{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Sns7FPtGyi-v"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "sns.set_style(\"darkgrid\", {\"grid.color\": \".6\",\n",
        "\t\t\t\t\t\t\"grid.linestyle\": \":\"})\n",
        "\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import PolynomialFeatures\n",
        "from sklearn.pipeline import make_pipeline\n",
        "from sklearn.linear_model import Lasso\n",
        "\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from xgboost import XGBRegressor\n",
        "from sklearn.metrics import r2_score\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.model_selection import GridSearchCV"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# read dataset using pndas function\n",
        "# use parse_dates argument to change datetime dtype\n",
        "dataset = pd.read_csv(\"gold_price_data.csv\", parse_dates=[\"Date\"])"
      ],
      "metadata": {
        "id": "JBjfVRdzyvE0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# information about the dataset\n",
        "dataset.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ouMqoFn7ywrb",
        "outputId": "a04153b7-a83a-4487-81b7-df7e017035b3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2290 entries, 0 to 2289\n",
            "Data columns (total 6 columns):\n",
            " #   Column   Non-Null Count  Dtype         \n",
            "---  ------   --------------  -----         \n",
            " 0   Date     2290 non-null   datetime64[ns]\n",
            " 1   SPX      2290 non-null   float64       \n",
            " 2   GLD      2290 non-null   float64       \n",
            " 3   USO      2290 non-null   float64       \n",
            " 4   SLV      2290 non-null   float64       \n",
            " 5   EUR/USD  2290 non-null   float64       \n",
            "dtypes: datetime64[ns](1), float64(5)\n",
            "memory usage: 107.5 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Missing Values/Null Values Count\n",
        "dataset.isna().sum().sort_values(ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "id": "cNR5Dix0yxy2",
        "outputId": "fa6ef63e-8e07-4495-eacc-7bc528bc3ab8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date       0\n",
              "SPX        0\n",
              "GLD        0\n",
              "USO        0\n",
              "SLV        0\n",
              "EUR/USD    0\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SPX</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GLD</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USO</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SLV</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EUR/USD</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate correlation matrix\n",
        "correlation = dataset.corr()\n",
        "\n",
        "# Create heatmap\n",
        "sns.heatmap(correlation, cmap='coolwarm',\n",
        "\t\t\tcenter=0, annot=True)\n",
        "\n",
        "# Set title and axis labels\n",
        "plt.title('Correlation Matrix Heatmap')\n",
        "plt.xlabel('Features')\n",
        "plt.ylabel('Features')\n",
        "\n",
        "# Show plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "E37FqHF6yzBT",
        "outputId": "096572c6-3349-4171-c1f4-31e180443efb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# drop SlV column\n",
        "dataset.drop(\"SLV\", axis=1,\n",
        "\t\t\tinplace=True)"
      ],
      "metadata": {
        "id": "HoFDBuhYy0X9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# reset the index to date column\n",
        "dataset.set_index(\"Date\", inplace=True)"
      ],
      "metadata": {
        "id": "ga5TQiGly2B2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# plot price of gold for each increasing day\n",
        "dataset[\"EUR/USD\"].plot()\n",
        "plt.title(\"Change in price of gold through date\")\n",
        "plt.xlabel(\"date\")\n",
        "plt.ylabel(\"price\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        },
        "id": "xYJP5Jiky3Vr",
        "outputId": "8b0b19a6-de90-4474-9103-55a8f3609c55"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# apply rolling mean with window size of 3\n",
        "dataset[\"price_trend\"] = dataset[\"EUR/USD\"]\\\n",
        "\t.rolling(window=20).mean()\n",
        "\n",
        "# reset the index to date column\n",
        "dataset.reset_index(\"Date\", inplace=True)\n",
        "\n",
        "# since we have used rolling method\n",
        "# for 20 rows first 2 rows will be NAN\n",
        "dataset[\"price_trend\"].loc[20:].plot()\n",
        "\n",
        "# set title of the chart\n",
        "plt.title(\"Trend in price of gold through date\")\n",
        "\n",
        "# set x_label of the plot\n",
        "plt.xlabel(\"date\")\n",
        "plt.ylabel(\"price\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "56HRE20Ry5Ik",
        "outputId": "f8847f7b-9eb2-483c-e731-590473e959dc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(8, 8))\n",
        "\n",
        "# suptitle of the graph\n",
        "fig.suptitle('Distribution of data across column')\n",
        "temp = dataset.drop(\"Date\", axis=1).columns.tolist()\n",
        "for i, item in enumerate(temp):\n",
        "\tplt.subplot(2, 3, i+1)\n",
        "\tsns.histplot(data=dataset, x=item, kde=True)\n",
        "plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=2.0)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 815
        },
        "id": "sp8cAb13y6N2",
        "outputId": "5bf3cd24-0029-46e9-acf1-5c925b68cae7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 5 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# skewness along the index axis\n",
        "print(dataset.drop(\"Date\", axis=1).skew(axis=0, skipna=True))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4_lUDvqAy7Ss",
        "outputId": "264dfa72-02f4-44d7-8870-b31669e75186"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SPX            0.300362\n",
            "GLD            0.334138\n",
            "USO            1.699331\n",
            "EUR/USD       -0.005292\n",
            "price_trend   -0.029588\n",
            "dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# apply saquare root transformation\n",
        "# on the skewed dataset\n",
        "dataset[\"USO\"] = dataset[\"USO\"].apply(lambda x: np.sqrt(x))"
      ],
      "metadata": {
        "id": "nwjTSURxy8TY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(8, 8))\n",
        "temp = dataset.drop(\"Date\", axis=1).columns.tolist()\n",
        "for i, item in enumerate(temp):\n",
        "\tplt.subplot(2, 3, i+1)\n",
        "\tsns.boxplot(data=dataset, x=item, color='violet')\n",
        "plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=2.0)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 825
        },
        "id": "IJv7Ogzty9i9",
        "outputId": "606b3660-ab51-45ab-96bb-ffa9058b1937"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 5 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def outlier_removal(column):\n",
        "\t# Capping the outlier rows with Percentiles\n",
        "\tupper_limit = column.quantile(.95)\n",
        "\t# set upper limit to 95percentile\n",
        "\tlower_limit = column.quantile(.05)\n",
        "\t# set lower limit to 5 percentile\n",
        "\tcolumn.loc[(column > upper_limit)] = upper_limit\n",
        "\tcolumn.loc[(column < lower_limit)] = lower_limit\n",
        "\treturn column"
      ],
      "metadata": {
        "id": "LqYgRSTSy_zA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Normalize outliers in columns except Date\n",
        "\n",
        "dataset[['SPX', 'GLD', 'USO', 'EUR/USD']] = dataset[['SPX', 'GLD', 'USO', 'EUR/USD']].apply(outlier_removal)"
      ],
      "metadata": {
        "id": "zlpC-8r1zBCz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# select the features and target variable\n",
        "X = dataset.drop(['Date', 'EUR/USD'], axis=1)\n",
        "\n",
        "y = dataset['EUR/USD']\n",
        "# dividing dataset in to train test\n",
        "x_train, x_test, y_train, y_test = train_test_split(X, y,\n",
        "\t\t\t\t\t\t\t\t\ttest_size=0.2)"
      ],
      "metadata": {
        "id": "XZxNjX2MzC7s"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create an instance of the StandardScaler\n",
        "scaler = StandardScaler()\n",
        "\n",
        "# Fit the StandardScaler on the training dataset\n",
        "scaler.fit(x_train)\n",
        "\n",
        "# Transform the training dataset\n",
        "# using the StandardScaler\n",
        "x_train_scaled = scaler.transform(x_train)\n",
        "x_test_scaled = scaler.transform(x_test)"
      ],
      "metadata": {
        "id": "Uku71JD7zFgY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "source": [
        "# Impute missing values using SimpleImputer\n",
        "from sklearn.impute import SimpleImputer\n",
        "imputer = SimpleImputer(strategy='mean') # Replace NaNs with the mean of each column\n",
        "\n",
        "# Fit and transform the imputer on the scaled training data\n",
        "x_train_scaled = imputer.fit_transform(x_train_scaled)\n",
        "\n",
        "# Transform the scaled test data using the trained imputer\n",
        "x_test_scaled = imputer.transform(x_test_scaled)\n",
        "\n",
        "# Create a PolynomialFeatures object of degree 2\n",
        "poly = PolynomialFeatures(degree=2)\n",
        "\n",
        "# Create a Lasso object\n",
        "lasso = Lasso()\n",
        "\n",
        "# Define a dictionary of parameter\n",
        "#values to search over\n",
        "param_grid = {'lasso__alpha': [1e-4, 1e-3, 1e-2,\n",
        "\t\t\t\t\t\t\t1e-1, 1, 5, 10,\n",
        "\t\t\t\t\t\t\t20, 30, 40]}\n",
        "\n",
        "# Create a pipeline that first applies\n",
        "# polynomial features and then applies Lasso regression\n",
        "pipeline = make_pipeline(poly, lasso)\n",
        "\n",
        "# Create a GridSearchCV object with\n",
        "#the pipeline and parameter grid\n",
        "lasso_grid_search = GridSearchCV(pipeline,\n",
        "\t\t\t\t\t\t\t\tparam_grid,\n",
        "\t\t\t\t\t\t\t\tscoring='r2', cv=3)\n",
        "\n",
        "# Fit the GridSearchCV object to the training data\n",
        "lasso_grid_search.fit(x_train_scaled, y_train)\n",
        "\n",
        "# Predict the target variable using\n",
        "# the fitted model and the test data\n",
        "y_pred = lasso_grid_search.predict(x_train_scaled)\n",
        "\n",
        "# Compute the R-squared of the fitted model on the train data\n",
        "r2 = r2_score(y_train, y_pred)\n",
        "\n",
        "# Print the R-squared\n",
        "print(\"R-squared: \", r2)\n",
        "\n",
        "# Print the best parameter values and score\n",
        "print('Best parameter values: ',\n",
        "\tlasso_grid_search.best_params_)\n",
        "print('Best score: ',\n",
        "\tlasso_grid_search.best_score_)"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W4aIZDsF0Z-7",
        "outputId": "5a97e249-c99a-43b4-e472-5f0307ba89f0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "R-squared:  0.9672083964521433\n",
            "Best parameter values:  {'lasso__alpha': 0.0001}\n",
            "Best score:  0.9667179840488848\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Insiate param grid for which to search\n",
        "param_grid = {'n_estimators': [50, 80, 100],\n",
        "\t\t\t'max_depth': [3, 5, 7]}\n",
        "\n",
        "# create instance of the Randomforest regressor\n",
        "rf = RandomForestRegressor()\n",
        "\n",
        "# Define Girdsearch with random forest\n",
        "# object parameter grid scoring and cv\n",
        "rf_grid_search = GridSearchCV(rf, param_grid, scoring='r2', cv=2)\n",
        "\n",
        "# Fit the GridSearchCV object to the training data\n",
        "\n",
        "rf_grid_search.fit(x_train_scaled, y_train)\n",
        "\n",
        "# Print the best parameter values and score\n",
        "print('Best parameter values: ', rf_grid_search.best_params_)\n",
        "print('Best score: ', rf_grid_search.best_score_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e7IPPzu_zL1N",
        "outputId": "59cbb39c-4f65-4c29-c6f5-ce86410ca467"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best parameter values:  {'max_depth': 7, 'n_estimators': 80}\n",
            "Best score:  0.976178800252065\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Compute the R-squared of the\n",
        "# fitted model on the test data\n",
        "r2 = r2_score(y_test,\n",
        "\t\t\trf_grid_search.predict(x_test_scaled))\n",
        "\n",
        "# Print the R-squared\n",
        "print(\"R-squared:\", r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LMVHih9WzNFt",
        "outputId": "59de99ac-e002-4c1f-f31f-5aacdb4a14b3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "R-squared: 0.9735958154503389\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "features = dataset.drop(\"Date\", axis=1).columns\n",
        "\n",
        "# store the importance of the feature\n",
        "importances = rf_grid_search.best_estimator_.feature_importances_\n",
        "\n",
        "\n",
        "indices = np.argsort(importances)\n",
        "\n",
        "# title of the graph\n",
        "plt.title('Feature Importance')\n",
        "\n",
        "plt.barh(range(len(indices)),\n",
        "\t\timportances[indices],\n",
        "\t\tcolor='red',\n",
        "\t\talign='center')\n",
        "\n",
        "# plot bar chart\n",
        "plt.yticks(range(len(indices)),\n",
        "\t\t[features[i] for i in indices])\n",
        "plt.xlabel('Relative Importance')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "u606rXR4zOI7",
        "outputId": "aadf3221-2b1b-498d-f10c-e4c7df442567"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create an instance of the XGBRegressor model\n",
        "model_xgb = XGBRegressor()\n",
        "\n",
        "# Fit the model to the training data\n",
        "model_xgb.fit(x_train_scaled, y_train)\n",
        "\n",
        "# Print the R-squared score on the training data\n",
        "print(\"Xgboost Accuracy =\", r2_score(\n",
        "\ty_train, model_xgb.predict(x_train_scaled)))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0YvUjKgczQFV",
        "outputId": "ba2ec599-0e5f-48e4-f3ea-682fa72bff52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Xgboost Accuracy = 0.9995012181628151\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Print the R-squared score on the test data\n",
        "print(\"Xgboost Accuracy on test data =\",\n",
        "\tr2_score(y_test,\n",
        "\t\t\tmodel_xgb.predict(x_test_scaled)))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M6kq_HGezSGF",
        "outputId": "4f1fbeb9-dcf7-4b27-8310-0b5a5dc0bc52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Xgboost Accuracy on test data = 0.9842186135135597\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip uninstall scikit-learn -y\n",
        "!pip install scikit-learn==1.2.2\n",
        "!pip install eli5"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 547
        },
        "id": "JKsVE44RzUO2",
        "outputId": "965ab95e-fe63-45be-db26-43eb64dd8716"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found existing installation: scikit-learn 1.3.2\n",
            "Uninstalling scikit-learn-1.3.2:\n",
            "  Successfully uninstalled scikit-learn-1.3.2\n",
            "Collecting scikit-learn==1.2.2\n",
            "  Downloading scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2) (1.26.4)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2) (1.13.1)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2) (1.4.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2) (3.5.0)\n",
            "Downloading scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.6/9.6 MB\u001b[0m \u001b[31m92.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: scikit-learn\n",
            "Successfully installed scikit-learn-1.2.2\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "sklearn"
                ]
              },
              "id": "978b047959e24effa313682911e2bd84"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: eli5 in /usr/local/lib/python3.10/dist-packages (0.13.0)\n",
            "Requirement already satisfied: attrs>17.1.0 in /usr/local/lib/python3.10/dist-packages (from eli5) (24.2.0)\n",
            "Requirement already satisfied: jinja2>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from eli5) (3.1.4)\n",
            "Requirement already satisfied: numpy>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from eli5) (1.26.4)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from eli5) (1.13.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from eli5) (1.16.0)\n",
            "Requirement already satisfied: scikit-learn>=0.20 in /usr/local/lib/python3.10/dist-packages (from eli5) (1.2.2)\n",
            "Requirement already satisfied: graphviz in /usr/local/lib/python3.10/dist-packages (from eli5) (0.20.3)\n",
            "Requirement already satisfied: tabulate>=0.7.7 in /usr/local/lib/python3.10/dist-packages (from eli5) (0.9.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2>=3.0.0->eli5) (2.1.5)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.20->eli5) (1.4.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.20->eli5) (3.5.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import eli5 as eli\n",
        "# weight of variables in xgboost model\n",
        "# Get the names of the features\n",
        "feature_names = x_train.columns.tolist()\n",
        "\n",
        "# Explain the weights of the features using ELI5\n",
        "eli.explain_weights(model_xgb,\n",
        "\t\t\t\t\tfeature_names=feature_names)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        },
        "id": "A23g7yTLzU6w",
        "outputId": "3530bc2c-2853-486c-bcfa-c2f94448eaaa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Explanation(estimator='XGBRegressor(base_score=None, booster=None, callbacks=None,\\n             colsample_bylevel=None, colsample_bynode=None,\\n             colsample_bytree=None, device=None, early_stopping_rounds=None,\\n             enable_categorical=False, eval_metric=None, feature_types=None,\\n             gamma=None, grow_policy=None, importance_type=None,\\n             interaction_constraints=None, learning_rate=None, max_bin=None,\\n             max_cat_threshold=None, max_cat_to_onehot=None,\\n             max_delta_step=None, max_depth=None, max_leaves=None,\\n             min_child_weight=None, missing=nan, monotone_constraints=None,\\n             multi_strategy=None, n_estimators=None, n_jobs=None,\\n             num_parallel_tree=None, random_state=None, ...)', description='\\nXGBoost feature importances; values are numbers 0 <= x <= 1;\\nall values sum to 1.\\n', error=None, method='feature importances', is_regression=True, targets=None, feature_importances=FeatureImportances(importances=[FeatureWeight(feature='price_trend', weight=0.9570345, std=None, value=None), FeatureWeight(feature='USO', weight=0.02918005, std=None, value=None), FeatureWeight(feature='GLD', weight=0.007427889, std=None, value=None), FeatureWeight(feature='SPX', weight=0.0063575394, std=None, value=None)], remaining=0), decision_tree=None, highlight_spaces=None, transition_features=None, image=None)"
            ],
            "text/html": [
              "\n",
              "    <style>\n",
              "    table.eli5-weights tr:hover {\n",
              "        filter: brightness(85%);\n",
              "    }\n",
              "</style>\n",
              "\n",
              "\n",
              "\n",
              "    \n",
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              "\n",
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              "\n",
              "    \n",
              "\n",
              "    \n",
              "\n",
              "    \n",
              "        <table class=\"eli5-weights eli5-feature-importances\" style=\"border-collapse: collapse; border: none; margin-top: 0em; table-layout: auto;\">\n",
              "    <thead>\n",
              "    <tr style=\"border: none;\">\n",
              "        <th style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">Weight</th>\n",
              "        <th style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">Feature</th>\n",
              "    </tr>\n",
              "    </thead>\n",
              "    <tbody>\n",
              "    \n",
              "        <tr style=\"background-color: hsl(120, 100.00%, 80.00%); border: none;\">\n",
              "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
              "                0.9570\n",
              "                \n",
              "            </td>\n",
              "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
              "                price_trend\n",
              "            </td>\n",
              "        </tr>\n",
              "    \n",
              "        <tr style=\"background-color: hsl(120, 100.00%, 98.26%); border: none;\">\n",
              "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
              "                0.0292\n",
              "                \n",
              "            </td>\n",
              "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
              "                USO\n",
              "            </td>\n",
              "        </tr>\n",
              "    \n",
              "        <tr style=\"background-color: hsl(120, 100.00%, 99.33%); border: none;\">\n",
              "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
              "                0.0074\n",
              "                \n",
              "            </td>\n",
              "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
              "                GLD\n",
              "            </td>\n",
              "        </tr>\n",
              "    \n",
              "        <tr style=\"background-color: hsl(120, 100.00%, 99.40%); border: none;\">\n",
              "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
              "                0.0064\n",
              "                \n",
              "            </td>\n",
              "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
              "                SPX\n",
              "            </td>\n",
              "        </tr>\n",
              "    \n",
              "    \n",
              "    </tbody>\n",
              "</table>\n",
              "    \n",
              "\n",
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              "\n",
              "\n",
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              "    \n",
              "\n",
              "\n",
              "\n"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# dump model using pickle library\n",
        "import pickle\n",
        "\n",
        "# dump model in file model.pkl\n",
        "pickle.dump(model_xgb, open('model.pkl', 'wb'))"
      ],
      "metadata": {
        "id": "BjbKiYXzzWo_"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}