_mape: 4.3220\n",
            "Epoch 85/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9704 - mae: 6.4528 - mape: 4.5653 - val_loss: 5.5781 - val_mae: 6.0602 - val_mape: 4.2755\n",
            "Epoch 86/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8857 - mae: 6.3704 - mape: 4.5142 - val_loss: 5.5191 - val_mae: 6.0025 - val_mape: 4.3135\n",
            "Epoch 87/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0341 - mae: 6.5182 - mape: 4.6332 - val_loss: 5.8943 - val_mae: 6.3767 - val_mape: 4.4797\n",
            "Epoch 88/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 5.7989 - mae: 6.2787 - mape: 4.4400 - val_loss: 6.2313 - val_mae: 6.7128 - val_mape: 4.6696\n",
            "Epoch 89/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9563 - mae: 6.4358 - mape: 4.5623 - val_loss: 5.4931 - val_mae: 5.9788 - val_mape: 4.2867\n",
            "Epoch 90/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.7770 - mae: 6.2586 - mape: 4.4510 - val_loss: 6.1090 - val_mae: 6.5900 - val_mape: 4.6077\n",
            "Epoch 91/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8481 - mae: 6.3295 - mape: 4.4744 - val_loss: 6.6001 - val_mae: 7.0808 - val_mape: 4.9124\n",
            "Epoch 92/100\n",
            "36/36 [==============================] - 0s 4ms/step - loss: 6.4510 - mae: 6.9369 - mape: 4.8986 - val_loss: 6.0083 - val_mae: 6.4885 - val_mape: 4.5283\n",
            "Epoch 93/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9465 - mae: 6.4301 - mape: 4.5331 - val_loss: 5.4621 - val_mae: 5.9448 - val_mape: 4.2484\n",
            "Epoch 94/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9599 - mae: 6.4430 - mape: 4.5755 - val_loss: 5.7252 - val_mae: 6.2146 - val_mape: 4.4618\n",
            "Epoch 95/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.1417 - mae: 6.6267 - mape: 4.6914 - val_loss: 5.8442 - val_mae: 6.3321 - val_mape: 4.4311\n",
            "Epoch 96/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9165 - mae: 6.4003 - mape: 4.5237 - val_loss: 5.6073 - val_mae: 6.0880 - val_mape: 4.2817\n",
            "Epoch 97/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8608 - mae: 6.3436 - mape: 4.5032 - val_loss: 5.6856 - val_mae: 6.1688 - val_mape: 4.3410\n",
            "Epoch 98/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.9114 - mae: 6.3947 - mape: 4.5279 - val_loss: 5.5215 - val_mae: 6.0013 - val_mape: 4.3163\n",
            "Epoch 99/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 6.0597 - mae: 6.5428 - mape: 4.6442 - val_loss: 5.7691 - val_mae: 6.2511 - val_mape: 4.4018\n",
            "Epoch 100/100\n",
            "36/36 [==============================] - 0s 3ms/step - loss: 5.8549 - mae: 6.3385 - mape: 4.4940 - val_loss: 5.7333 - val_mae: 6.2157 - val_mape: 4.3559\n",
            "time: 15.1 s (started: 2021-05-08 14:53:28 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "id": "9ZUiUV-z5Rob",
        "outputId": "8b6af8ac-c6c8-4baa-8322-02043ae8bae7"
      },
      "source": [
        "plt.plot(history.history['loss'])\n",
        "plt.plot(history.history['val_loss'])\n",
        "plt.title('model loss')\n",
        "plt.ylabel('loss')\n",
        "plt.xlabel('epoch')\n",
        "plt.legend(['train', 'validation'], loc='upper left')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "time: 153 ms (started: 2021-05-08 14:53:43 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "https://localhost:6006/?tensorboardColab=true": {
              "data": "<!doctype html><meta name="tb-relative-root" content="./"><!doctype html><!--
@license
Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
--><html><head><meta charset="utf-8">
<title>TensorBoard</title>
<link rel="shortcut icon" 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">
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">

<style>
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/uYECMKoHcO9x1wdmbyHIm3-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/sTdaA6j0Psb920Vjv-mrzH-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/_VYFx-s824kXq_Ul2BHqYH-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0370-03FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/tnj4SB6DNbdaQnsM8CFqBX-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+1F00-1FFF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/oMMgfZMQthOryQo9n22dcuvvDin1pK8aKteLpeZ5c0A.woff2) format('woff2');
  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2074, U+20AC, U+2212, U+2215;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/Ks_cVxiCiwUWVsFWFA3Bjn-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0100-024F, U+1E00-1EFF, U+20A0-20AB, U+20AD-20CF, U+2C60-2C7F, U+A720-A7FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/NJ4vxlgWwWbEsv18dAhqnn-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0102-0103, U+1EA0-1EF9, U+20AB;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/isZ-wbCXNKAbnjo6_TwHToX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/77FXFjRbGzN4aCrSFhlh3oX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/jSN2CGVDbcVyCnfJfjSdfIX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0370-03FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/UX6i4JxQDm3fVTc1CPuwqoX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+1F00-1FFF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
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@font-face {
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}
</style>



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<style>
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    margin: 0;
    padding: 0;
    height: 100%;
    font-family: Roboto, sans-serif;
    color: var(--primary-text-color);

    /* Legacy mechanism to avoid issues with subpixel anti-aliasing on macOS.
     *
     * In the past [1], macOS subpixel AA caused excessive bolding for light-on-dark text; this rule
     * avoids that by requesting non-subpixel AA always, rather than the default behavior, which is
     * to use subpixel AA when available. The original issue was "fixed" by removing subpixel AA in
     * macOS 14 (Mojave), but for legacy reasons they preserved the bolding effect as an option.
     * Chrome then in turn updated its font rendering to apply that bolding effect [2], which means
     * that even though the `-webkit-font-smoothing` docs [3] suggest that setting `antialiased`
     * would have no effect for recent versions of macOS, it still is needed to avoid the bolding.
     *
     * [1]: http://www.lighterra.com/articles/macosxtextaabug/
     * [2]: https://bugs.chromium.org/p/chromium/issues/detail?id=858861
     * [3]: https://developer.mozilla.org/en-US/docs/Web/CSS/font-smooth
     *
     */

    -webkit-font-smoothing: antialiased;
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</style>

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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "font/woff2"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 855
        },
        "id": "8AwWlTO8_XQW",
        "outputId": "4a0f7bdc-419d-4445-ba05-2c6591e4d065"
      },
      "source": [
        "%tensorboard --logdir logs"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Reusing TensorBoard on port 6006 (pid 561), started 0:17:19 ago. (Use '!kill 561' to kill it.)"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        (async () => {\n",
              "            const url = new URL(await google.colab.kernel.proxyPort(6006, {'cache': true}));\n",
              "            url.searchParams.set('tensorboardColab', 'true');\n",
              "            const iframe = document.createElement('iframe');\n",
              "            iframe.src = url;\n",
              "            iframe.setAttribute('width', '100%');\n",
              "            iframe.setAttribute('height', '800');\n",
              "            iframe.setAttribute('frameborder', 0);\n",
              "            document.body.appendChild(iframe);\n",
              "        })();\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "time: 8.61 ms (started: 2021-05-08 14:53:43 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rDE_W20y5h60"
      },
      "source": [
        "**EVALUATION**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pf7yFb7G5kjI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "27715732-5d41-4509-ae0b-87f144dfb5dc"
      },
      "source": [
        "predictions = model.predict(X_test)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "time: 96.5 ms (started: 2021-05-08 14:53:43 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J3vPgvre5srn",
        "outputId": "8f9d6104-a4e6-4252-8a54-202e15f8569a"
      },
      "source": [
        "average_loss = 0\n",
        "average_loss_percentage = 0\n",
        "average_loss_percentage_rel_range = 0\n",
        "counter = 0\n",
        "rms = 0\n",
        "\n",
        "error_ranges = np.array((0,0,0,0,0,0))\n",
        "\n",
        "max_value = -999999.99\n",
        "min_value = 999999.99\n",
        "\n",
        "for label in y_test:\n",
        "    if(label > max_value):\n",
        "        max_value = label\n",
        "        \n",
        "    if(label < min_value):\n",
        "        min_value = label\n",
        "        \n",
        "label_range = abs(max_value - min_value)\n",
        "\n",
        "\n",
        "for i,prediction in enumerate(predictions):\n",
        "    ##print(\"Prediction: \" + str(prediction))\n",
        "    ##print(\"Label: \" + str(y_test[i]))\n",
        "    ##print(\"Absolute Error: \" + str(abs(prediction - y_test[i])))\n",
        "    percentage_difference = abs((abs(prediction - y_test[i]) / y_test[i]) * 100)\n",
        "    ##print(\"Absolute Percentage Error: \" + str(percentage_difference) + \"%\")\n",
        "    percentage_difference2 = abs((abs(prediction - y_test[i]) / label_range) * 100)\n",
        "    ##print(\"Absolute Percentage Error relative to Label Range: \" + str(percentage_difference2) + \"%\")\n",
        "    ##print()\n",
        "    loss = abs(prediction - y_test[i])\n",
        "    average_loss += loss\n",
        "\n",
        "    rms += loss**2\n",
        "\n",
        "    if(loss <= 1.0):\n",
        "      error_ranges[0] += 1\n",
        "    elif(loss <= 2.0):\n",
        "      error_ranges[1] += 1\n",
        "    elif(loss <= 4.0):\n",
        "      error_ranges[2] += 1\n",
        "    elif(loss <= 8.0):\n",
        "      error_ranges[3] += 1\n",
        "    elif(loss <= 10.0):\n",
        "      error_ranges[4] += 1\n",
        "    else:\n",
        "      error_ranges[5] += 1\n",
        "\n",
        "    average_loss_percentage += percentage_difference\n",
        "    average_loss_percentage_rel_range += percentage_difference2\n",
        "    counter += 1\n",
        "\n",
        "rms = math.sqrt(rms / counter)\n",
        "\n",
        "print()\n",
        "print(\"-=-=-=-=-=-=-=-=-\")\n",
        "print(\"SUMMARY:\")\n",
        "print(\"-=-=-=-=-=-=-=-=-\")\n",
        "print(\"Root Mean Squared Error: \" + str(rms))\n",
        "print(\"Mean Absolute Error: \" + str(average_loss / counter))\n",
        "print(\"Mean Absolute Percentage Error: \" + str(average_loss_percentage / counter) + \"%\")\n",
        "print(\"Mean Absolute Percentage Error relative to Label Range: \" + str(average_loss_percentage_rel_range / counter) + \"%\")\n",
        "print(\"Accuracy: \" + str(100 - (average_loss_percentage / counter)) + \"%\")\n",
        "print()\n",
        "print(\"BREAKDOWN:\")\n",
        "print(\"   Error <= 1.0 kJ/mol: \" + str(error_ranges[0]) + \" or \" + str((error_ranges[0] / counter) * 100) + \"% of Test Set\")\n",
        "print(\"   Error <= 2.0 kJ/mol: \" + str(error_ranges[1]) + \" or \" + str((error_ranges[1] / counter) * 100) + \"% of Test Set\")\n",
        "print(\"   Error <= 4.0 kJ/mol: \" + str(error_ranges[2]) + \" or \" + str((error_ranges[2] / counter) * 100) + \"% of Test Set\")\n",
        "print(\"   Error <= 8.0 kJ/mol: \" + str(error_ranges[3]) + \" or \" + str((error_ranges[3] / counter) * 100) + \"% of Test Set\")\n",
        "print(\"   Error <= 10.0.0 kJ/mol: \" + str(error_ranges[4]) + \" or \" + str((error_ranges[4] / counter) * 100) + \"% of Test Set\")\n",
        "print(\"   Error > 10.0 kJ/mol: \" + str(error_ranges[5]) + \" or \" + str((error_ranges[5] / counter) * 100) + \"% of Test Set\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "-=-=-=-=-=-=-=-=-\n",
            "SUMMARY:\n",
            "-=-=-=-=-=-=-=-=-\n",
            "Root Mean Squared Error: 8.252257255199757\n",
            "Mean Absolute Error: [6.24559223]\n",
            "Mean Absolute Percentage Error: [4.3678356]%\n",
            "Mean Absolute Percentage Error relative to Label Range: [6.92414454]%\n",
            "Accuracy: [95.6321644]%\n",
            "\n",
            "BREAKDOWN:\n",
            "   Error <= 1.0 kJ/mol: 63 or 11.091549295774648% of Test Set\n",
            "   Error <= 2.0 kJ/mol: 66 or 11.619718309859154% of Test Set\n",
            "   Error <= 4.0 kJ/mol: 130 or 22.887323943661972% of Test Set\n",
            "   Error <= 8.0 kJ/mol: 148 or 26.056338028169012% of Test Set\n",
            "   Error <= 10.0.0 kJ/mol: 41 or 7.21830985915493% of Test Set\n",
            "   Error > 10.0 kJ/mol: 120 or 21.12676056338028% of Test Set\n",
            "time: 59.1 ms (started: 2021-05-08 14:53:43 +00:00)\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}