{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "354c9535-8ed8-4494-b6b1-80ec0c74ba9a", "metadata": {}, "source": [ "# Semi-supervised Learning\n", "\n", "* Preparing and executing partially and delayed labeling experiments\n", "\n", "---\n", "\n", "*More information about CapyMOA can be found in* https://www.capymoa.org\n", "\n", "**notebook last updated on 25/07/2024**" ] }, { "cell_type": "code", "execution_count": 1, "id": "9e32285f", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:32:22.263875Z", "iopub.status.busy": "2024-09-23T00:32:22.263261Z", "iopub.status.idle": "2024-09-23T00:32:22.269807Z", "shell.execute_reply": "2024-09-23T00:32:22.269402Z" }, "nbsphinx": "hidden" }, "outputs": [], "source": [ "# This cell is hidden on capymoa.org. See docs/contributing/docs.rst\n", "from util.nbmock import mock_datasets, is_nb_fast\n", "\n", "if is_nb_fast():\n", " mock_datasets()" ] }, { "cell_type": "code", "execution_count": 2, "id": "3bf65301-1626-49e7-a803-145bdc0bb135", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:32:22.271463Z", "iopub.status.busy": "2024-09-23T00:32:22.271325Z", "iopub.status.idle": "2024-09-23T00:32:24.536503Z", "shell.execute_reply": "2024-09-23T00:32:24.535938Z" } }, "outputs": [], "source": [ "from capymoa.evaluation.visualization import plot_windowed_results\n", "from capymoa.evaluation import prequential_ssl_evaluation\n", "from capymoa.datasets import Electricity" ] }, { "cell_type": "markdown", "id": "5a066760-e731-4018-97b4-75f0a2676fa5", "metadata": {}, "source": [ "## 1. Learning using a SSL classifier\n", "\n", "* This example uses the OSNN algorithm to learn from a stream with only 1% labeled data\n", "* We utilize the `prequential_ssl_evaluation()` function to simulate the absence of labels (`label_probability`) and delays (`delay_length`)\n", "* The results yield by `prequential_ssl_evaluation()` include more information in comparison to `prequential_evaluation()`, such as the number of unlabeled instances (`unlabeled`) and the unlabeled ratio (`unlabeled_ratio`). " ] }, { "cell_type": "code", "execution_count": 3, "id": "e2a9f32e-7740-4e1e-b48a-66adccf0451c", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:32:24.538431Z", "iopub.status.busy": "2024-09-23T00:32:24.538231Z", "iopub.status.idle": "2024-09-23T00:32:24.541405Z", "shell.execute_reply": "2024-09-23T00:32:24.541087Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on function prequential_ssl_evaluation in module capymoa.evaluation.evaluation:\n", "\n", "prequential_ssl_evaluation(stream: capymoa.stream._stream.Stream, learner: Union[capymoa.base.ClassifierSSL, capymoa.base.Classifier], max_instances: Optional[int] = None, window_size: int = 1000, initial_window_size: int = 0, delay_length: int = 0, label_probability: float = 0.01, random_seed: int = 1, store_predictions: bool = False, store_y: bool = False, optimise: bool = True, restart_stream: bool = True)\n", " Run and evaluate a learner on a semi-supervised stream using prequential evaluation.\n", " \n", " :param stream: A data stream to evaluate the learner on. Will be restarted if\n", " ``restart_stream`` is True.\n", " :param learner: The learner to evaluate. If the learner is an SSL learner,\n", " it will be trained on both labeled and unlabeled instances. If the\n", " learner is not an SSL learner, then it will be trained only on the\n", " labeled instances.\n", " :param max_instances: The number of instances to evaluate before exiting.\n", " If None, the evaluation will continue until the stream is empty.\n", " :param window_size: The size of the window used for windowed evaluation,\n", " defaults to 1000\n", " :param initial_window_size: Not implemented yet\n", " :param delay_length: If greater than zero the labeled (``label_probability``%)\n", " instances will appear as unlabeled before reappearing as labeled after\n", " ``delay_length`` instances, defaults to 0\n", " :param label_probability: The proportion of instances that will be labeled,\n", " must be in the range [0, 1], defaults to 0.01\n", " :param random_seed: A random seed to define the random state that decides\n", " which instances are labeled and which are not, defaults to 1.\n", " :param store_predictions: Store the learner's prediction in a list, defaults\n", " to False\n", " :param store_y: Store the ground truth targets in a list, defaults to False\n", " :param optimise: If True and the learner is compatible, the evaluator will\n", " use a Java native evaluation loop, defaults to True.\n", " :param restart_stream: If False, evaluation will continue from the current\n", " position in the stream, defaults to True. Not restarting the stream is\n", " useful for switching between learners or evaluators, without starting\n", " from the beginning of the stream.\n", " :return: An object containing the results of the evaluation windowed metrics,\n", " cumulative metrics, ground truth targets, and predictions.\n", "\n" ] } ], "source": [ "help(prequential_ssl_evaluation)" ] }, { "cell_type": "code", "execution_count": 4, "id": "514ceb2e-87c2-4b27-ac9d-52435bbda524", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:32:24.543073Z", "iopub.status.busy": "2024-09-23T00:32:24.542923Z", "iopub.status.idle": "2024-09-23T00:32:28.367832Z", "shell.execute_reply": "2024-09-23T00:32:28.367349Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "51.6\n" ] }, { "data": { "text/html": [ "
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instancesaccuracykappakappa_tkappa_mf1_scoref1_score_0f1_score_1precisionprecision_0precision_1recallrecall_0recall_1
0100.034.00.000000-340.000000-112.903226NaN50.746269NaNNaN34.000000NaN50.000000100.0000000.000000
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5600.038.00.000000-342.857143-77.142857NaN55.072464NaNNaN38.000000NaN50.000000100.0000000.000000
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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.ssl.classifier import OSNN\n", "\n", "stream = Electricity()\n", "\n", "osnn = OSNN(schema=stream.get_schema(), optim_steps=10)\n", "\n", "results_osnn = prequential_ssl_evaluation(\n", " stream=stream,\n", " learner=osnn,\n", " label_probability=0.01,\n", " window_size=100,\n", " max_instances=1000,\n", ")\n", "\n", "# The results are stored in a dictionary.\n", "display(results_osnn)\n", "\n", "print(\n", " results_osnn[\"cumulative\"].accuracy()\n", ") # Test-then-train accuracy, i.e. cumulatively, not windowed.\n", "display(\n", " results_osnn[\"windowed\"].metrics_per_window()\n", ") # A dataframe containing the windowed results.\n", "\n", "# Plotting over time (default: classifications correct (percent) i.e. accuracy)\n", "results_osnn.learner = \"OSNN\"\n", "plot_windowed_results(results_osnn, metric=\"accuracy\")" ] }, { "attachments": {}, "cell_type": "markdown", "id": "ad6a0a10-ab56-49b7-8e68-ae8eec941ebb", "metadata": {}, "source": [ "## 1.1 Using a supervised model\n", "\n", "* If a supervised model is used with `prequential_ssl_evaluation()` it will only be trained on the labeled data\n", "\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "89656078-4044-4863-9fb7-76f23e709033", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:32:28.369633Z", "iopub.status.busy": "2024-09-23T00:32:28.369409Z", "iopub.status.idle": "2024-09-23T00:32:28.635258Z", "shell.execute_reply": "2024-09-23T00:32:28.634748Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "47.199999999999996\n" ] }, { "data": { "text/html": [ "
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\n", "
" ], "text/plain": [ " instances accuracy kappa kappa_t kappa_m f1_score \\\n", "0 100.0 34.0 0.000000 -340.000000 -112.903226 NaN \n", "1 200.0 65.0 0.000000 -150.000000 41.666667 NaN \n", "2 300.0 21.0 0.000000 -558.333333 -113.513514 NaN \n", "3 400.0 62.0 0.000000 -245.454545 43.283582 NaN \n", "4 500.0 50.0 5.338887 -316.666667 3.846154 61.726883 \n", "5 600.0 38.0 -7.489598 -342.857143 -77.142857 44.007051 \n", "6 700.0 26.0 -39.992433 -311.111111 -48.000000 27.554157 \n", "7 800.0 62.0 13.043478 -123.529412 11.627907 65.753425 \n", "8 900.0 59.0 10.480349 -115.789474 24.074074 60.034800 \n", "9 1000.0 55.0 2.343750 -462.500000 10.000000 61.508853 \n", "\n", " f1_score_0 f1_score_1 precision precision_0 precision_1 recall \\\n", "0 50.746269 NaN NaN 34.000000 NaN 50.000000 \n", "1 78.787879 NaN NaN 65.000000 NaN 50.000000 \n", "2 34.710744 NaN NaN 21.000000 NaN 50.000000 \n", "3 76.543210 NaN NaN 62.000000 NaN 50.000000 \n", "4 65.277778 10.714286 74.226804 48.453608 100.000000 52.830189 \n", "5 48.333333 22.500000 42.682927 35.365854 50.000000 45.415959 \n", "6 24.489796 27.450980 27.327327 32.432432 22.222222 27.784784 \n", "7 75.000000 20.833333 80.000000 60.000000 100.000000 55.813953 \n", "8 72.108844 22.641509 66.304348 57.608696 75.000000 54.848485 \n", "9 70.588235 4.255319 77.272727 54.545455 100.000000 51.086957 \n", "\n", " recall_0 recall_1 \n", "0 100.000000 0.000000 \n", "1 100.000000 0.000000 \n", "2 100.000000 0.000000 \n", "3 100.000000 0.000000 \n", "4 100.000000 5.660377 \n", "5 76.315789 14.516129 \n", "6 19.672131 35.897436 \n", "7 100.000000 11.627907 \n", "8 96.363636 13.333333 \n", "9 100.000000 2.173913 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.classifier import StreamingRandomPatches\n", "\n", "srp10 = StreamingRandomPatches(schema=stream.get_schema(), ensemble_size=10)\n", "\n", "results_srp10 = prequential_ssl_evaluation(\n", " stream=stream,\n", " learner=srp10,\n", " label_probability=0.01,\n", " window_size=100,\n", " max_instances=1000,\n", ")\n", "\n", "print(results_srp10[\"cumulative\"].accuracy())\n", "display(results_srp10[\"windowed\"].metrics_per_window())" ] }, { "cell_type": "markdown", "id": "db85c89b-6020-47b6-97ee-14266fcdaa0c", "metadata": {}, "source": [ "## 1.2 Comparing a SSL and supervised classifiers" ] }, { "cell_type": "code", "execution_count": 6, "id": "4003f5b7-6193-4f93-ac5c-4e2db840a6f6", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:32:28.637010Z", "iopub.status.busy": "2024-09-23T00:32:28.636803Z", "iopub.status.idle": "2024-09-23T00:32:28.828218Z", "shell.execute_reply": "2024-09-23T00:32:28.827709Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting all the results together\n", "# Adding an experiment_id to the results dictionary allows controlling the legend of each learner.\n", "results_osnn.learner = \"OSNN\"\n", "results_srp10.learner = \"SRP10\"\n", "\n", "plot_windowed_results(results_osnn, results_srp10, metric=\"accuracy\")" ] }, { "cell_type": "markdown", "id": "7a97afba-790e-4d55-9d57-c7f2b0bd115c", "metadata": {}, "source": [ "## 2. Delay example\n", "* Comparing the effect of delay on a stream\n", "* It is particularly interesting to see the effect after a drift takes place. " ] }, { "cell_type": "code", "execution_count": 7, "id": "f34a321e-d73e-412e-a5da-815dfa78ef89", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:32:28.829927Z", "iopub.status.busy": "2024-09-23T00:32:28.829785Z", "iopub.status.idle": "2024-09-23T00:32:29.327569Z", "shell.execute_reply": "2024-09-23T00:32:29.327082Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy immediate: 84.517\n", "Accuracy delayed by 1000 instances: 83.366\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.stream.generator import SEA\n", "from capymoa.stream.drift import *\n", "from capymoa.classifier import HoeffdingTree\n", "\n", "## Creating a stream with drift\n", "sea2drifts = DriftStream(\n", " stream=[\n", " SEA(function=1),\n", " AbruptDrift(position=25000),\n", " SEA(function=2),\n", " AbruptDrift(position=50000),\n", " SEA(function=3),\n", " ]\n", ")\n", "\n", "\n", "ht_immediate = HoeffdingTree(schema=sea2drifts.get_schema())\n", "ht_delayed = HoeffdingTree(schema=sea2drifts.get_schema())\n", "\n", "results_ht_immediate = prequential_ssl_evaluation(\n", " stream=sea2drifts,\n", " learner=ht_immediate,\n", " label_probability=0.1,\n", " window_size=1000,\n", " max_instances=100000,\n", ")\n", "\n", "results_ht_delayed_1000 = prequential_ssl_evaluation(\n", " stream=sea2drifts,\n", " learner=ht_delayed,\n", " label_probability=0.01,\n", " delay_length=1000, # adding the delay\n", " window_size=1000,\n", " max_instances=100000,\n", ")\n", "\n", "results_ht_immediate.learner = \"HT_immediate\"\n", "results_ht_delayed_1000.learner = \"HT_delayed_1000\"\n", "\n", "print(f\"Accuracy immediate: {results_ht_immediate['cumulative'].accuracy()}\")\n", "print(\n", " f\"Accuracy delayed by 1000 instances: {results_ht_delayed_1000['cumulative'].accuracy()}\"\n", ")\n", "\n", "plot_windowed_results(results_ht_immediate, results_ht_delayed_1000, metric=\"accuracy\")" ] }, { "cell_type": "code", "execution_count": null, "id": "b6de2a5d-ac19-4b05-ace4-bba2ac300379", "metadata": {}, "outputs": [], "source": [] } ], "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": "3.9.19" } }, "nbformat": 4, "nbformat_minor": 5 }