{"cells": [{"cell_type": "markdown", "id": "8ce144342232ba84", "metadata": {"ExecuteTime": {"end_time": "2025-09-07T09:16:22.766042Z", "start_time": "2025-09-07T09:16:22.764406Z"}, "collapsed": true}, "source": ["# Advanced Active Learning for Regression Tasks"]}, {"cell_type": "markdown", "id": "aac9375494dc8ed4", "metadata": {"ExecuteTime": {"end_time": "2025-09-08T08:18:49.075281Z", "start_time": "2025-09-08T08:18:49.072921Z"}}, "source": ["> **_Google Colab Note:_** If the notebook fails to run after installing the needed packages, try to restart the runtime (Ctrl + M) under Runtime -> Restart session.\n", "\n", "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/scikit-activeml/scikit-activeml.github.io/blob/gh-pages/1.0/generated/tutorials_colab//07_pool_advanced_regression.ipynb)"]}, {"cell_type": "code", "execution_count": 1, "id": "415f87e49685b455", "metadata": {}, "outputs": [], "source": ["# !pip install scikit-activeml[opt] torch torchvision xgboost pandas"]}, {"cell_type": "markdown", "id": "cbdf7ede8b8b713", "metadata": {}, "source": ["This tutorial demonstrates how to perform pool-based active learning for regression and compare query strategies using two model families:\n", "- a multilayer perceptron (MLP) trained via [skorch](https://github.com/skorch-dev/skorch) (`torch` under the hood),\n", "- a tree-boosting regressor from [xgboost](https://github.com/dmlc/xgboost),\n", "- a random forest regressor from [sklearn](https://github.com/scikit-learn/scikit-learn)."]}, {"cell_type": "code", "execution_count": 2, "id": "7e96e7a80c9c9b29", "metadata": {"ExecuteTime": {"end_time": "2025-11-30T23:47:09.806982Z", "start_time": "2025-11-30T23:47:07.108124Z"}}, "outputs": [], "source": ["# Comment in for speed up, if you have cuML installed.\n", "# %load_ext cuml.accel\n", "import matplotlib as mlp\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import os\n", "import torch\n", "import warnings\n", "\n", "from sklearn.datasets import fetch_openml\n", "from sklearn.ensemble import RandomForestRegressor\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import StandardScaler\n", "from skorch.toy import MLPModule\n", "from skactiveml.pool import (\n", " RandomSampling,\n", " GreedySamplingTarget,\n", " SubSamplingWrapper,\n", ")\n", "from skactiveml.regressor import SkorchRegressor, SklearnRegressor\n", "from skactiveml.utils import MISSING_LABEL, call_func\n", "from skorch.callbacks import LRScheduler\n", "from torch import nn\n", "from torch.optim.lr_scheduler import CosineAnnealingLR\n", "from tqdm import tqdm\n", "from xgboost import XGBRegressor\n", "\n", "CACHE_PATH = \".cache\"\n", "os.makedirs(CACHE_PATH, exist_ok=True)\n", "mlp.rcParams[\"figure.facecolor\"] = \"white\"\n", "DEVICE = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n", "warnings.filterwarnings(\"ignore\")"]}, {"cell_type": "markdown", "id": "d41a7926e55a4104", "metadata": {}, "source": ["## Load Dataset\n", "We use our the `fetch_openml` function from `sklearn.datasets` to load the `superconduct` dataset from [OpenML](https://www.openml.org/). The dataset contains information about superconductors, for which the critical temperature as a continuous target is to predicted."]}, {"cell_type": "code", "execution_count": 3, "id": "1d38ecfdaed939b0", "metadata": {"ExecuteTime": {"end_time": "2025-11-30T23:47:10.182960Z", "start_time": "2025-11-30T23:47:09.853300Z"}}, "outputs": [], "source": ["# Load and cache dataset.\n", "X_full, y_full = fetch_openml(\n", " data_id=43174, return_X_y=True, data_home=CACHE_PATH\n", ")\n", "X_full = X_full.values\n", "y_full = y_full.values\n", "n_features = X_full.shape[1]\n", "\n", "# Create 80-20 train-test split.\n", "X_train, X_test, y_train, y_test = train_test_split(\n", " X_full, y_full, test_size=0.2\n", ")\n", "\n", "# Standardize numerical features.\n", "sc = StandardScaler().fit(X_train)\n", "X_train = sc.transform(X_train)\n", "X_test = sc.transform(X_test)"]}, {"cell_type": "markdown", "id": "5876f715edf2d227", "metadata": {}, "source": ["## Create Regression Models\n", "\n", "We create a dictionary of functions that can be used to create the regression models with varying seeds."]}, {"cell_type": "code", "execution_count": 4, "id": "afaaf67ec481089c", "metadata": {"ExecuteTime": {"end_time": "2025-11-30T23:47:10.188128Z", "start_time": "2025-11-30T23:47:10.185484Z"}}, "outputs": [], "source": ["# Setup dictionary of functions for creating regression models.\n", "regressor_dict = {}\n", "\n", "# Create random forest regressor.\n", "regressor_dict[\"RF\"] = lambda seed: SklearnRegressor(\n", " RandomForestRegressor(random_state=seed), random_state=seed\n", ")\n", "\n", "# Add gradient-boosted decision tree.\n", "regressor_dict[\"XGB\"] = lambda seed: SklearnRegressor(\n", " XGBRegressor(device=DEVICE, random_state=seed), random_state=seed\n", ")\n", "\n", "regressor_dict[\"MLP\"] = lambda seed: SkorchRegressor(\n", " module=MLPModule,\n", " criterion=nn.HuberLoss,\n", " forward_outputs={\"prediction\": (0, torch.ravel)},\n", " neural_net_param_dict={\n", " # Module-related parameters.\n", " \"module__input_units\": n_features,\n", " \"module__output_units\": 1,\n", " \"module__hidden_units\": 256,\n", " \"module__num_hidden\": 2,\n", " \"module__dropout\": 0.1,\n", " # Optimizer-related parameters.\n", " \"max_epochs\": 100,\n", " \"batch_size\": 128,\n", " \"optimizer\": torch.optim.RAdam,\n", " \"optimizer__lr\": 1e-2,\n", " \"callbacks\": [\n", " (\"lr_scheduler\", LRScheduler(policy=CosineAnnealingLR, T_max=100))\n", " ],\n", " # General parameters.\n", " \"verbose\": 0,\n", " \"device\": DEVICE,\n", " \"train_split\": False,\n", " \"iterator_train__shuffle\": True,\n", " \"torch_load_kwargs\": {\"weights_only\": True},\n", " },\n", " sample_dtype=np.float32,\n", " missing_label=MISSING_LABEL,\n", " random_state=seed,\n", ")"]}, {"cell_type": "markdown", "id": "317a0dddbcc4ab52", "metadata": {}, "source": ["## Create Query Strategies\n", "For simplicity, we only test two query strategies, of which `GreedySamplingI` is a dedicated strategy for regression tasks. If other strategies are to be included, we refer to our [overview of query strategies](https://scikit-activeml.github.io/latest/generated/strategy_overview.html)."]}, {"cell_type": "code", "execution_count": 5, "id": "5d257707798d420f", "metadata": {"ExecuteTime": {"end_time": "2025-11-30T23:47:10.232093Z", "start_time": "2025-11-30T23:47:10.230458Z"}}, "outputs": [], "source": ["query_strategy_dict = {\n", " \"RandomSampling\": lambda seed: RandomSampling(random_state=seed),\n", " \"GreedySamplingI\": lambda seed: GreedySamplingTarget(\n", " method=\"GSi\", random_state=seed\n", " ),\n", "}"]}, {"cell_type": "markdown", "id": "8ccfb0efea85b497", "metadata": {}, "source": ["## Perform Active Learning Cycle\n", "Each active learning expirment starts with zero labels and covers 30 cycles with an acquisition batch size of 128."]}, {"cell_type": "code", "execution_count": 6, "id": "6370648e4db6e55e", "metadata": {"ExecuteTime": {"end_time": "2025-11-30T23:57:05.068451Z", "start_time": "2025-11-30T23:47:10.273461Z"}}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["RF\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Repeat 1 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:36<00:00, 1.21s/it]\n", "Repeat 2 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:27<00:00, 1.10it/s]\n", "Repeat 3 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:27<00:00, 1.10it/s]\n", "Repeat 1 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:43<00:00, 1.45s/it]\n", "Repeat 2 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:43<00:00, 1.45s/it]\n", "Repeat 3 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:43<00:00, 1.45s/it]\n"]}, {"name": "stdout", "output_type": "stream", "text": ["XGB\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Repeat 1 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:05<00:00, 5.91it/s]\n", "Repeat 2 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:05<00:00, 6.00it/s]\n", "Repeat 3 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:04<00:00, 6.01it/s]\n", "Repeat 1 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:20<00:00, 1.44it/s]\n", "Repeat 2 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:20<00:00, 1.43it/s]\n", "Repeat 3 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [00:20<00:00, 1.43it/s]\n"]}, {"name": "stdout", "output_type": "stream", "text": ["MLP\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Repeat 1 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [01:03<00:00, 2.12s/it]\n", "Repeat 2 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [01:02<00:00, 2.08s/it]\n", "Repeat 3 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [01:01<00:00, 2.06s/it]\n", "Repeat 1 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [01:18<00:00, 2.61s/it]\n", "Repeat 2 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [01:19<00:00, 2.64s/it]\n", "Repeat 3 with GreedySamplingI: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 30/30 [01:18<00:00, 2.63s/it]\n"]}], "source": ["n_reps = 3\n", "n_cycles = 30\n", "query_batch_size = 128\n", "n_sub_set = 1000\n", "\n", "results = {}\n", "\n", "for reg_name in regressor_dict:\n", " print(reg_name)\n", " for qs_name in query_strategy_dict:\n", " r2_scores = np.full((n_reps, n_cycles), np.nan)\n", " for i_rep in range(n_reps):\n", " y = np.full_like(y_train, fill_value=MISSING_LABEL)\n", "\n", " reg = regressor_dict[reg_name](i_rep)\n", " qs = SubSamplingWrapper(\n", " query_strategy_dict[qs_name](i_rep),\n", " max_candidates=n_sub_set,\n", " exclude_non_subsample=True,\n", " random_state=i_rep,\n", " )\n", " reg.fit(X_train, y)\n", "\n", " for c in tqdm(\n", " range(n_cycles), desc=f\"Repeat {i_rep + 1} with {qs_name}\"\n", " ):\n", " query_idx = call_func(\n", " qs.query,\n", " X=X_train,\n", " y=y,\n", " batch_size=query_batch_size,\n", " reg=reg,\n", " fit_reg=False,\n", " )\n", " y[query_idx] = y_train[query_idx]\n", " reg.fit(X_train, y)\n", " score = reg.score(X_test, y_test)\n", " r2_scores[i_rep, c] = score\n", "\n", " results[f\"{reg_name}-{qs_name}\"] = r2_scores"]}, {"cell_type": "markdown", "id": "b06109bc8e3e4f19", "metadata": {}, "source": ["## Visualize Results\n", "In the following, we plot the obtained learning curve of the R2 scores including the area under learning curve (AULC) score per regression model and query strategy."]}, {"cell_type": "code", "execution_count": 7, "id": "cb301ff83a41e9fe", "metadata": {"ExecuteTime": {"end_time": "2025-11-30T23:57:05.234764Z", "start_time": "2025-11-30T23:57:05.114995Z"}}, "outputs": [{"data": {"image/png": 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", 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"]}, "metadata": {}, "output_type": "display_data"}], "source": ["plt.figure(figsize=(16, 9))\n", "for reg_name, ls in zip(regressor_dict, [\"-\", \"--\", \":\"]):\n", " for qs_name, c in zip(query_strategy_dict, [\"g\", \"b\"]):\n", " key = qs_name\n", " result = results[f\"{reg_name}-{qs_name}\"]\n", " reshaped_result = result.reshape((-1, n_cycles))\n", " errorbar_mean = np.mean(reshaped_result, axis=0)\n", " errorbar_std = np.std(reshaped_result, axis=0)\n", " plt.errorbar(\n", " np.arange(1, n_cycles + 1) * query_batch_size,\n", " errorbar_mean,\n", " errorbar_std,\n", " label=f\"{reg_name}-{qs_name}: ALCU={np.mean(errorbar_mean):.3f}\",\n", " alpha=0.5,\n", " color=c,\n", " linestyle=ls,\n", " )\n", "plt.grid()\n", "plt.legend(loc=\"lower right\", fontsize=\"x-large\")\n", "plt.xlabel(\"Number of Labeled Samples\", fontsize=\"x-large\")\n", "plt.ylabel(\"R2 Score\", fontsize=\"x-large\")\n", "plt.show()"]}], "metadata": {"kernelspec": {"display_name": "scikit-activeml", "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": "3.12.11"}, "nbsphinx": {"orphan": true}}, "nbformat": 4, "nbformat_minor": 5}