From bf86e699e6929127ccb5876d8c62c70785390eb0 Mon Sep 17 00:00:00 2001 From: Jacob Schreiber Date: Thu, 18 Nov 2021 13:06:54 -0800 Subject: [PATCH] ADD workshop tutorials --- ...1. Practical Apricot Usage - Answers.ipynb | 1180 +++++++++++++++++ ... Practical Apricot Usage - Worksheet.ipynb | 876 ++++++++++++ 2 files changed, 2056 insertions(+) create mode 100644 tutorials/Workshop Tutorial 1. Practical Apricot Usage - Answers.ipynb create mode 100644 tutorials/Workshop Tutorial 1. Practical Apricot Usage - Worksheet.ipynb diff --git a/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Answers.ipynb b/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Answers.ipynb new file mode 100644 index 0000000..401a7d2 --- /dev/null +++ b/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Answers.ipynb @@ -0,0 +1,1180 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Workshop Tutorial 1: Practical Apricot Usage\n", + "\n", + "Welcome to a tutorial on how to reduce redundancy in massive data sets using submodular optimization! In this tutorial, we will explore submodular optimization at a high level and see how it can be used to select representative subsets of data; these subsets can then be used on their own, such as to create a highlight reel for an album, or to create smaller training sets for machine learning models that achieve similar performance in a fraction of the time. Although submodular optimization is as general-purpose as convex optimization, this tutorial will focus on using basic optimization algorithms on two main functions: a feature-based function, and facility location functions. Finally, this tutorial will focus on practical usage of apricot. Please see the other tutorials for more of the theory behind how these functions work. \n", + "\n", + "Let's get started!" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n" + ] + } + ], + "source": [ + "%pylab inline\n", + "import seaborn\n", + "seaborn.set_style('whitegrid')\n", + "\n", + "from tqdm import tqdm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Feature-based Selection\n", + "\n", + "A simple class of submodular functions are the feature-based ones. At a high level, feature-based functions are those that maximize diversity in the observed feature values themselves. This property means that they work well in settings where each feature represents some quality of the data and higher values mean that the example has more of that value: for instance, when vectorizing text data, each feature might represent a word and the value would be the number of times that the word appears in the document.\n", + "\n", + "More formally, feature-based functions take the form\n", + "\n", + "\\begin{equation}\n", + "f(X) = \\sum\\limits_{u \\in U} w_{u} \\phi_{u} \\left( \\sum\\limits_{x \\in X} m_{u}(x) \\right)\n", + "\\end{equation}\n", + "where $x$ is a single example, $X$ is the set of all examples, $u$ is a single feature, $U$ is the set of all features, $w$ is a weight foe each feature, and $\\phi$ is a saturating concave function such as log or sqrt." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 20 newsgroups\n", + "\n", + "Let's start off with some text data. Below, some code is provided to download a shuffled version of the 20 newsgroups data set, which contains articles and labels for 20 topics. However, as we can see, the downloaded text is not in a convenient featurized form that can be used by machine learning models." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"From: jeffp@vetmed.wsu.edu (Jeff Parke)\\nSubject: Re: Lyme vaccine\\nOrganization: College of Veterinary Medicine WSU\\nX-Newsreader: TIN [version 1.1 PL9]\\nLines: 13\\n\\nkathleen richards (kilty@ucrengr) wrote:\\n\\n> If you have time to type it in I'd love to have the reference for that\\n> paper! thanks!\\n\\nExperimental Lyme Disease in Dogs Produces Arthritis and Persistant Infection,\\nThe Journal of Infectious Diseases, March 1993, 167:651-664\\n\\n--\\nJeff Parke \\nalso: jeffp@WSUVM1.bitnet AOL: JeffParke\\nWashington State University College of Veterinary Medicine class of 1994\\nPullman, WA 99164-7012\\n\"" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.datasets import fetch_20newsgroups\n", + "\n", + "train_data = fetch_20newsgroups(subset='train', random_state=0, shuffle=True)\n", + "train_data.data[2]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Processing this to get rid of the weird characters like \"\\n\" and converting it to a vectorized form is not really the point of this tutorial, so let's use sklearn's built-in vectorizer to get a clean feature matrix to operate on. Please fill in the below cells." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(11314, 1000)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "\n", + "vectorizer = CountVectorizer(max_features=1000)\n", + "\n", + "X_train = vectorizer.fit_transform(train_data.data)\n", + "X_train.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at how dense that data is. We can do this by creating a heatmap where each red dot represents that the feature hasa non-zero value. If you implemented the above code correctly you should get a density of 0.08395." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "i = 1000\n", + "\n", + "X_random_block = X_train[:i].toarray()\n", + "random_density = (X_random_block != 0).mean()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "plt.scatter(*numpy.where(X_random_block.T[:i] != 0), c='r', s=0.05)\n", + "plt.xlim(0, i)\n", + "plt.ylim(0, i)\n", + "\n", + "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(random_density), fontsize=14)\n", + "plt.xlabel(\"Word Index\", fontsize=12)\n", + "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The above heat map is made up of the first 1000 entries in the data set after shuffling. It doesn't seem particularly dense; fewer than 10% of the values in the matrix are positive. This may not be particularly problematic when restricting to 1000 features, but since more features generally means more accuracy in this setting, is there a way to ensure that our subset sees a higher percentage of the features?\n", + "\n", + "Well, choosing examples that exhibit values in a diverse set of features is exactly what submodular optimization and feature based functions are good at. We can define a feature-based function easily using apricot, choose an equal sized subset of examples using submodular optimization, and re-visualize the chosen examples.\n", + "\n", + "Fill in the next code block, using a feature-based selector to choose 1000 samples with everything else set to the default parameters. You can also set `verbose=True` to see a progress bar during selection. Note that, while apricot can operate on sparse matrices, you might need to use the `toarray()` method to convert a sparse array to a dense array for the subsequent visualization step." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1.00k/1.00k [00:00<00:00, 1.10kit/s]\n" + ] + } + ], + "source": [ + "from apricot import FeatureBasedSelection\n", + "\n", + "selector = FeatureBasedSelection(n_samples=1000, verbose=True)\n", + "selector.fit(X_train)\n", + "\n", + "X_submodular_block = X_train[selector.ranking[:i]].toarray()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that you've selected the examples, we can visualize the block in the same way that we visualized the randomly selected examples. If you implemented the selector correctly, you should get a density of 0.2103. Visually, the heatmap should also look significantly more red. This is because we are intentionally choosing examples that have many non-zero values, i.e., rows that would have red in a lot of columns." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "submodular_density = (X_submodular_block != 0).mean()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "plt.scatter(*numpy.where(X_submodular_block.T[:i] != 0), c='r', s=0.05)\n", + "plt.xlim(0, i)\n", + "plt.ylim(0, i)\n", + "\n", + "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(submodular_density), fontsize=14)\n", + "plt.xlabel(\"Word Index\", fontsize=12)\n", + "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we can take a look at the number of words that are observed at least once as we select more and more examples, either randomly, or using submodular optimization. If your implementation of selecting a subset of examples using apricot is correct you should see that a larger number of words are observed earlier in the selection process when submodular optimization is used. You do not need to do anything here. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "random_seen_words = (numpy.cumsum(X_random_block, axis=0) > 0).sum(axis=1)\n", + "submodular_seen_words = (numpy.cumsum(X_submodular_block, axis=0) > 0).sum(axis=1)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"# Total Uniques Words Seen\", fontsize=14)\n", + "plt.plot(random_seen_words, color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(submodular_seen_words, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", + "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", + "plt.ylabel(\"# Words Seen At Least Once\", fontsize=12)\n", + "plt.legend(fontsize=12)\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"# New Words Seen per Example\", fontsize=14)\n", + "plt.plot(numpy.diff(random_seen_words), color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(numpy.diff(submodular_seen_words), color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", + "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", + "plt.ylabel(\"# New Words in Example\", fontsize=12)\n", + "plt.legend(fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we're going to move on to the primary goal of apricot: choosing subsets for training machine learning models. Unfortunately, this is not always straightforward. As an example, we are going to consider classifying a subset of classes from the 20 newsgroups data set. Here are the classes." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['alt.atheism',\n", + " 'comp.graphics',\n", + " 'comp.os.ms-windows.misc',\n", + " 'comp.sys.ibm.pc.hardware',\n", + " 'comp.sys.mac.hardware',\n", + " 'comp.windows.x',\n", + " 'misc.forsale',\n", + " 'rec.autos',\n", + " 'rec.motorcycles',\n", + " 'rec.sport.baseball',\n", + " 'rec.sport.hockey',\n", + " 'sci.crypt',\n", + " 'sci.electronics',\n", + " 'sci.med',\n", + " 'sci.space',\n", + " 'soc.religion.christian',\n", + " 'talk.politics.guns',\n", + " 'talk.politics.mideast',\n", + " 'talk.politics.misc',\n", + " 'talk.religion.misc']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fetch_20newsgroups(subset=\"train\").target_names" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As an initial example, we will focus on two classes that are somewhat related conceptually but will likely have distinct vocabularies. We will use the TF-IDF vectorizer instead of the count vectorizer because TF-IDF is a straightforward way to downweight words that appear in many articles and to upweight words that are somewhat rare and more likely to be topic-specific. Please fill in the below code involving processing the training and test data properly." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "((1187, 10000), (790, 10000), (1187,), (790,))" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.linear_model import SGDClassifier\n", + "\n", + "categories = ['sci.med', 'sci.space']\n", + "\n", + "train_data = fetch_20newsgroups(subset='train', categories=categories, random_state=0, shuffle=True)\n", + "test_data = fetch_20newsgroups(subset='test', categories=categories, random_state=0)\n", + "\n", + "vectorizer = TfidfVectorizer(max_features=10000)\n", + "\n", + "X_train = vectorizer.fit_transform(train_data.data)\n", + "X_test = vectorizer.transform(test_data.data)\n", + "\n", + "y_train = train_data.target\n", + "y_test = test_data.target\n", + "\n", + "X_train.shape, X_test.shape, y_train.shape, y_test.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, use a feature-based function to select 1000 examples from the training data. 1000 examples is almost all of the data, but because the selection process is greedy we can use it to rank most of the data and then choose increasingly large subsets to train the model." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1.00k/1.00k [00:07<00:00, 128it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "selector = FeatureBasedSelection(n_samples=1000, verbose=True)\n", + "selector.fit(X_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's train a SGG classifier on subsets of increasing size and compare to ten draws of similarly sized random subsets. Please fill in the below code, keeping in mind that the `selector.ranking` attribute contains a ranking of indices from the original data set. For example, if the first element was `10`, that would mean that `X_train[10]` was the first element chosen by the greedy optimization process." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 100/100 [00:02<00:00, 39.73it/s]\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model = SGDClassifier(random_state=0)\n", + "counts = numpy.arange(10, 1001, 10)\n", + "\n", + "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", + "random_accuracies, submodular_accuracies = [], []\n", + "\n", + "for count in tqdm(counts):\n", + " idxs = selector.ranking[:count]\n", + " model.fit(X_train[idxs], y_train[idxs])\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " submodular_accuracies.append(acc)\n", + " \n", + " accs = []\n", + " for i in range(10):\n", + " r_idxs = random_idxs[i, :count]\n", + " model.fit(X_train[r_idxs], y_train[r_idxs])\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " accs.append(acc)\n", + " \n", + " random_accuracies.append(accs)\n", + "\n", + "plt.title(\"20 Newsgroups Classification\", fontsize=14)\n", + "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(counts, submodular_accuracies, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", + "\n", + "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", + "plt.ylabel(\"Classification Accuracy\")\n", + "plt.legend(loc=4, fontsize=12)\n", + "\n", + "seaborn.despine()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like we can get almost the same performance with just 100 examples (~93% with submodular optimization and ~85% with random selection) as we could with the full set of 1000 examples. It is worth noting that there is a lot of variance when the number of examples chosen is very small, but that performance picks up pretty quickly. If you're not seeing these trends, it's possible that you implemented something incorrectly.\n", + "\n", + "If you'd like to explore apricot's abilities more broadly, try out the above cells using different sets of categories from the 20 newsgroups corpus and different types of classifiers. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### A Warning: Gaussian Blobs\n", + "\n", + "Unfortunately, not all data is amenable to feature-based functions. Specifically, data sets where the features don't follow the semantics that are assumed, i.e., non-negative and a higher value conveys some notion of having \"more\" of some feature. If you have features like coordinates or embeddings from a pre-trained model or projections from a method like tSNE or UMAP, they may not work as you'd like.\n", + "\n", + "Here, we will look at using data drawn from random Gaussian blobs." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import make_blobs\n", + "\n", + "numpy.random.seed(0)\n", + "centers = numpy.random.normal(100, 5, (5, 2))\n", + "X, y = make_blobs(n_samples=2500, n_features=2, centers=centers, random_state=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This time, we will fill in how to use a selector for you." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's apply the selector and get our representative subset!" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Oops. That doesn't look like a representative subset.\n", + "\n", + "Does this mean that feature-based functions cannot work in settings where the data doesn't have the same semantics as our assumptions? No! We just need to engineer features that do follow those semantics." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Feature Engineering for Feature-based Functions: Gaussian Mixture Models\n", + "\n", + "Potentially, one of the most straightforward ways to transform this Gaussian data would be to, first, apply a Gaussian mixture model to it, and second, use the posterior probabilities from that model as the features. Basically, instead of applying submodular optimization to the original feature values themselves, we apply them to the predicted class probabilities from the mixture model. These probabilities have all the properties that we would like: (1) because they are between zero and one they must be non-negative, (2) a higher value means an enrichment for that feature, i.e., a higher probability means an enrichment for class membership from that class.\n", + "\n", + "Using the `GaussianMixture` object below, transform the above data from in `X` from the original feature values into the posterior probabilities. Because the data was generated from five clusters, your mixture should have five components. If done correctly, the resulting shape should be `(2500, 5)`." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2500, 5)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.mixture import GaussianMixture\n", + "\n", + "model = GaussianMixture(5).fit(X)\n", + "X_posteriors = model.predict_proba(X)\n", + "X_posteriors.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, apply a feature-based selector as you've done in the past." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X_posteriors)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's plot the mixture centroids as well as the selected examples." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Does this look like what you might expect?\n", + "\n", + "If not, think more closely about the feature-based function and the data here. The sum of each example should be equal to one, so there are no examples that have a higher coverage of the feature space than other examples. However, the feature-based function includes a saturation function that diminishes the benefit of high values in one feature versus spreading them out across several features. Combined, these facts mean that the method will always try to choose examples that are split between multiple classes. Put another way, `numpy.sqrt([0.5, 0.5]).sum() = 1.414` is larger than `numpy.sqrt([1.0, 0]).sum() = 1.0`.\n", + "\n", + "Regardless of the explanation, this isn't exactly what we were expecting. What we'd like to do is have a way that our feature-based function can select examples near the middle of each cluster without needing cluster labels. The problem with using the posteriors, which are normalized to sum to 1, is that examples that are purest for a particular cluster are not the ones closest to the centroid but rather the ones that are on the other side of the centroid as all the other centroids. \n", + "\n", + "What does that mean? Well, let's use a simple trick to try to pick out the purest examples from each cluster. First, we need to transform these values such that values near one become bigger, so that purity is valued higher, but values near zero remain the same. We can use an `arctanh` function for that, but you should try out any other function you'd like to see the effects. Below is an example `arctanh` function." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x = numpy.arange(0, 1, 0.001)\n", + "plt.plot(x, numpy.arctanh(x))\n", + "plt.title(\"Example Non-Linear Function\", fontsize=14)\n", + "plt.xlabel(\"x\", fontsize=12)\n", + "plt.ylabel(\"arctanh(x)\", fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_arctanh = numpy.arctanh(X_posteriors - 1e-12) + 1e-12\n", + "\n", + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X_arctanh)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see some interesting trends here. Unlike the previous plot where all the chosen examples were near boundaries, most of the chosen examples are on very edge of the convex hull. A notable exception, however, is the top cluster. This is likely because the top cluster is so far away from the others that any example in it is considered \"pure.\" \n", + "\n", + "Finally, let's get to the expected behavior. We would like to design a transformation such that our selection chooses elements that are neat representations of each cluster individually. We saw previously that using the normalized posterior probabilities can be an issue because the normalization process encourages the chosen examples to be far away from the other centroids, rather than close to any particular centroid. If we get rid of that normalization process and instead use the raw probabilities that each example belongs to a particular mixture component, we can get around this.\n", + "\n", + "In the cell below, use the `multivariate_normal` method from scipy to calculate an array of probabilities for each example under each mixture component. Hint: you will need to do this separately for each component as part of a loop. Make sure that your final output is of shape `(n_samples, 5)`." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.stats import multivariate_normal\n", + "\n", + "X_probs = numpy.array([multivariate_normal.pdf(X, model.means_[i], model.covariances_[i]) for i in range(5)]).T\n", + "\n", + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X_probs)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you've done this correctly, you'll notice that all of the chosen examples are near the centroids of the clusters. \n", + "\n", + "At this point, you might be wondering \"why do I need submodular optimization to do this?\" because you can just take the examples closest to centroids. The answer is two-fold: first, submodular optimization can be applied to any type of transformation where it may not be obvious how to do it by hand. Second, submodular optimization automatically balances the number of examples chosen per centroid based on their distance. This isn't a particularly complicated task here where all of the clusters are distinct, but consider this example:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "numpy.random.seed(0)\n", + "centers = numpy.random.normal(100, 4, (5, 2))\n", + "X2, _ = make_blobs(n_samples=1000, n_features=2, centers=centers, cluster_std=3, random_state=0)\n", + "\n", + "model2 = GaussianMixture(5, random_state=0).fit(X2)\n", + "X_probs = numpy.array([multivariate_normal.pdf(X2, model2.means_[i], model2.covariances_[i]) for i in range(5)]).T\n", + "\n", + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X_probs)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X2.T, color='0.5', s=10)\n", + "plt.scatter(*model2.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X2.T, color='0.5', s=10)\n", + "plt.scatter(*model2.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X2[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, the selected examples are close to one of the centroids, which is arguably in low-data areas and probably have a smaller variance. Because the other four centroids are in data-richer areas their variances likely overlap significantly, and so the chosen examples are in the central region between the three of them. Simply choosing the points near the centroid would not give the same results. This isn't to say that this is always exactly the most representative set from this data, just that this is a case where submodular optimization will provide different results from a simpler approach." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Facility Location Selection\n", + "\n", + "An alternative to feature-based functions are graph-based functions. These functions operate on a similarity matrix (note: a similarity matrix is the inverse of a distance matrix, where the most similar elements in a distance matrix have a pairwise value of zero whereas the most distant elements in a similarity matrix have a pairwise value of zero) instead of the feature values directly. Graph-based functions are generally more versatile than feature-based ones because any featurization of data can be converted into a similarity graph by calculating the Euclidean distance or correlation between examples, but data types that are inherently graphs can also be operated on. \n", + "\n", + "A specific graph-based function is the facility location function, which has been used in the past to literally locate new facilities. In this setting, one wants to identify the next location that would serve the most people that are currently underserved without having to move any of the previous locations. The facility location function takes the following form: \n", + "\n", + "\\begin{equation}\n", + "f(X, V) = \\sum\\limits_{v \\in V} \\max\\limits_{x \\in X} \\phi(x, v)\n", + "\\end{equation}\n", + "where $x$ is a selected example $X$ is the set of already selected examples, $v$ is an unselected example, $V$ is the set of unselected examples, and $\\phi$ is a similarity function that either returns an entry in a pre-defined similarity matrix or calculates the similarity between two examples.\n", + "\n", + "A challenge with using graph-based functions is that the similarity matrix has to be calculated and stored in memory for efficient computation, which can be challenging for massive data sets. However, it is more versatile because similarities can be calculated that are more informative than simple featurizations." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Greedy Version of K-means Clustering\n", + "\n", + "A simple way to think about using submodular optimization to optimize a facility location function is that it is a greedy version of k-medoids clustering. As a refresher, k-medoids clustering is similar to k-means except that the cluster centroids must be examples from the training set. It is similar to the difference between calculating the mean and calculating the median. Submodular optimization on a facility location function involves iteratively choosing the example that best explains the previously explained examples, i.e., that maximizes the increase in similarity between all of the examples and all of the chosen examples.\n", + "\n", + "What does that look like in practice? Implement a facility location selection object to choose 50 examples. You'll notice that, despite being a graph-based function, you can still pass in a feature matrix and it will automatically calculate a similarity graph from that." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from apricot import FacilityLocationSelection\n", + "\n", + "selector = FacilityLocationSelection(n_samples=50)\n", + "selector.fit(X)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.7', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Facility Location Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.7', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The selected examples should appear to be fairly uniformly distributed across the space. If you're noticing a concentration of points anywhere, you may have incorrectly implemented something.\n", + "\n", + "To get a sense for the selection process, let's visualize the iterative process of selecting examples." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(14, 8))\n", + "for i in range(10):\n", + " plt.subplot(2, 5, i+1)\n", + " plt.title(\"{} Selections\".format(i+1), fontsize=14)\n", + " plt.scatter(*X.T, color='0.7', s=10)\n", + " \n", + " if i > 0:\n", + " plt.scatter(*X[selector.ranking[:i]].T, color='0.1', s=10, label=\"Selected Examples\")\n", + " \n", + " plt.scatter(*X[selector.ranking[i]].T, color='#FF6600', s=10, label=\"Next Selection\")\n", + " plt.axis('off')\n", + "\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You'll notice that the first example comes from around the center of the data set. As a greedy approach, the optimizer is trying to find the single best example without knowing if it will be able to choose future ones. Then, the second example comes from an underrepresented area, etc." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Digits Data Set\n", + "\n", + "Now, let's apply facility location functions to choosing data for machine learning. A constraint of the feature-based functions is that they only work when the features follow a particular set of semantics. Although there are powerful approaches for transforming features into new features that follow those semantics, it's also nice to not have to do anything fancy to get a good set of items. A good example of data where the assumptions of feature-based functions don't work out of the box are those that involve images.\n", + "\n", + "Let's download a reduced version of the digits data set and try training a machine learning model using selected subsets or random subsets, as we did before." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import load_digits\n", + "\n", + "random.seed(0)\n", + "\n", + "X, y = load_digits(return_X_y=True)\n", + "\n", + "idxs = numpy.arange(X.shape[0])\n", + "numpy.random.shuffle(idxs)\n", + "\n", + "X = X[idxs]\n", + "y = y[idxs]\n", + "\n", + "X_train, y_train = X[:1000], y[:1000]\n", + "X_test, y_test = X[1000:], y[1000:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, impelment a facility location function to choose 1000 examples and a feature-based function to also choose 1000 examples, for comparison." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fl_selector = FacilityLocationSelection(n_samples=1000)\n", + "fl_selector.fit(X_train)\n", + "\n", + "fb_selector = FeatureBasedSelection(n_samples=1000)\n", + "fb_selector.fit(X_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's see how the subsets selected using facility location fare against those selected using random selection or feature-based selection." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 100/100 [00:17<00:00, 5.73it/s]\n" + ] + } + ], + "source": [ + "numpy.random.seed(0)\n", + "\n", + "model = SGDClassifier(random_state=0)\n", + "counts = numpy.arange(10, 1001, 10)\n", + "\n", + "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", + "random_accuracies, fl_accuracies, fb_accuracies = [], [], []\n", + "\n", + "for count in tqdm(counts):\n", + " #\n", + " idxs = fl_selector.ranking[:count]\n", + " model.fit(X_train[idxs], y_train[idxs])\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " fl_accuracies.append(acc)\n", + "\n", + " #\n", + " idxs = fb_selector.ranking[:count]\n", + " model.fit(X_train[idxs], y_train[idxs])\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " fb_accuracies.append(acc)\n", + " \n", + " accs = []\n", + " for i in range(10):\n", + " r_idxs = random_idxs[i, :count]\n", + " model.fit(X_train[r_idxs], y_train[r_idxs])\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " accs.append(acc)\n", + " \n", + " random_accuracies.append(accs)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.title(\"Reduced MNIST Classification\", fontsize=14)\n", + "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(counts, fl_accuracies, color='#FF6600', linewidth=2, label=\"Facility Location Optimization\")\n", + "plt.plot(counts, fb_accuracies, color='g', linewidth=2, label=\"Feature-Based Optimization\")\n", + "\n", + "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", + "plt.ylabel(\"Classification Accuracy\")\n", + "plt.legend(loc=4, fontsize=12)\n", + "\n", + "seaborn.despine()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like the facility location function achieves high accuracy with only a small number of examples! Using only 40 examples achieves almost 90% accuracy, whereas it takes almost 200 randomly selected examples to get hat performance on average. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Worksheet.ipynb b/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Worksheet.ipynb new file mode 100644 index 0000000..3ab715c --- /dev/null +++ b/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Worksheet.ipynb @@ -0,0 +1,876 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Workshop Tutorial 1: Practical Apricot Usage\n", + "\n", + "Welcome to a tutorial on how to reduce redundancy in massive data sets using submodular optimization! In this tutorial, we will explore submodular optimization at a high level and see how it can be used to select representative subsets of data; these subsets can then be used on their own, such as to create a highlight reel for an album, or to create smaller training sets for machine learning models that achieve similar performance in a fraction of the time. Although submodular optimization is as general-purpose as convex optimization, this tutorial will focus on using basic optimization algorithms on two main functions: a feature-based function, and facility location functions. Finally, this tutorial will focus on practical usage of apricot. Please see the other tutorials for more of the theory behind how these functions work. \n", + "\n", + "Let's get started!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%pylab inline\n", + "import seaborn\n", + "seaborn.set_style('whitegrid')\n", + "\n", + "from tqdm import tqdm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Feature-based Selection\n", + "\n", + "A simple class of submodular functions are the feature-based ones. At a high level, feature-based functions are those that maximize diversity in the observed feature values themselves. This property means that they work well in settings where each feature represents some quality of the data and higher values mean that the example has more of that value: for instance, when vectorizing text data, each feature might represent a word and the value would be the number of times that the word appears in the document.\n", + "\n", + "More formally, feature-based functions take the form\n", + "\n", + "\\begin{equation}\n", + "f(X) = \\sum\\limits_{u \\in U} w_{u} \\phi_{u} \\left( \\sum\\limits_{x \\in X} m_{u}(x) \\right)\n", + "\\end{equation}\n", + "where $x$ is a single example, $X$ is the set of all examples, $u$ is a single feature, $U$ is the set of all features, $w$ is a weight foe each feature, and $\\phi$ is a saturating concave function such as log or sqrt." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 20 newsgroups\n", + "\n", + "Let's start off with some text data. Below, some code is provided to download a shuffled version of the 20 newsgroups data set, which contains articles and labels for 20 topics. However, as we can see, the downloaded text is not in a convenient featurized form that can be used by machine learning models." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import fetch_20newsgroups\n", + "\n", + "train_data = fetch_20newsgroups(subset='train', random_state=0, shuffle=True)\n", + "train_data.data[2]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Processing this to get rid of the weird characters like \"\\n\" and converting it to a vectorized form is not really the point of this tutorial, so let's use sklearn's built-in vectorizer to get a clean feature matrix to operate on. Please fill in the below cells." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "\n", + "vectorizer = ...\n", + "\n", + "X_train = ...\n", + "X_train.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at how dense that data is. We can do this by creating a heatmap where each red dot represents that the feature hasa non-zero value. If you implemented the above code correctly you should get a density of 0.08395." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "i = 1000\n", + "\n", + "X_random_block = X_train[:i].toarray()\n", + "random_density = (X_random_block != 0).mean()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "plt.scatter(*numpy.where(X_random_block.T[:i] != 0), c='r', s=0.05)\n", + "plt.xlim(0, i)\n", + "plt.ylim(0, i)\n", + "\n", + "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(random_density), fontsize=14)\n", + "plt.xlabel(\"Word Index\", fontsize=12)\n", + "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The above heat map is made up of the first 1000 entries in the data set after shuffling. It doesn't seem particularly dense; fewer than 10% of the values in the matrix are positive. This may not be particularly problematic when restricting to 1000 features, but since more features generally means more accuracy in this setting, is there a way to ensure that our subset sees a higher percentage of the features?\n", + "\n", + "Well, choosing examples that exhibit values in a diverse set of features is exactly what submodular optimization and feature based functions are good at. We can define a feature-based function easily using apricot, choose an equal sized subset of examples using submodular optimization, and re-visualize the chosen examples.\n", + "\n", + "Fill in the next code block, using a feature-based selector to choose 1000 samples with everything else set to the default parameters. You can also set `verbose=True` to see a progress bar during selection. Note that, while apricot can operate on sparse matrices, you might need to use the `toarray()` method to convert a sparse array to a dense array for the subsequent visualization step." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from apricot import FeatureBasedSelection\n", + "\n", + "selector = ...\n", + "\n", + "X_submodular_block = ..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that you've selected the examples, we can visualize the block in the same way that we visualized the randomly selected examples. If you implemented the selector correctly, you should get a density of 0.2103. Visually, the heatmap should also look significantly more red. This is because we are intentionally choosing examples that have many non-zero values, i.e., rows that would have red in a lot of columns." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "submodular_density = (X_submodular_block != 0).mean()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "plt.scatter(*numpy.where(X_submodular_block.T[:i] != 0), c='r', s=0.05)\n", + "plt.xlim(0, i)\n", + "plt.ylim(0, i)\n", + "\n", + "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(submodular_density), fontsize=14)\n", + "plt.xlabel(\"Word Index\", fontsize=12)\n", + "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we can take a look at the number of words that are observed at least once as we select more and more examples, either randomly, or using submodular optimization. If your implementation of selecting a subset of examples using apricot is correct you should see that a larger number of words are observed earlier in the selection process when submodular optimization is used. You do not need to do anything here. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "random_seen_words = (numpy.cumsum(X_random_block, axis=0) > 0).sum(axis=1)\n", + "submodular_seen_words = (numpy.cumsum(X_submodular_block, axis=0) > 0).sum(axis=1)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"# Total Uniques Words Seen\", fontsize=14)\n", + "plt.plot(random_seen_words, color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(submodular_seen_words, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", + "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", + "plt.ylabel(\"# Words Seen At Least Once\", fontsize=12)\n", + "plt.legend(fontsize=12)\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"# New Words Seen per Example\", fontsize=14)\n", + "plt.plot(numpy.diff(random_seen_words), color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(numpy.diff(submodular_seen_words), color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", + "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", + "plt.ylabel(\"# New Words in Example\", fontsize=12)\n", + "plt.legend(fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we're going to move on to the primary goal of apricot: choosing subsets for training machine learning models. Unfortunately, this is not always straightforward. As an example, we are going to consider classifying a subset of classes from the 20 newsgroups data set. Here are the classes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fetch_20newsgroups(subset=\"train\").target_names" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As an initial example, we will focus on two classes that are somewhat related conceptually but will likely have distinct vocabularies. We will use the TF-IDF vectorizer instead of the count vectorizer because TF-IDF is a straightforward way to downweight words that appear in many articles and to upweight words that are somewhat rare and more likely to be topic-specific. Please fill in the below code involving processing the training and test data properly." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.linear_model import SGDClassifier\n", + "\n", + "categories = ['sci.med', 'sci.space']\n", + "\n", + "train_data = fetch_20newsgroups(subset='train', categories=categories, random_state=0, shuffle=True)\n", + "test_data = fetch_20newsgroups(subset='test', categories=categories, random_state=0)\n", + "\n", + "vectorizer = ...\n", + "\n", + "X_train = ...\n", + "X_test = ...\n", + "\n", + "y_train = ...\n", + "y_test = ...\n", + "\n", + "X_train.shape, X_test.shape, y_train.shape, y_test.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, use a feature-based function to select 1000 examples from the training data. 1000 examples is almost all of the data, but because the selection process is greedy we can use it to rank most of the data and then choose increasingly large subsets to train the model." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "selector = ..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's train a SGG classifier on subsets of increasing size and compare to ten draws of similarly sized random subsets. Please fill in the below code, keeping in mind that the `selector.ranking` attribute contains a ranking of indices from the original data set. For example, if the first element was `10`, that would mean that `X_train[10]` was the first element chosen by the greedy optimization process." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model = SGDClassifier(random_state=0)\n", + "counts = numpy.arange(10, 1001, 10)\n", + "\n", + "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", + "random_accuracies, submodular_accuracies = [], []\n", + "\n", + "for count in tqdm(counts):\n", + " idxs = selector.ranking[:count]\n", + " \n", + " ...\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " submodular_accuracies.append(acc)\n", + " \n", + " accs = []\n", + " for i in range(10):\n", + " r_idxs = random_idxs[i, :count]\n", + " \n", + " ...\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " accs.append(acc)\n", + " \n", + " random_accuracies.append(accs)\n", + "\n", + "plt.title(\"20 Newsgroups Classification\", fontsize=14)\n", + "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(counts, submodular_accuracies, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", + "\n", + "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", + "plt.ylabel(\"Classification Accuracy\")\n", + "plt.legend(loc=4, fontsize=12)\n", + "\n", + "seaborn.despine()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like we can get almost the same performance with just 100 examples (~93% with submodular optimization and ~85% with random selection) as we could with the full set of 1000 examples. It is worth noting that there is a lot of variance when the number of examples chosen is very small, but that performance picks up pretty quickly. If you're not seeing these trends, it's possible that you implemented something incorrectly.\n", + "\n", + "If you'd like to explore apricot's abilities more broadly, try out the above cells using different sets of categories from the 20 newsgroups corpus and different types of classifiers. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### A Warning: Gaussian Blobs\n", + "\n", + "Unfortunately, not all data is amenable to feature-based functions. Specifically, data sets where the features don't follow the semantics that are assumed, i.e., non-negative and a higher value conveys some notion of having \"more\" of some feature. If you have features like coordinates or embeddings from a pre-trained model or projections from a method like tSNE or UMAP, they may not work as you'd like.\n", + "\n", + "Here, we will look at using data drawn from random Gaussian blobs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import make_blobs\n", + "\n", + "numpy.random.seed(0)\n", + "centers = numpy.random.normal(100, 5, (5, 2))\n", + "X, y = make_blobs(n_samples=2500, n_features=2, centers=centers, random_state=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This time, we will fill in how to use a selector for you." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's apply the selector and get our representative subset!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Oops. That doesn't look like a representative subset.\n", + "\n", + "Does this mean that feature-based functions cannot work in settings where the data doesn't have the same semantics as our assumptions? No! We just need to engineer features that do follow those semantics." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Feature Engineering for Feature-based Functions: Gaussian Mixture Models\n", + "\n", + "Potentially, one of the most straightforward ways to transform this Gaussian data would be to, first, apply a Gaussian mixture model to it, and second, use the posterior probabilities from that model as the features. Basically, instead of applying submodular optimization to the original feature values themselves, we apply them to the predicted class probabilities from the mixture model. These probabilities have all the properties that we would like: (1) because they are between zero and one they must be non-negative, (2) a higher value means an enrichment for that feature, i.e., a higher probability means an enrichment for class membership from that class.\n", + "\n", + "Using the `GaussianMixture` object below, transform the above data from in `X` from the original feature values into the posterior probabilities. Because the data was generated from five clusters, your mixture should have five components. If done correctly, the resulting shape should be `(2500, 5)`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.mixture import GaussianMixture\n", + "\n", + "model = ...\n", + "X_posteriors = ...\n", + "X_posteriors.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, apply a feature-based selector as you've done in the past." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(...)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's plot the mixture centroids as well as the selected examples." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Does this look like what you might expect?\n", + "\n", + "If not, think more closely about the feature-based function and the data here. The sum of each example should be equal to one, so there are no examples that have a higher coverage of the feature space than other examples. However, the feature-based function includes a saturation function that diminishes the benefit of high values in one feature versus spreading them out across several features. Combined, these facts mean that the method will always try to choose examples that are split between multiple classes. Put another way, `numpy.sqrt([0.5, 0.5]).sum() = 1.414` is larger than `numpy.sqrt([1.0, 0]).sum() = 1.0`.\n", + "\n", + "Regardless of the explanation, this isn't exactly what we were expecting. What we'd like to do is have a way that our feature-based function can select examples near the middle of each cluster without needing cluster labels. The problem with using the posteriors, which are normalized to sum to 1, is that examples that are purest for a particular cluster are not the ones closest to the centroid but rather the ones that are on the other side of the centroid as all the other centroids. \n", + "\n", + "What does that mean? Well, let's use a simple trick to try to pick out the purest examples from each cluster. First, we need to transform these values such that values near one become bigger, so that purity is valued higher, but values near zero remain the same. We can use an `arctanh` function for that, but you should try out any other function you'd like to see the effects. Below is an example `arctanh` function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x = numpy.arange(0, 1, 0.001)\n", + "plt.plot(x, numpy.arctanh(x))\n", + "plt.title(\"Example Non-Linear Function\", fontsize=14)\n", + "plt.xlabel(\"x\", fontsize=12)\n", + "plt.ylabel(\"arctanh(x)\", fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X_arctanh = numpy.arctanh(X_posteriors - 1e-12) + 1e-12\n", + "\n", + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X_arctanh)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see some interesting trends here. Unlike the previous plot where all the chosen examples were near boundaries, most of the chosen examples are on very edge of the convex hull. A notable exception, however, is the top cluster. This is likely because the top cluster is so far away from the others that any example in it is considered \"pure.\" \n", + "\n", + "Finally, let's get to the expected behavior. We would like to design a transformation such that our selection chooses elements that are neat representations of each cluster individually. We saw previously that using the normalized posterior probabilities can be an issue because the normalization process encourages the chosen examples to be far away from the other centroids, rather than close to any particular centroid. If we get rid of that normalization process and instead use the raw probabilities that each example belongs to a particular mixture component, we can get around this.\n", + "\n", + "In the cell below, use the `multivariate_normal` method from scipy to calculate an array of probabilities for each example under each mixture component. Hint: you will need to do this separately for each component as part of a loop. Make sure that your final output is of shape `(n_samples, 5)`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.stats import multivariate_normal\n", + "\n", + "X_probs = ...\n", + "\n", + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X_probs)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.5', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you've done this correctly, you'll notice that all of the chosen examples are near the centroids of the clusters. \n", + "\n", + "At this point, you might be wondering \"why do I need submodular optimization to do this?\" because you can just take the examples closest to centroids. The answer is two-fold: first, submodular optimization can be applied to any type of transformation where it may not be obvious how to do it by hand. Second, submodular optimization automatically balances the number of examples chosen per centroid based on their distance. This isn't a particularly complicated task here where all of the clusters are distinct, but consider this example:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "numpy.random.seed(0)\n", + "centers = numpy.random.normal(100, 4, (5, 2))\n", + "X2, _ = make_blobs(n_samples=1000, n_features=2, centers=centers, cluster_std=3, random_state=0)\n", + "\n", + "model2 = GaussianMixture(5, random_state=0).fit(X2)\n", + "X_probs = numpy.array([multivariate_normal.pdf(X2, model2.means_[i], model2.covariances_[i]) for i in range(5)]).T\n", + "\n", + "selector = FeatureBasedSelection(n_samples=100)\n", + "selector.fit(X_probs)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X2.T, color='0.5', s=10)\n", + "plt.scatter(*model2.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", + "plt.scatter(*X2.T, color='0.5', s=10)\n", + "plt.scatter(*model2.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X2[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, the selected examples are close to one of the centroids, which is arguably in low-data areas and probably have a smaller variance. Because the other four centroids are in data-richer areas their variances likely overlap significantly, and so the chosen examples are in the central region between the three of them. Simply choosing the points near the centroid would not give the same results. This isn't to say that this is always exactly the most representative set from this data, just that this is a case where submodular optimization will provide different results from a simpler approach." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Facility Location Selection\n", + "\n", + "An alternative to feature-based functions are graph-based functions. These functions operate on a similarity matrix (note: a similarity matrix is the inverse of a distance matrix, where the most similar elements in a distance matrix have a pairwise value of zero whereas the most distant elements in a similarity matrix have a pairwise value of zero) instead of the feature values directly. Graph-based functions are generally more versatile than feature-based ones because any featurization of data can be converted into a similarity graph by calculating the Euclidean distance or correlation between examples, but data types that are inherently graphs can also be operated on. \n", + "\n", + "A specific graph-based function is the facility location function, which has been used in the past to literally locate new facilities. In this setting, one wants to identify the next location that would serve the most people that are currently underserved without having to move any of the previous locations. The facility location function takes the following form: \n", + "\n", + "\\begin{equation}\n", + "f(X, V) = \\sum\\limits_{v \\in V} \\max\\limits_{x \\in X} \\phi(x, v)\n", + "\\end{equation}\n", + "where $x$ is a selected example $X$ is the set of already selected examples, $v$ is an unselected example, $V$ is the set of unselected examples, and $\\phi$ is a similarity function that either returns an entry in a pre-defined similarity matrix or calculates the similarity between two examples.\n", + "\n", + "A challenge with using graph-based functions is that the similarity matrix has to be calculated and stored in memory for efficient computation, which can be challenging for massive data sets. However, it is more versatile because similarities can be calculated that are more informative than simple featurizations." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Greedy Version of K-means Clustering\n", + "\n", + "A simple way to think about using submodular optimization to optimize a facility location function is that it is a greedy version of k-medoids clustering. As a refresher, k-medoids clustering is similar to k-means except that the cluster centroids must be examples from the training set. It is similar to the difference between calculating the mean and calculating the median. Submodular optimization on a facility location function involves iteratively choosing the example that best explains the previously explained examples, i.e., that maximizes the increase in similarity between all of the examples and all of the chosen examples.\n", + "\n", + "What does that look like in practice? Implement a facility location selection object to choose 50 examples. You'll notice that, despite being a graph-based function, you can still pass in a feature matrix and it will automatically calculate a similarity graph from that." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from apricot import FacilityLocationSelection\n", + "\n", + "selector = ...\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(121)\n", + "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.7', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10)\n", + "plt.axis('off')\n", + "\n", + "plt.subplot(122)\n", + "plt.title(\"Facility Location Selected Examples\", fontsize=14)\n", + "plt.scatter(*X.T, color='0.7', s=10)\n", + "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", + "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", + "plt.axis('off')\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The selected examples should appear to be fairly uniformly distributed across the space. If you're noticing a concentration of points anywhere, you may have incorrectly implemented something.\n", + "\n", + "To get a sense for the selection process, let's visualize the iterative process of selecting examples." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(14, 8))\n", + "for i in range(10):\n", + " plt.subplot(2, 5, i+1)\n", + " plt.title(\"{} Selections\".format(i+1), fontsize=14)\n", + " plt.scatter(*X.T, color='0.7', s=10)\n", + " \n", + " if i > 0:\n", + " plt.scatter(*X[selector.ranking[:i]].T, color='0.1', s=10, label=\"Selected Examples\")\n", + " \n", + " plt.scatter(*X[selector.ranking[i]].T, color='#FF6600', s=10, label=\"Next Selection\")\n", + " plt.axis('off')\n", + "\n", + "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You'll notice that the first example comes from around the center of the data set. As a greedy approach, the optimizer is trying to find the single best example without knowing if it will be able to choose future ones. Then, the second example comes from an underrepresented area, etc." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Digits Data Set\n", + "\n", + "Now, let's apply facility location functions to choosing data for machine learning. A constraint of the feature-based functions is that they only work when the features follow a particular set of semantics. Although there are powerful approaches for transforming features into new features that follow those semantics, it's also nice to not have to do anything fancy to get a good set of items. A good example of data where the assumptions of feature-based functions don't work out of the box are those that involve images.\n", + "\n", + "Let's download a reduced version of the digits data set and try training a machine learning model using selected subsets or random subsets, as we did before." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import load_digits\n", + "\n", + "random.seed(0)\n", + "\n", + "X, y = load_digits(return_X_y=True)\n", + "\n", + "idxs = numpy.arange(X.shape[0])\n", + "numpy.random.shuffle(idxs)\n", + "\n", + "X = X[idxs]\n", + "y = y[idxs]\n", + "\n", + "X_train, y_train = X[:1000], y[:1000]\n", + "X_test, y_test = X[1000:], y[1000:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, impelment a facility location function to choose 1000 examples and a feature-based function to also choose 1000 examples, for comparison." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fl_selector = ...\n", + "\n", + "fb_selector = ..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's see how the subsets selected using facility location fare against those selected using random selection or feature-based selection." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "numpy.random.seed(0)\n", + "\n", + "model = SGDClassifier(random_state=0)\n", + "counts = numpy.arange(10, 1001, 10)\n", + "\n", + "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", + "random_accuracies, fl_accuracies, fb_accuracies = [], [], []\n", + "\n", + "for count in tqdm(counts):\n", + " #\n", + " idxs = ...\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " fl_accuracies.append(acc)\n", + "\n", + " #\n", + " idxs = ...\n", + "\n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " fb_accuracies.append(acc)\n", + " \n", + " accs = []\n", + " for i in range(10):\n", + " r_idxs = random_idxs[i, :count]\n", + " ...\n", + " \n", + " y_hat = model.predict(X_test)\n", + " acc = (y_hat == y_test).mean()\n", + " accs.append(acc)\n", + " \n", + " random_accuracies.append(accs)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.title(\"Reduced MNIST Classification\", fontsize=14)\n", + "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", + "plt.plot(counts, fl_accuracies, color='#FF6600', linewidth=2, label=\"Facility Location Optimization\")\n", + "plt.plot(counts, fb_accuracies, color='g', linewidth=2, label=\"Feature-Based Optimization\")\n", + "\n", + "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", + "plt.ylabel(\"Classification Accuracy\")\n", + "plt.legend(loc=4, fontsize=12)\n", + "\n", + "seaborn.despine()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like the facility location function achieves high accuracy with only a small number of examples! Using only 40 examples achieves almost 90% accuracy, whereas it takes almost 200 randomly selected examples to get hat performance on average. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}