{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Tuning the hyperparameters of Slisemap" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "In this notebook we will demonstrate how to automatically tune the regularisation hyperparameters of Slisemap and Slipmap (the procedures described in this notebook works for both methods).\n", "The `scikit-optimize` library is required to run this notebook (e.g., via `pip install \"slisemap[tuning]\"` or `pip install scikit-optimize`).\n", "As the dataset we will use the *Magic Telescope* dataset." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import sys\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "from pathlib import Path\n", "from urllib.request import urlretrieve\n", "\n", "from sklearn.datasets import fetch_openml\n", "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "sys.path.insert(0, \"..\")\n", "\n", "from slisemap import Slipmap\n", "from slisemap.local_models import LogisticRegression\n", "from slisemap.tuning import optimise_with_test\n", "from slisemap.metrics import accuracy" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Objectives\n", "\n", "These are the objectives of this notebook:\n", "\n", "- Describe the hyperparameters of Slisemap.\n", "- Discuss how unseen data can be used to evaluate Slisemap.\n", "- Demonstrate how this can be used to tune the hyperparameters.\n", "- Discuss the symbiosis with subsampling." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Hyperparameters\n", "\n", "Below are the most interesting hyperparameters described in more detail:\n", "\n", "- __local_model / local_loss__: *Prediction and loss function for the local models*. The local model must be selected to suit the data. Slisemap comes with some already implemented models: linear regression (for regression) and logistic regression (for classification).\n", "\n", "- __lasso / ridge__: *Coefficients for Lasso/L1 regularisation and Ridge/L2 regularisation*. Since the local model are local (only fit a subset of all the data) there is a greater risk of overfitting. Therefore, it is strongly recommended to use some kind of regularisation. Slisemap comes with two common types of regularisation that can be enabled through the `lasso` and `ridge` parameters.\n", "\n", "- __radius__: *The `radius` controls size of the embedding*. The larger the `radius` the more \"independent clusters\" can exist in the embedding at once.\n", "\n", "- __d__: *The number of embedding dimensions*. Since most computer monitors are 2D it is very convenient to keep `d=2`.\n", "\n", "- __intercept__: *Include an intercept term*. For linear model it is common to include an intercept term. Slisemap can automatically add a constant to column to the data (creating an intercept term in linear local models).\n", "\n", "\n", "In this notebook we will focus on `lasso` and `ridge` because these are maybe the least intuitive of the hyperparameters.\n", "While the choice of local model (including loss and intercept) depends on the data, so it is left for manual selection." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Results caching\n", "\n", "To reduce execution times, we provide pretrained Slisemap models. If you want to train them yourself instead please set `USE_CACHE=False`." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "USE_CACHE = True\n", "SM_V1_CACHE_PATH = Path(\"cache\") / \"03_hyperparameter_tuning_example.v1.sp\"\n", "SM_V2_CACHE_PATH = Path(\"cache\") / \"03_hyperparameter_tuning_example.v2.sp\"\n", "\n", "for path in [SM_V1_CACHE_PATH, SM_V2_CACHE_PATH]:\n", " path.parent.mkdir(exist_ok=True, parents=True)\n", " if USE_CACHE and not path.exists():\n", " try:\n", " urlretrieve(\n", " f\"https://raw.githubusercontent.com/edahelsinki/slisemap/data/examples/cache/{path.name}\",\n", " path,\n", " )\n", " except:\n", " pass" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Data\n", "\n", "__Magic Telescope dataset:__\n", "The data are MC generated to simulate registration of high energy gamma particles in a ground-based atmospheric Cherenkov gamma telescope using the imaging technique. Cherenkov gamma telescope observes high energy gamma rays, taking advantage of the radiation emitted by charged particles produced inside the electromagnetic showers initiated by the gammas, and developing in the atmosphere. This Cherenkov radiation (of visible to UV wavelengths) leaks through the atmosphere and gets recorded in the detector, allowing reconstruction of the shower parameters.\n", "\n", "> Bock, R.K., Chilingarian, A., Gaug, M., Hakl, F., Hengstebeck, T., Jirina, M., Klaschka, J., Kotrc, E., Savicky, P., Towers, S., Vaicilius, A., Wittek W. (2004). Methods for multidimensional event classification: a case study using images from a Cherenkov gamma-ray telescope. Nucl.Instr.Meth. A, 516, pp. 511-528." ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [], "source": [ "# Download the Magic Telescope dataset from https://www.openml.org/d/1120\n", "data = fetch_openml(data_id=1120)\n", "data = data.frame.dropna()\n", "X = data.iloc[:, :-1]\n", "scale_x = StandardScaler()\n", "X = pd.DataFrame(scale_x.fit_transform(X), columns=X.columns)\n", "y = pd.get_dummies(data.iloc[:, -1:])\n", "y.columns = [\"signal\", \"background\"]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Correctly classified: 0.8802313354363828\n" ] } ], "source": [ "random_forest = RandomForestClassifier(random_state=42).fit(X.iloc[::2], y.iloc[::2])\n", "y2 = random_forest.predict_proba(X)[1]\n", "print(\"Correctly classified:\", np.mean(np.argmax(y.to_numpy(), 1)[1::2] == np.argmax(y2, 1)[1::2]))" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Slisemap\n", "\n", "We subsample 2000 data items for training, 2000 for testing, and the rest as validation data." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Subsample the data\n", "X_train, X_test, y_train, y_test = train_test_split(\n", " X, y2, train_size=2000, stratify=y.iloc[:, 0], random_state=42\n", ")\n", "X_test, X_validation, y_test, y_validation = train_test_split(\n", " X_test, y_test, train_size=2000, stratify=y_test[:, 0] > 0.5, random_state=42\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now we create a Slipmap object and optimise the solution.\n", "Since we are dealing with a classification task we replace the default white box model with logistic regression." ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [], "source": [ "if USE_CACHE and SM_V1_CACHE_PATH.exists():\n", " sm = Slipmap.load(SM_V1_CACHE_PATH, device=\"cpu\")\n", "else:\n", " # Create a Slisemap object with lasso regularisation\n", " sm = Slipmap(\n", " X_train,\n", " y_train,\n", " lasso=0.0001,\n", " ridge=0.0001,\n", " intercept=False,\n", " local_model=LogisticRegression,\n", " )\n", " # Optimise the solution\n", " sm.optimise()\n", " # Metadata\n", " sm.metadata.set_targets(y.columns)\n", " sm.metadata.set_scale_X(scale_x.mean_, scale_x.scale_)\n", " # Cache the results\n", " sm.save(SM_V1_CACHE_PATH)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Here we guessed that `lasso=0.0001` and `ridge=0.0001` would be good values. But how can we check if this is actually true?" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Evaluation using validation data\n", "\n", "To measure how well the Slisemap solution generalises to unseen data we can use the `accuracy` function from `slisemap.metrics`.\n", "This function predicts the value for the unseen data items (using `Slisemap.predict` to copy an existing local model) and then calculates the local losses:" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy (without tuning): 0.04165\n" ] } ], "source": [ "print(f\"Accuracy (without tuning): {accuracy(sm, X_validation, y_validation):.5f}\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Hyperparameter optimisation\n", "\n", "This \"accuracy\" value can be used to automatically tune the hyperparameters.\n", "Slisemap comes with three built-in methods for tuning the hyperparameters:\n", "\n", "- `slisemap.tuning.hyperparameter_tune`: Full \"Bayesian\" hyperparameter optimisation. Can be quite slow since the `Slisemap.optimise` is restarted multiple times.\n", "- `slisemap.tuning.optimise_with_test`: Works like the `Slisemap.optimise` function, but inserts a local search for better hyper-parameters each iteration. Can be quite fast but is vulnerable to local optima and requires starting values.\n", "- `slisemap.tuning.optimise_with_cv`: Works like `optimise_with_test` but uses cross-validation instead of a test set. Could be more stable (and slightly slower) than the previous option, but still requires starting values.\n", "\n", "In this notebook we will demonstrate the second option:" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "if USE_CACHE and SM_V2_CACHE_PATH.exists():\n", " sm2 = Slipmap.load(SM_V2_CACHE_PATH, device=\"cpu\")\n", "else:\n", " sm2 = sm.copy()\n", " # Optimise Slisemap with hyperparameter tuning\n", " sm2 = optimise_with_test(sm2, X_test, y_test)\n", " # Cache the results\n", " sm2.save(SM_V2_CACHE_PATH)" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tuned hyperparameters: lasso = 0.00562, ridge = 0.00082\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Accuracy (without tuning): 0.03678\n" ] } ], "source": [ "print(f\"Tuned hyperparameters: lasso = {sm2.lasso:.5f}, ridge = {sm2.ridge:.5f}\")\n", "print(f\"Accuracy (without tuning): {accuracy(sm2, X_validation, y_validation):.5f}\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Comparison\n", "\n", "With the tuned hyperparameters we are able to half the \"accuracy\" metric. However, the losses and accuracy are already quite good before the tuning (for this dataset with 2000 training items):" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy (without tuning), Training: 0.0013598452787846327\n", "Accuracy (without tuning), Testing: 0.0435044951736927\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Accuracy (without tuning), Validation: 0.041654691100120544\n", "\n", "Accuracy (after tuning), Training: 0.012171604670584202\n", "Accuracy (after tuning), Testing: 0.03755825012922287\n", "Accuracy (after tuning), Validation: 0.03677966818213463\n" ] } ], "source": [ "print(\"Accuracy (without tuning), Training: \", accuracy(sm, X_train, y_train))\n", "print(\"Accuracy (without tuning), Testing: \", accuracy(sm, X_test, y_test))\n", "print(\"Accuracy (without tuning), Validation:\", accuracy(sm, X_validation, y_validation))\n", "print()\n", "print(\"Accuracy (after tuning), Training: \", accuracy(sm2, X_train, y_train))\n", "print(\"Accuracy (after tuning), Testing: \", accuracy(sm2, X_test, y_test))\n", "print(\"Accuracy (after tuning), Validation: \", accuracy(sm2, X_validation, y_validation))" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Furthermore, a common use-case for Slisemap is visualisation and exploratory data analysis. Therefore, the choice of hyperparameter is also subjective, the visualisations need to suit the users preferences, not only match the random forest predictions. For example, increasing `lasso` tends to make the local models more sparse, which makes the interpretation easier. The difference in sparsity can be seen when plotting the two solutions:" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sm.plot(title=f\"Without hyperparameter tuning (lasso = {sm.lasso:.5f})\", clusters=5, bars=True)\n", "sm2.plot(title=f\"After hyperparameter tuning (lasso = {sm2.lasso:.5f})\", clusters=5, bars=True)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Thus, the tuned hyperparameters can be seen as a \"baseline\" for manual tweaking (if necessary). As is demonstrated in the previous example notebook, when tweaking hyperparameters it is possible to continue the optimisation from a previous solution (instead of starting from scratch)." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusions\n", "\n", "In this notebook we demonstrate how additional data can be used to improve the results through hyperparameter tuning.\n", "Training on a subset of the data can be motivated by speed (although Slipmap and/or GPU acceleration also helps), but we also don't really need to visualise more point than we have pixels.\n", "\n", "The main targets for the hyperparameter tuning are the regularisation coefficients and embedding radius.\n", "Regularisation is most useful when the number of variables is large or the number of data items small (unlike the dataset used for this example).\n", "\n", "Two of the hyperparameter optimisation procedures that comes with Slisemap are designed for speed through the use of (less exhaustive) local search.\n", "In all cases, the objective for the tuning is to find solutions that best generalises to unseen data, not a Slisemap solution with the best visualisation.\n", "Hence, manual tweaking can still be adventageous (with the automatically tuned values as a starting point)." ] } ], "metadata": { "kernelspec": { "display_name": "slisemap", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" }, "vscode": { "interpreter": { "hash": "b5e39aaec88a6dec52df7ce73050cd78e540dc696daf42f041aa1b54affae441" } } }, "nbformat": 4, "nbformat_minor": 4 }