21_Rocket_starter.ipynb

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    "import math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sktime.datasets import load_UCR_UEA_dataset\n",
    "\n",
    "from sktime.classification.kernel_based import RocketClassifier\n",
    "\n",
    "from sklearn.metrics import classification_report, precision_recall_fscore_support \n",
    "from sklearn.model_selection import GridSearchCV, KFold\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
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    "X_train, y_train = load_UCR_UEA_dataset(name=\"ArticularyWordRecognition\",\n",
    "                                        split='train', \n",
    "                                        return_type='numpy3D',\n",
    "                                        extract_path=\"./data\")\n",
    "X_test, y_test = load_UCR_UEA_dataset(name=\"ArticularyWordRecognition\",\n",
    "                                      split='test', \n",
    "                                      return_type='numpy3D',\n",
    "                                      extract_path='./data')"
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    "print(X_train.shape, y_train.shape)\n",
    "print(X_test.shape, y_test.shape)"
   ]
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    "## ROCKET"
   ]
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