LSTN(変数の考慮あり).ipynb

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        "<a href=\"https://colab.research.google.com/github/Ken-huea/Language-processing/blob/main/LSTN(%E5%A4%89%E6%95%B0%E3%81%AE%E8%80%83%E6%85%AE%E3%81%82%E3%82%8A).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ygm_ny4zqMeC"
      },
      "source": [
        "# LSTN(変数の考慮あり)\n",
        "\n",
        "今回は過去の<font color=\"red\">「気温」「日照時間」</font>のデータを用いて、未来の「気温」を予測してみます。"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "grzGlzz_qMeD"
      },
      "source": [
        "### データの読込と確認"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ライブラリの読み込みと各種設定\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib import rcParams"
      ],
      "metadata": {
        "id": "yUDQoCKmYhd3"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "weather_df = pd.read_csv(\"/content/LSTNによる毎週の気温予測(変数の考慮無し) (2).csv\", index_col='年月日', encoding=\"shift-jis\")\n",
        "#データ読み込みで年月日をindexに格納。\n",
        "weather_df.head(5)"
      ],
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            "text/plain": [
              "          平均気温(℃)  降水量の合計(mm)  日照時間(時間)\n",
              "年月日                                    \n",
              "2010/1/1      4.8         0.0       9.2\n",
              "2010/1/2      6.3         0.0       9.0\n",
              "2010/1/3      5.7         0.0       6.6\n",
              "2010/1/4      6.5         0.0       5.2\n",
              "2010/1/5      7.3         2.5       8.1"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>平均気温(℃)</th>\n",
              "      <th>降水量の合計(mm)</th>\n",
              "      <th>日照時間(時間)</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>年月日</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2010/1/1</th>\n",
              "      <td>4.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010/1/2</th>\n",
              "      <td>6.3</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010/1/3</th>\n",
              "      <td>5.7</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010/1/4</th>\n",
              "      <td>6.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010/1/5</th>\n",
              "      <td>7.3</td>\n",
              "      <td>2.5</td>\n",
              "      <td>8.1</td>\n",
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          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### データ整形"
      ],
      "metadata": {
        "id": "D3LFrFAralY-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "weather_df.head(5)"
      ],
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        "id": "vpeN-ciHarJ_",
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      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          平均気温(℃)  降水量の合計(mm)  日照時間(時間)\n",
              "年月日                                    \n",
              "2010/1/1      4.8         0.0       9.2\n",
              "2010/1/2      6.3         0.0       9.0\n",
              "2010/1/3      5.7         0.0       6.6\n",
              "2010/1/4      6.5         0.0       5.2\n",
              "2010/1/5      7.3         2.5       8.1"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>平均気温(℃)</th>\n",
              "      <th>降水量の合計(mm)</th>\n",
              "      <th>日照時間(時間)</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>年月日</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2010/1/1</th>\n",
              "      <td>4.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010/1/2</th>\n",
              "      <td>6.3</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010/1/3</th>\n",
              "      <td>5.7</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.6</td>\n",
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              "    <tr>\n",
              "      <th>2010/1/4</th>\n",
              "      <td>6.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010/1/5</th>\n",
              "      <td>7.3</td>\n",
              "      <td>2.5</td>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 正規化（Normarization）\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "scaler_x1 = MinMaxScaler()\n",
        "x1 = scaler_x1.fit_transform(weather_df['平均気温(℃)'].values.reshape(weather_df['平均気温(℃)'].shape[0],1))\n",
        "x1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "br7Z181EaAVi",
        "outputId": "1a57d513-aa36-4f46-8cdb-4b338e183815"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.14457831],\n",
              "       [0.18975904],\n",
              "       [0.17168675],\n",
              "       ...,\n",
              "       [0.21084337],\n",
              "       [0.20180723],\n",
              "       [0.24698795]])"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "collapsed": true,
        "id": "VCBD5rLoqMeD",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "07d7bc8b-40fc-4669-e350-0e02eaa1ea17"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.67647059],\n",
              "       [0.66176471],\n",
              "       [0.48529412],\n",
              "       ...,\n",
              "       [0.61029412],\n",
              "       [0.        ],\n",
              "       [0.63235294]])"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "scaler_x2 = MinMaxScaler()\n",
        "x2 = scaler_x2.fit_transform(weather_df['日照時間(時間)'].values.reshape(weather_df['日照時間(時間)'].shape[0],1))\n",
        "x2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "collapsed": true,
        "id": "onfBU-55qMeE"
      },
      "outputs": [],
      "source": [
        "# 説明変数を格納\n",
        "data_X = []\n",
        "# 目的変数を格納\n",
        "data_y = []\n",
        "# 時数（どこまで過去のデータを考慮したいか）\n",
        "p = 10\n",
        "for i in range(len(weather_df)-p):\n",
        "    data_X.append([x1[i:i+p].flatten(),x2[i:i+p].flatten()])\n",
        "    data_y.append(x1[i+p])\n",
        "    \n",
        "data_X = np.array(data_X)\n",
        "data_y = np.array(data_y)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### データ分割"
      ],
      "metadata": {
        "id": "wzLq0gE5bXlW"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kgHuIvD9qMeF",
        "outputId": "67a508d1-4cfb-4862-8aeb-012ee9a51367"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2549 1093\n"
          ]
        }
      ],
      "source": [
        "# 訓練データとテストデータに分けます。\n",
        "len_train = int(len(data_X)*0.7)\n",
        "\n",
        "X_train = data_X[:len_train]\n",
        "X_test = data_X[len_train:]\n",
        "y_train = data_y[:len_train]\n",
        "y_test = data_y[len_train:]\n",
        "\n",
        "print(len(X_train),len(X_test))"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "気温と日照時間を用いるのでinput=2にする。"
      ],
      "metadata": {
        "id": "CoAMF39C0c23"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### モデル学習"
      ],
      "metadata": {
        "id": "hV9LHQjsbcdA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.layers import LSTM,Dense\n",
        "from keras import models"
      ],
      "metadata": {
        "id": "f7bgAB0lXnnA"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "collapsed": true,
        "id": "76u7cg8vqMeF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0ccc7e49-ace9-4db8-eb2d-91b3dc7e4203"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " lstm (LSTM)                 (None, 100)               44400     \n",
            "                                                                 \n",
            " dense (Dense)               (None, 1)                 101       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 44,501\n",
            "Trainable params: 44,501\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "# 時数（どこまで過去のデータを考慮したいか）\n",
        "p = 10\n",
        "\n",
        "# モデル定義\n",
        "model = models.Sequential()\n",
        "model.add(\n",
        "    LSTM(\n",
        "        100, \n",
        "        activation='tanh', \n",
        "        input_shape=(2, p)\n",
        "    )\n",
        ")\n",
        "model.add(Dense(1,activation='linear'))\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 学習設定\n",
        "model.compile(\n",
        "    loss='mean_squared_error', \n",
        "    optimizer='adam', \n",
        ")"
      ],
      "metadata": {
        "id": "VLzXYPDqZIC3"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ハイパーパラメータ\n",
        "batch_size = 128  # バッチサイズ 32,64,128,256,512 あたり\n",
        "epochs = 10       # エポック数(学習の繰り返し回数)\n",
        "val_split = 0.1   # 訓練データのうちx%をvalidation dataとして分割して使います。\n",
        "pati_time = 10    # y回学習しても向上しない場合は学習を打ち切ります。"
      ],
      "metadata": {
        "id": "wP9qy0QPZWWB"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from keras import callbacks                   # コールバック（1epoch終了毎に呼び出される）\n",
        "\n",
        "    # 構築したモデルで学習（学習データ:trainのうち、10％を検証データ:validationとして使用）\n",
        "history = model.fit(X_train, \n",
        "                    y_train, \n",
        "                    batch_size=batch_size, \n",
        "                    epochs=epochs, \n",
        "                    verbose=1, \n",
        "                    validation_split=val_split,\n",
        "                        callbacks=[\n",
        "                            callbacks.EarlyStopping(monitor='val_loss',patience = pati_time),\n",
        "                            callbacks.ModelCheckpoint(filepath = './model/best_model.h5',monitor='val_loss', save_best_only=True)\n",
        "                            ]\n",
        "                    )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ur9GvVFvZQ6f",
        "outputId": "13533e56-8bfb-46ca-ca43-80b333b8a45f"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "18/18 [==============================] - 3s 54ms/step - loss: 0.0654 - val_loss: 0.0215\n",
            "Epoch 2/10\n",
            "18/18 [==============================] - 0s 9ms/step - loss: 0.0253 - val_loss: 0.0265\n",
            "Epoch 3/10\n",
            "18/18 [==============================] - 0s 11ms/step - loss: 0.0196 - val_loss: 0.0147\n",
            "Epoch 4/10\n",
            "18/18 [==============================] - 0s 10ms/step - loss: 0.0142 - val_loss: 0.0108\n",
            "Epoch 5/10\n",
            "18/18 [==============================] - 0s 10ms/step - loss: 0.0097 - val_loss: 0.0077\n",
            "Epoch 6/10\n",
            "18/18 [==============================] - 0s 11ms/step - loss: 0.0071 - val_loss: 0.0059\n",
            "Epoch 7/10\n",
            "18/18 [==============================] - 0s 10ms/step - loss: 0.0061 - val_loss: 0.0056\n",
            "Epoch 8/10\n",
            "18/18 [==============================] - 0s 11ms/step - loss: 0.0057 - val_loss: 0.0054\n",
            "Epoch 9/10\n",
            "18/18 [==============================] - 0s 11ms/step - loss: 0.0053 - val_loss: 0.0053\n",
            "Epoch 10/10\n",
            "18/18 [==============================] - 0s 9ms/step - loss: 0.0052 - val_loss: 0.0054\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 可視化と精度評価"
      ],
      "metadata": {
        "id": "-B3unpA9bjE_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# loss の 学習過程のプロット\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "plt.figure(figsize=(10,6))\n",
        "\n",
        "plt.plot(history.epoch, history.history[\"loss\"], label=\"loss\")\n",
        "plt.plot(history.epoch, history.history[\"val_loss\"], label=\"val_loss\")\n",
        "\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        },
        "id": "dgnTHrFxbl3v",
        "outputId": "eae458bb-b3ef-4461-b320-1474c50f7dc0"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f003ef7a7d0>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 995
        },
        "id": "LF9X8pg1qMeH",
        "outputId": "fa577d87-c7ee-432f-85fd-b359f88e2e58"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f003dbf7410>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 20104 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 28204 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 20516 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 23455 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 20104 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 28204 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 20516 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 23455 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x864 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# 予測\n",
        "fig = plt.subplots(figsize=(20,12))\n",
        "y_prediction = model.predict(X_test).flatten()\n",
        "\n",
        "plt.plot(y_prediction, label='予測値')\n",
        "plt.plot(y_test, label='実測値')\n",
        "plt.legend()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# テストデータを用いた最終的、パフォーマンス計測\n",
        "score = model.evaluate(X_test, \n",
        "                            y_test,\n",
        "                            verbose=0\n",
        "                            )\n",
        " \n",
        "# print(\"testデータでのloss：\",score[0]) # lossの表示。\n",
        "# print(\"testデータでのaccuracy：\",score[1]) # accuracyの表示。\n",
        "\n",
        "score"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9fpI4gDTYIkH",
        "outputId": "a782721c-bade-4ba3-daf7-761bf69af984"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.005218328908085823"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.8"
    },
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "grzGlzz_qMeD",
        "D3LFrFAralY-",
        "wzLq0gE5bXlW",
        "hV9LHQjsbcdA",
        "-B3unpA9bjE_"
      ],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}