{"cells": [{"cell_type": "markdown", "id": "33f39229508719ea", "metadata": {"collapsed": false}, "source": ["# Deep Active Learning Using Semi-Supervised Classification"]}, {"cell_type": "markdown", "id": "fd4eb6e7", "metadata": {}, "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//08_pool_ssl.ipynb)"]}, {"cell_type": "markdown", "id": "79402ebb", "metadata": {}, "source": ["**Notebook Dependencies**\n", "\n", "Uncomment the following cells to install all dependencies for this tutorial."]}, {"cell_type": "code", "execution_count": 1, "id": "be80c05ed2443629", "metadata": {}, "outputs": [], "source": ["# !pip install scikit-activeml[opt] torch torchvision tqdm datasets transformers"]}, {"cell_type": "markdown", "id": "a773fbde", "metadata": {}, "source": ["
"]}, {"cell_type": "markdown", "id": "fa4583e83ede8da9", "metadata": {"collapsed": false}, "source": ["This tutorial aims to demonstrate a practical comparison study using our\n", "```scikit-activeml``` library. The main focus of this notebook is the use\n", "of the `semi_supervised` subpackage of `scikit-learn` (see \n", "[here](https://scikit-learn.org/stable/modules/semi_supervised.html)), that\n", "offers wrapper classes for classifiers, enabling the use of unlabeled data.\n", "The basic structure and data preparation of this notebook closely follows the\n", "[Deep Active Learning with Frozen Vision Transformer notebook](https://scikit-activeml.github.io/latest/generated/tutorials/05_pool_al_with_self_supervised_learning.html) while using a different dataset (Food101 [1]).\n", "\n", "[1] Bossard, L. and Guillaumin, M. and Van Gool, L. (2014). Food-101 - Mining Discriminative Components with Random Forests. European Conference on Computer Vision."]}, {"cell_type": "code", "execution_count": 2, "id": "3a4b6dbb9143a5eb", "metadata": {"ExecuteTime": {"end_time": "2025-11-08T18:55:09.099806Z", "start_time": "2025-11-08T18:55:04.875268Z"}, "collapsed": false}, "outputs": [], "source": ["# Comment in for speedup, if you have cuML installed.\n", "# %load_ext cuml.accel\n", "import numpy as np\n", "import matplotlib as mlp\n", "import matplotlib.pyplot as plt\n", "import torch\n", "import warnings\n", "\n", "from datasets import load_dataset\n", "from multiprocess import set_start_method\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.semi_supervised import SelfTrainingClassifier\n", "from skactiveml.classifier import SklearnClassifier\n", "from skactiveml.pool import (\n", " UncertaintySampling,\n", " RandomSampling,\n", " CoreSet,\n", " TypiClust,\n", " DropQuery,\n", " ProbCover,\n", " Falcun,\n", " SubSamplingWrapper,\n", ")\n", "from skactiveml.utils import call_func\n", "from transformers import AutoImageProcessor, Dinov2Model\n", "from tqdm import tqdm\n", "from threadpoolctl import threadpool_limits\n", "\n", "\n", "set_start_method(\"spawn\", force=True)\n", "threadpool_limits(limits=1, user_api=\"blas\")\n", "warnings.filterwarnings(\"ignore\")\n", "mlp.rcParams[\"figure.facecolor\"] = \"white\"\n", "device = \"cuda\" if torch.cuda.is_available() else \"cpu\""]}, {"cell_type": "markdown", "id": "3ac32ea901e08c01", "metadata": {"collapsed": false}, "source": ["## Embed FOOD-101 Images with DINOv2"]}, {"cell_type": "markdown", "id": "7a4e3bf805669b1c", "metadata": {"collapsed": false}, "source": ["In this step, we focus on preparing the datasets using the self-supervised\n", "learning model DINOv2. DINOv2, short for \"self-distillation with no labels\",\n", " is a popular vision foundation model that excels at providing meaningful\n", " representations for image data."]}, {"cell_type": "code", "execution_count": 3, "id": "3b27a5c395f5897e", "metadata": {"ExecuteTime": {"end_time": "2025-11-08T18:55:25.655039Z", "start_time": "2025-11-08T18:55:09.144763Z"}, "collapsed": false}, "outputs": [], "source": ["# Download data.\n", "ds = load_dataset(\"ethz/food101\")\n", "\n", "# Download DINOv2 ViT/S-14 as embedding model.\n", "processor = AutoImageProcessor.from_pretrained(\n", " \"facebook/dinov2-small\", use_fast=True\n", ")\n", "model = Dinov2Model.from_pretrained(\"facebook/dinov2-small\").to(device).eval()\n", "\n", "\n", "# Embed Food-101 images.\n", "def embed(batch, processor, device, model):\n", " import torch\n", "\n", " inputs = processor(images=batch[\"image\"], return_tensors=\"pt\").to(device)\n", " with torch.no_grad():\n", " out = model(**inputs).last_hidden_state[:, 0]\n", " return {\"emb\": out.cpu().numpy()}\n", "\n", "\n", "embed_kwargs = {\n", " \"processor\": processor,\n", " \"model\": model,\n", " \"device\": device,\n", "}\n", "ds = ds.map(\n", " embed,\n", " batched=True,\n", " batch_size=64,\n", " num_proc=2,\n", " fn_kwargs=embed_kwargs,\n", " remove_columns=[\"image\"],\n", ")\n", "X_pool = np.stack(ds[\"train\"][\"emb\"], dtype=np.float32)\n", "y_pool = np.array(ds[\"train\"][\"label\"], dtype=np.int64)\n", "X_test = np.stack(ds[\"validation\"][\"emb\"], dtype=np.float32)\n", "y_test = np.array(ds[\"validation\"][\"label\"], dtype=np.int64)"]}, {"cell_type": "markdown", "id": "cf4565232ae31432", "metadata": {"collapsed": false}, "source": ["## Random Seed Management"]}, {"cell_type": "markdown", "id": "b1ce38a2-0305-44eb-abf5-cb69c41c3f98", "metadata": {}, "source": ["To ensure experiment reproducibility, it's important to set random states for all components that might use them. For simplicity, we set a single fixed random state and use helper functions to generate new seeds and random states. It's important to note that the ```master_random_state``` should only be used to create new random states or random seeds."]}, {"cell_type": "code", "execution_count": 4, "id": "11e6ce648a9ab110", "metadata": {"ExecuteTime": {"end_time": "2025-11-08T18:55:25.703150Z", "start_time": "2025-11-08T18:55:25.701134Z"}, "collapsed": false}, "outputs": [], "source": ["master_random_state = np.random.RandomState(0)\n", "\n", "\n", "def gen_seed(random_state: np.random.RandomState):\n", " \"\"\"\n", " Generate a seed for a random number generator.\n", "\n", " Parameters:\n", " - random_state (np.random.RandomState): Random state object.\n", "\n", " Returns:\n", " - int: Generated seed.\n", " \"\"\"\n", " return random_state.randint(0, 2**31)\n", "\n", "\n", "def gen_random_state(random_state: np.random.RandomState):\n", " \"\"\"\n", " Generate a new random state object based on a given random state.\n", "\n", " Parameters:\n", " - random_state (np.random.RandomState): Random state object.\n", "\n", " Returns:\n", " - np.random.RandomState: New random state object.\n", " \"\"\"\n", " return np.random.RandomState(gen_seed(random_state))"]}, {"cell_type": "markdown", "id": "91a3743e-cb9e-49a9-a239-30c9f54839fa", "metadata": {}, "source": ["## Classification Models and Query Strategies\n", "\n", "The embeddings we have computed can be used as an input to a classification model. For this guide, we use `LogisticRegression` from `sklearn.linear_model`. Moreover, we handle the creation of query strategies using factory functions to simplify the separation of query strategies across repetitions. We use `missing_label=-1` because the wrappers in `scikit-learn.semi_supervised` only supports -1 as a placeholder label for unlabeled samples."]}, {"cell_type": "code", "execution_count": 5, "id": "d356c3752b0a58a1", "metadata": {"ExecuteTime": {"end_time": "2025-11-08T18:55:25.747222Z", "start_time": "2025-11-08T18:55:25.744228Z"}, "collapsed": false}, "outputs": [], "source": ["n_features, classes = X_pool.shape[1], np.unique(y_pool)\n", "missing_label = -1\n", "\n", "# Define classifiers to use for experiments\n", "def create_classifier(name, classes, random_state):\n", " return classifier_factory_functions[name](classes, random_state)\n", "classifier_factory_functions = {\n", " 'LogisticRegression': lambda classes, random_state: SklearnClassifier(\n", " LogisticRegression(\n", " verbose=0,\n", " tol=1e-3,\n", " C=0.1,\n", " max_iter=10000,\n", " random_state=gen_seed(random_state)\n", " ),\n", " classes=classes,\n", " random_state=gen_seed(random_state),\n", " missing_label=missing_label\n", " )\n", "}\n", "\n", "# Define query strategies for experiments\n", "def create_query_strategy(name, random_state):\n", " return query_strategy_factory_functions[name](random_state)\n", "query_strategy_factory_functions = {\n", " \"RandomSampling\": lambda random_state: RandomSampling(\n", " random_state=gen_seed(random_state), missing_label=missing_label\n", " ),\n", " \"UncertaintySampling\": lambda random_state: UncertaintySampling(\n", " random_state=gen_seed(random_state), missing_label=missing_label\n", " ),\n", " \"CoreSet\": lambda random_state: CoreSet(\n", " random_state=gen_seed(random_state), missing_label=missing_label\n", " ),\n", " \"TypiClust\": lambda random_state: TypiClust(\n", " random_state=gen_seed(random_state), missing_label=missing_label\n", " ),\n", " \"DropQuery\": lambda random_state: DropQuery(\n", " random_state=gen_seed(random_state),\n", " missing_label=missing_label,\n", " ),\n", " \"ProbCover\": lambda random_state: ProbCover(\n", " random_state=gen_seed(random_state), missing_label=missing_label\n", " ),\n", " \"Falcun\": lambda random_state: Falcun(\n", " random_state=gen_seed(random_state), missing_label=missing_label\n", " ),\n", "}"]}, {"cell_type": "markdown", "id": "9023c37048ec8f54", "metadata": {"collapsed": false}, "source": ["## Experiment Parameters\n", "\n", "For this experiment, we need to define how the strategies should be compared against one another. Here the number of repetitions (```n_reps```), the number of cycles (```n_cycles```), and the size of each query (```query_batch_size```) need to be defined. "]}, {"cell_type": "code", "execution_count": 6, "id": "e103670190e73a3f", "metadata": {"ExecuteTime": {"end_time": "2025-11-08T18:55:25.789678Z", "start_time": "2025-11-08T18:55:25.788190Z"}, "collapsed": false}, "outputs": [], "source": ["n_reps = 3\n", "n_cycles = 20\n", "query_batch_size = 100\n", "classifier_names = classifier_factory_functions.keys()\n", "query_strategy_names = query_strategy_factory_functions.keys()"]}, {"cell_type": "markdown", "id": "66b8fff1b12211ed", "metadata": {"collapsed": false}, "source": ["## Experiment Loop\n", "\n", "The actual experiment loops over all query strategies. The accuracy for the test set is stored for each cycle and repetition in the `results` dictionary. Here, we execute the experiments with and without `SelfTraining` (`use_ssl_clf`). This wrapper includes unlabeled samples into the labeled pool for training (i.e., not for querying new labels). The wrapped classifier is iteratively trained `SelfTrainingClassifier.max_iter` times and in each iteration new unlabeled samples whose prediciton for a class exceed `SelfTrainingClassifier.threshold` will be included in the labeled pool for the next training iteration. In this notebook, the number of iterations of self-training scales with the number of active learning cycles, such that it starts with 1 iteration at cycle 6 and caps at cycle 10 and above with 5 iterations."]}, {"cell_type": "code", "execution_count": 7, "id": "718629bb-1c4f-4707-9eb1-9d1df901cd84", "metadata": {"ExecuteTime": {"end_time": "2025-11-08T19:13:43.735332Z", "start_time": "2025-11-08T18:55:25.831259Z"}}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["Repeat 1 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.92it/s]\n", "Repeat 2 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.95it/s]\n", "Repeat 3 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.93it/s]\n", "Repeat 1 with UncertaintySampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.87it/s]\n", "Repeat 2 with UncertaintySampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:11<00:00, 1.74it/s]\n", "Repeat 3 with UncertaintySampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.87it/s]\n", "Repeat 1 with CoreSet: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:15<00:00, 1.31it/s]\n", "Repeat 2 with CoreSet: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:15<00:00, 1.31it/s]\n", "Repeat 3 with CoreSet: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:15<00:00, 1.31it/s]\n", "Repeat 1 with TypiClust: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:20<00:00, 1.02s/it]\n", "Repeat 2 with TypiClust: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:20<00:00, 1.01s/it]\n", "Repeat 3 with TypiClust: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:20<00:00, 1.01s/it]\n", "Repeat 1 with DropQuery: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:16<00:00, 1.21it/s]\n", "Repeat 2 with DropQuery: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:16<00:00, 1.21it/s]\n", "Repeat 3 with DropQuery: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:16<00:00, 1.23it/s]\n", "Repeat 1 with ProbCover: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [01:19<00:00, 3.98s/it]\n", "Repeat 2 with ProbCover: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [01:19<00:00, 3.98s/it]\n", "Repeat 3 with ProbCover: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [01:19<00:00, 3.97s/it]\n", "Repeat 1 with Falcun: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:11<00:00, 1.68it/s]\n", "Repeat 2 with Falcun: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:11<00:00, 1.69it/s]\n", "Repeat 3 with Falcun: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:11<00:00, 1.68it/s]\n", "Repeat 1 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:01<00:00, 16.76it/s]\n", "Repeat 2 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:01<00:00, 16.33it/s]\n", "Repeat 3 with RandomSampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:01<00:00, 16.52it/s]\n", "Repeat 1 with UncertaintySampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:01<00:00, 13.66it/s]\n", "Repeat 2 with UncertaintySampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:01<00:00, 13.62it/s]\n", "Repeat 3 with UncertaintySampling: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:01<00:00, 13.71it/s]\n", "Repeat 1 with CoreSet: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:06<00:00, 3.01it/s]\n", "Repeat 2 with CoreSet: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:06<00:00, 3.04it/s]\n", "Repeat 3 with CoreSet: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:06<00:00, 3.02it/s]\n", "Repeat 1 with TypiClust: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.84it/s]\n", "Repeat 2 with TypiClust: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.84it/s]\n", "Repeat 3 with TypiClust: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:10<00:00, 1.84it/s]\n", "Repeat 1 with DropQuery: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:06<00:00, 2.87it/s]\n", "Repeat 2 with DropQuery: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:06<00:00, 2.86it/s]\n", "Repeat 3 with DropQuery: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:06<00:00, 2.86it/s]\n", "Repeat 1 with ProbCover: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [01:09<00:00, 3.48s/it]\n", "Repeat 2 with ProbCover: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [01:09<00:00, 3.46s/it]\n", "Repeat 3 with ProbCover: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [01:09<00:00, 3.46s/it]\n", "Repeat 1 with Falcun: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:02<00:00, 7.61it/s]\n", "Repeat 2 with Falcun: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:02<00:00, 7.69it/s]\n", "Repeat 3 with Falcun: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20/20 [00:02<00:00, 7.74it/s]\n"]}], "source": ["results = {}\n", "for clf_name in classifier_names:\n", " for use_ssl_clf in [True, False]:\n", " for qs_name in query_strategy_names:\n", " accuracies = np.full((n_reps, n_cycles + 1), np.nan)\n", " for i_rep in range(n_reps):\n", " # initialize labels\n", " y_train = np.full(shape=len(X_pool), fill_value=missing_label)\n", "\n", " # initialize query strategy qs with subsampling\n", " qs = create_query_strategy(\n", " qs_name,\n", " random_state=gen_random_state(np.random.RandomState(i_rep)),\n", " )\n", " qs = SubSamplingWrapper(\n", " query_strategy=qs,\n", " missing_label=missing_label,\n", " random_state=gen_random_state(np.random.RandomState(i_rep)),\n", " exclude_non_subsample=True,\n", " max_candidates=0.1,\n", " )\n", " # initialize classifier with or without self-training\n", " raw_clf = create_classifier(\n", " clf_name,\n", " classes,\n", " gen_random_state(master_random_state)\n", " )\n", " if use_ssl_clf:\n", " # wrap classifier with SelfTrainingClassifier\n", " clf = SklearnClassifier(\n", " SelfTrainingClassifier(\n", " raw_clf,\n", " threshold=0.95,\n", " max_iter=0,\n", " ),\n", " include_unlabeled_samples=True,\n", " classes=classes,\n", " random_state=gen_random_state(np.random.RandomState(i_rep)),\n", " missing_label=missing_label\n", " )\n", " else:\n", " # Use regular classifier without wrapping it\n", " clf=raw_clf\n", " # Train and evaluate classifier without additionally queried data\n", " clf.fit(X_pool, y_train)\n", " accuracies[i_rep, 0] = clf.score(X_test, y_test)\n", "\n", " for c in tqdm(\n", " range(1, n_cycles + 1), desc=f\"Repeat {i_rep + 1} with {qs_name}\"\n", " ):\n", " # Query labels\n", " query_idx = call_func(\n", " qs.query,\n", " X=X_pool,\n", " y=y_train,\n", " batch_size=query_batch_size,\n", " clf=clf,\n", " discriminator=clf,\n", " update=True,\n", " fit_clf=False\n", " )\n", " y_train[query_idx] = y_pool[query_idx]\n", " # Set the number of iterations for SelfTraining\n", " if use_ssl_clf:\n", " clf.estimator.set_params(max_iter=min(max(0, c-5), 5))\n", " clf.fit(X_pool, y_train)\n", " accuracies[i_rep, c] = clf.score(X_test, y_test)\n", "\n", " results[(clf_name, use_ssl_clf, qs_name)] = accuracies"]}, {"cell_type": "markdown", "id": "998e52cb1a2107b", "metadata": {"collapsed": false}, "source": ["## Resulting Plotting\n", "\n", "We use learning curves to compare strategies. We visualize the average accuracy over all repetitions. In addition, the legend provides insight into the area under the learning curve, which indicates the average accuracy over all cycles. For this notebook we utilize dotted lines to show the average learning curves for experiments without a semi-supervised classifier while learning curves for classifiers wrapped with `SelfTrainingClassifier` are plotted using continous lines."]}, {"cell_type": "code", "execution_count": 8, "id": "7ed6ebe52431f489", "metadata": {"ExecuteTime": {"end_time": "2025-11-08T19:13:43.920250Z", "start_time": "2025-11-08T19:13:43.782135Z"}, "collapsed": false}, "outputs": [{"data": {"image/png": 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", "text/plain": ["
"]}, "metadata": {}, "output_type": "display_data"}], "source": ["for clf_name in classifier_names:\n", " plt.figure(figsize=(16, 9))\n", " for i_qs, qs_name in enumerate(query_strategy_names):\n", " for use_ssl in [False, True]:\n", " key = (clf_name, use_ssl, qs_name)\n", " result = results[key]\n", " reshaped_result = result.reshape((-1, n_cycles + 1))\n", " errorbar_mean = np.mean(reshaped_result, axis=0)\n", " errorbar_std = np.std(reshaped_result, axis=0)\n", " linestyle = ':'\n", " display_name = qs_name\n", " color = f'C{i_qs}'\n", " if use_ssl:\n", " linestyle = '-'\n", " display_name = qs_name+'+SelfTraining'\n", "\n", " plt.errorbar(\n", " np.arange(n_cycles + 1) * query_batch_size,\n", " errorbar_mean,\n", " errorbar_std,\n", " label=f\"{display_name}: ALCU={np.mean(errorbar_mean):.3f}\",\n", " alpha=0.5,\n", " color=color,\n", " linestyle=linestyle\n", " )\n", " plt.yticks(np.arange(0, 1.0, 0.1))\n", " plt.grid()\n", " plt.legend(loc=\"lower right\", fontsize=\"x-large\")\n", " plt.xlabel(\"# labeled samples\", fontsize=\"x-large\")\n", " plt.ylabel(\"accuracy\", 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}