diff --git a/data_time_series/test_rocket.ipynb b/data_time_series/test_rocket.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..eb884d26cad28227de6f040f922b11ed809a210e --- /dev/null +++ b/data_time_series/test_rocket.ipynb @@ -0,0 +1,199 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "7f795133", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "from scipy.io import arff\n", + "\n", + "from sktime.datasets import load_from_arff_to_dataframe, load_basic_motions\n", + "from sktime.transformations.panel.rocket import Rocket\n", + "from sklearn.linear_model import RidgeClassifierCV\n", + "\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "04f19b56", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# load time series and labels\n", + "X_train, y_train = load_from_arff_to_dataframe('FordA/FordA_TRAIN.arff')\n", + "X_test, y_test = load_from_arff_to_dataframe('FordA/FordA_TEST.arff')\n", + "#X, y = load_from_arff_to_dataframe('Ford/FordA_TRAIN.arff')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f9a0b4f5", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[<matplotlib.lines.Line2D at 0x7febcab82d40>]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(X_train.iloc[0,0])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b23b1bbb", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# train rocket\n", + "rocket = Rocket() # by default, ROCKET uses 10,000 kernels\n", + "rocket.fit(X_train)\n", + "X_train_transform = rocket.transform(X_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "586f11ee", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RidgeClassifierCV(alphas=array([1.00000000e-03, 4.64158883e-03, 2.15443469e-02, 1.00000000e-01,\n", + " 4.64158883e-01, 2.15443469e+00, 1.00000000e+01, 4.64158883e+01,\n", + " 2.15443469e+02, 1.00000000e+03]))</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RidgeClassifierCV</label><div class=\"sk-toggleable__content\"><pre>RidgeClassifierCV(alphas=array([1.00000000e-03, 4.64158883e-03, 2.15443469e-02, 1.00000000e-01,\n", + " 4.64158883e-01, 2.15443469e+00, 1.00000000e+01, 4.64158883e+01,\n", + " 2.15443469e+02, 1.00000000e+03]))</pre></div></div></div></div></div>" + ], + "text/plain": [ + "RidgeClassifierCV(alphas=array([1.00000000e-03, 4.64158883e-03, 2.15443469e-02, 1.00000000e-01,\n", + " 4.64158883e-01, 2.15443469e+00, 1.00000000e+01, 4.64158883e+01,\n", + " 2.15443469e+02, 1.00000000e+03]))" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "classifier = RidgeClassifierCV(alphas=np.logspace(-3, 3, 10))\n", + "classifier.fit(X_train_transform, y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b609e648", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# load test data\n", + "X_test_transform = rocket.transform(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3872292c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9083333333333333" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "classifier.score(X_test_transform, y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "958c012c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['-1', '1'], dtype='<U2')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.unique(y_test)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}