{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Quick Start" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This tutorial provides a quick start to the calzone package, including a discussion of the installation and the basic command line interface useage." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Installation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Calzone dependencies are numpy, scipy, statsmodels and matplotlib. If you are experienced developer, you probably already have numpy, scipy and matplolib installed. If you don't have a package install, you can install them with conda" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "shellscript" } }, "outputs": [], "source": [ "conda install numpy\n", "conda install scipy\n", "conda install matplotlib\n", "conda install statsmodels" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alternatively, you can install the dependencies with pip" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "shellscript" } }, "outputs": [], "source": [ "pip install numpy\n", "pip install scipy\n", "pip install matplotlib \n", "pip install statsmodels" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then, you can install the calzone package from github if you only want to use the calculator inside you python script:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "shellscript" } }, "outputs": [], "source": [ "pip install -e \"git+https://github.com/DIDSR/calzone.git\"" ] }, { "cell_type": "markdown", "metadata": { "vscode": { "languageId": "shellscript" } }, "source": [ "If you want to run the command line interface or GUI interface, you need to clone the github repository. Notice that the GUI interface require install nicegui using `pip install nicegui`." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "shellscript" } }, "outputs": [], "source": [ "git clone https://github.com/DIDSR/calzone.git\n", "cd calzone\n", "# install calzone\n", "pip install -e ." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Command line interface " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, you need to prepare your dataset in a specific format. The dataset should be a CSV file with the following columns:\n", "\n", "\n", "proba_0, proba_1, ..., proba_n, label\n", "\n", "\n", "where n >= 1. The proba_i columns are the probabilities of the i-th class, and the label column is the true class label.\n", "\n", "Or if you have subgroups, the dataset should be a CSV file with the following columns:\n", "\n", "\n", "proba_0, proba_1, ..., proba_n, subgroup_1, subgroup_2, ..., subgroup_m, label\n", "\n", "\n", "where n >= 1 and m >= 1. The subgroup_j columns are the values of the j-th subgroup type, and its values should be categorical.\n", "\n", "\n", "In the case of multi-class, you need to specify the class-of-interest, and the problem will be treated as 1-vs-all binary classification. To test the full calibration of the whole model, you need to test the calibration of each class.\n", "\n", "The program also works if your csv file has no header.It will assume the first [:-1] columns are the probabilities and the last column is the label.\n", "\n", "We provides examples dataset in csv format in the e examples folder and it illustrate the input format of dataset.\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "### For illuration purpose , I will use the functions in the helper.py in the local directory\n", "### The data is generated using beta-binomial distribution\n", "\n", "\n", "from helper import * #import local helper functions for example data generation\n", "\n", "generate_wellcal_data(5000,\"../../../example_data/simulated_welldata.csv\",alpha_val=0.5, beta_val=0.5,random_seed=123)\n", "generate_miscal_data(5000,\"../../../example_data/simulated_misdata.csv\", miscal_scale=2,alpha_val=0.5, beta_val=0.5,random_seed=123)\n", "generate_subgroup_data(5000,\"../../../example_data/simulated_data_subgroup.csv\",miscal_scale=2,alpha_val=0.5, beta_val=0.5,random_seed=123)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Without subgroups\n", "['proba_0,proba_1,label'\n", " '1.444156178040510996e-01,8.555843821959489004e-01,0.000000000000000000e+00'\n", " '8.552048445812980848e-01,1.447951554187018874e-01,0.000000000000000000e+00'\n", " '2.569696048872897043e-01,7.430303951127102957e-01,0.000000000000000000e+00'\n", " '3.993130565553012490e-01,6.006869434446987510e-01,1.000000000000000000e+00']\n", "With subgroups\n", "['proba_0,proba_1,subgroup_1,label'\n", " '0.1444156178040511,0.8555843821959489,A,0'\n", " '0.8552048445812981,0.1447951554187019,A,0'\n", " '0.2569696048872897,0.7430303951127103,A,0'\n", " '0.39931305655530125,0.6006869434446988,A,1']\n" ] } ], "source": [ "### Snippet of the csv file format\n", "#Without subgroups\n", "import numpy as np\n", "print(\"Without subgroups\")\n", "print(np.loadtxt('../../../example_data/simulated_welldata.csv',dtype=str)[:5]) #first 5 lines of the without subgroups csv files\n", "#With subgroups\n", "print(\"With subgroups\")\n", "print(np.loadtxt('../../../example_data/simulated_data_subgroup.csv',dtype=str)[:5]) #first 5 lines of the with subgroups csv files" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To use the command line interface (CLI), you can use the script in the calzone directory. The program will save the metrics into the output csv file with the CI (if you turn on boostrap). The program will also save the relibaility diagram if you apply --plot flag. There is an optional flag --prevalence_adjustment which tries to derive the original model prevalence and apply prevalence adjustment. See more on prevalence adjustment in the prevalecne adjustment notebook." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "usage: cal_metrics.py [-h] [--csv_file CSV_FILE] [--metrics METRICS]\n", " [--prevalence_adjustment] [--n_bootstrap N_BOOTSTRAP]\n", " [--bootstrap_ci BOOTSTRAP_CI]\n", " [--class_to_calculate CLASS_TO_CALCULATE]\n", " [--num_bins NUM_BINS]\n", " [--hl_test_validation HL_TEST_VALIDATION] [--topclass]\n", " [--save_metrics SAVE_METRICS] [--plot]\n", " [--plot_bins PLOT_BINS] [--save_plot SAVE_PLOT]\n", " [--save_diagram_output SAVE_DIAGRAM_OUTPUT] [--verbose]\n", "\n", "Calculate calibration metrics and visualize reliability diagram.\n", "\n", "options:\n", " -h, --help show this help message and exit\n", " --csv_file CSV_FILE Path to the input CSV file. (If there is header,it\n", " must be in: proba_0,proba_1,...,subgroup_1(optional),s\n", " ubgroup_2(optional),...label. If no header, then the\n", " columns must be in the order of\n", " proba_0,proba_1,...,label)\n", " --metrics METRICS Comma-separated list of specific metrics to calculate \n", " (SpiegelhalterZ,ECE-H,MCE-H,HL-H,ECE-C,MCE-C,HL-\n", " C,COX,Loess,all). Default: all\n", " --prevalence_adjustment\n", " Perform prevalence adjustment (default: False)\n", " --n_bootstrap N_BOOTSTRAP\n", " Number of bootstrap samples (default: 0)\n", " --bootstrap_ci BOOTSTRAP_CI\n", " Bootstrap confidence interval (default: 0.95)\n", " --class_to_calculate CLASS_TO_CALCULATE\n", " Class to calculate metrics for (default: 1)\n", " --num_bins NUM_BINS Number of bins for ECE/MCE/HL calculations (default:\n", " 10)\n", " --hl_test_validation HL_TEST_VALIDATION\n", " Using nbin instead of nbin-2 as HL test DOF. Use it if\n", " the dataset is validation set.\n", " --topclass Whether to transform the problem to top-class problem.\n", " --save_metrics SAVE_METRICS\n", " Save the metrics to a csv file\n", " --plot Plot reliability diagram (default: False)\n", " --plot_bins PLOT_BINS\n", " Number of bins for reliability diagram\n", " --save_plot SAVE_PLOT\n", " Save the plot to a file. Must end with valid image\n", " formats.\n", " --save_diagram_output SAVE_DIAGRAM_OUTPUT\n", " Save the reliability diagram output to a file\n", " --verbose Print verbose output\n" ] } ], "source": [ "# Use -h to see the help message and options\n", "%run ../../../cal_metrics.py -h" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Metrics with bootstrap confidence intervals:\n", "SpiegelhalterZ score: 0.376 (-1.581, 2.396)\n", "SpiegelhalterZ p-value: 0.707 (0.017, 0.971)\n", "ECE-H topclass: 0.01 (0.006, 0.021)\n", "ECE-H: 0.012 (0.011, 0.025)\n", "MCE-H topclass: 0.039 (0.016, 0.076)\n", "MCE-H: 0.048 (0.034, 0.107)\n", "HL-H score: 8.885 (7.392, 34.058)\n", "HL-H p-value: 0.352 (0.000, 0.495)\n", "ECE-C topclass: 0.009 (0.007, 0.021)\n", "ECE-C: 0.009 (0.008, 0.022)\n", "MCE-C topclass: 0.021 (0.018, 0.072)\n", "MCE-C: 0.023 (0.020, 0.071)\n", "HL-C score: 3.695 (4.778, 28.666)\n", "HL-C p-value: 0.884 (0.000, 0.781)\n", "COX coef: 0.994 (0.940, 1.054)\n", "COX intercept: -0.045 (-0.126, 0.031)\n", "COX coef lowerci: 0.937 (0.886, 0.994)\n", "COX coef upperci: 1.051 (0.994, 1.114)\n", "COX intercept lowerci: -0.123 (-0.205, -0.049)\n", "COX intercept upperci: 0.034 (-0.048, 0.109)\n", "COX ICI: 0.006 (0.001, 0.016)\n", "Loess ICI: 0.006 (0.004, 0.016)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%run ../../../cal_metrics.py \\\n", "--csv_file '../../../example_data/simulated_welldata.csv' \\\n", "--metrics all \\\n", "--n_bootstrap 1000 \\\n", "--bootstrap_ci 0.95 \\\n", "--class_to_calculate 1 \\\n", "--num_bins 10 \\\n", "--save_metrics '../../../example_data/simulated_welldata_result.csv' \\\n", "--plot \\\n", "--plot_bins 10 \\\n", "--save_plot '../../../example_data/simulated_welldata_result.png' \\\n", "--verbose \\\n", "--save_diagram_output '../../../example_data/simulated_welldata_diagram_output.csv' \n", "### save_diagram_output only when you want to save the reliability diagram output\n", "#--prevalence_adjustment # only when you want to apply prevalence adjustment\n", "#--hl_test_validation #use it only when the data is from validation set" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use the CLI to compute the metrics and reliability diagram for the example dataset. The metrics and its 95% confidence interval will be printed and saved in a file. The reliability diagram will be saved in a separate file.\n", "\n", "We can also test it on a miscalibrated dataset. The miscalibration is introduced by mutliply the log of probabilities by 2 and convert it back to probabilities. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Metrics with bootstrap confidence intervals:\n", "SpiegelhalterZ score: 29.626 (26.37, 33.185)\n", "SpiegelhalterZ p-value: 0. (0., 0.)\n", "ECE-H topclass: 0.081 (0.073, 0.091)\n", "ECE-H: 0.081 (0.073, 0.092)\n", "MCE-H topclass: 0.151 (0.127, 0.202)\n", "MCE-H: 0.168 (0.145, 0.244)\n", "HL-H score: 1027.940 (818.524, 1292.977)\n", "HL-H p-value: 0. (0., 0.)\n", "ECE-C topclass: 0.079 (0.069, 0.09)\n", "ECE-C: 0.08 (0.07, 0.091)\n", "MCE-C topclass: 0.168 (0.141, 0.204)\n", "MCE-C: 0.158 (0.139, 0.203)\n", "HL-C score: 1857.584 (1355.637, 3341.319)\n", "HL-C p-value: 0. (0., 0.)\n", "COX coef: 0.497 (0.470, 0.524)\n", "COX intercept: -0.045 (-0.125, 0.038)\n", "COX coef lowerci: 0.469 (0.443, 0.494)\n", "COX coef upperci: 0.526 (0.497, 0.554)\n", "COX intercept lowerci: -0.123 (-0.203, -0.041)\n", "COX intercept upperci: 0.034 (-0.046, 0.116)\n", "COX ICI: 0.078 (0.071, 0.085)\n", "Loess ICI: 0.074 (0.065, 0.083)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%run ../../../cal_metrics.py \\\n", "--csv_file '../../../example_data/simulated_misdata.csv' \\\n", "--metrics all \\\n", "--n_bootstrap 1000 \\\n", "--bootstrap_ci 0.95 \\\n", "--class_to_calculate 1 \\\n", "--num_bins 10 \\\n", "--save_metrics '../../../example_data/simulated_misdata_result.csv' \\\n", "--plot \\\n", "--plot_bins 10 \\\n", "--save_plot '../../../example_data/simulated_misdata_result.png' \\\n", "--verbose" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If your data has subgroups in it, simply run the script with the same argument as the one above. It will automatically detect the subgroup and generate the corresponding plots and metrics for each subgroup as well as the overall plot and metrics." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Metrics with bootstrap confidence intervals:\n", "SpiegelhalterZ score: 18.327 (15.794, 21.009)\n", "SpiegelhalterZ p-value: 0. (0., 0.)\n", "ECE-H topclass: 0.042 (0.035, 0.049)\n", "ECE-H: 0.042 (0.036, 0.049)\n", "MCE-H topclass: 0.055 (0.043, 0.087)\n", "MCE-H: 0.063 (0.055, 0.109)\n", "HL-H score: 429.732 (335.116, 584.729)\n", "HL-H p-value: 0. (0., 0.)\n", "ECE-C topclass: 0.042 (0.035, 0.049)\n", "ECE-C: 0.038 (0.032, 0.046)\n", "MCE-C topclass: 0.065 (0.055, 0.091)\n", "MCE-C: 0.064 (0.052, 0.086)\n", "HL-C score: 1138.842 (779.577, 1844.15)\n", "HL-C p-value: 0. (0., 0.)\n", "COX coef: 0.668 (0.638, 0.698)\n", "COX intercept: -0.02 (-0.073, 0.03)\n", "COX coef lowerci: 0.641 (0.611, 0.67)\n", "COX coef upperci: 0.696 (0.664, 0.727)\n", "COX intercept lowerci: -0.074 (-0.127, -0.025)\n", "COX intercept upperci: 0.034 (-0.019, 0.084)\n", "COX ICI: 0.049 (0.044, 0.055)\n", "Loess ICI: 0.037 (0.032, 0.043)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Metrics for subgroup_1_group_A with bootstrap confidence intervals:\n", "SpiegelhalterZ score: 0.376 (-1.536, 2.249)\n", "SpiegelhalterZ p-value: 0.707 (0.018, 0.981)\n", "ECE-H topclass: 0.01 (0.006, 0.021)\n", "ECE-H: 0.012 (0.011, 0.025)\n", "MCE-H topclass: 0.039 (0.017, 0.077)\n", "MCE-H: 0.048 (0.034, 0.107)\n", "HL-H score: 8.885 (7.273, 34.6)\n", "HL-H p-value: 0.352 (0.000, 0.507)\n", "ECE-C topclass: 0.009 (0.007, 0.022)\n", "ECE-C: 0.009 (0.007, 0.023)\n", "MCE-C topclass: 0.021 (0.018, 0.072)\n", "MCE-C: 0.023 (0.018, 0.075)\n", "HL-C score: 3.695 (4.463, 29.686)\n", "HL-C p-value: 0.884 (0.000, 0.813)\n", "COX coef: 0.994 (0.942, 1.050)\n", "COX intercept: -0.045 (-0.135, 0.028)\n", "COX coef lowerci: 0.937 (0.888, 0.990)\n", "COX coef upperci: 1.051 (0.996, 1.111)\n", "COX intercept lowerci: -0.123 (-0.214, -0.051)\n", "COX intercept upperci: 0.034 (-0.056, 0.107)\n", "COX ICI: 0.006 (0.001, 0.017)\n", "Loess ICI: 0.006 (0.003, 0.016)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Metrics for subgroup_1_group_B with bootstrap confidence intervals:\n", "SpiegelhalterZ score: 27.936 (24.631, 31.175)\n", "SpiegelhalterZ p-value: 0. (0., 0.)\n", "ECE-H topclass: 0.077 (0.068, 0.086)\n", "ECE-H: 0.077 (0.069, 0.087)\n", "MCE-H topclass: 0.133 (0.108, 0.175)\n", "MCE-H: 0.163 (0.13, 0.232)\n", "HL-H score: 910.439 (716.681, 1156.971)\n", "HL-H p-value: 0. (0., 0.)\n", "ECE-C topclass: 0.074 (0.066, 0.084)\n", "ECE-C: 0.075 (0.065, 0.085)\n", "MCE-C topclass: 0.141 (0.124, 0.182)\n", "MCE-C: 0.140 (0.115, 0.182)\n", "HL-C score: 2246.171 (1393.175, 3900.391)\n", "HL-C p-value: 0. (0., 0.)\n", "COX coef: 0.507 (0.481, 0.539)\n", "COX intercept: 0.000 (-0.073, 0.077)\n", "COX coef lowerci: 0.478 (0.454, 0.508)\n", "COX coef upperci: 0.536 (0.508, 0.569)\n", "COX intercept lowerci: -0.078 (-0.152, -0.002)\n", "COX intercept upperci: 0.079 (0.005, 0.155)\n", "COX ICI: 0.077 (0.07, 0.085)\n", "Loess ICI: 0.07 (0.062, 0.078)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%run ../../../cal_metrics.py \\\n", "--csv_file '../../../example_data/simulated_data_subgroup.csv' \\\n", "--metrics all \\\n", "--n_bootstrap 1000 \\\n", "--bootstrap_ci 0.95 \\\n", "--class_to_calculate 1 \\\n", "--num_bins 10 \\\n", "--save_metrics '../../../example_data/simulated_data_subgroup_result.csv' \\\n", "--plot \\\n", "--plot_bins 10 \\\n", "--save_plot '../../../example_data/simulated_data_subgroup_result.png' \\\n", "--verbose" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using calzone in python\n", "\n", "Instead of running the command line tool, you can also use calzone in python directly" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'SpiegelhalterZ score': 0.3763269161877356,\n", " 'SpiegelhalterZ p-value': 0.7066738713391099,\n", " 'ECE-H topclass': 0.009608653731328977,\n", " 'ECE-H': 0.01208775955804901,\n", " 'MCE-H topclass': 0.03926468843081976,\n", " 'MCE-H': 0.04848338618970194,\n", " 'HL-H score': 8.884991559088098,\n", " 'HL-H p-value': 0.35209071874348785,\n", " 'ECE-C topclass': 0.009458033653818828,\n", " 'ECE-C': 0.008733966945443138,\n", " 'MCE-C topclass': 0.020515047600205505,\n", " 'MCE-C': 0.02324031223486256,\n", " 'HL-C score': 3.694947603203135,\n", " 'HL-C p-value': 0.8835446575708198,\n", " 'COX coef': 0.9942499557748269,\n", " 'COX intercept': -0.04497652296600376,\n", " 'COX coef lowerci': 0.9372902801721911,\n", " 'COX coef upperci': 1.0512096313774626,\n", " 'COX intercept lowerci': -0.12348577118577644,\n", " 'COX intercept upperci': 0.03353272525376893,\n", " 'COX ICI': 0.005610391483826338,\n", " 'Loess ICI': 0.00558856942568957}" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from calzone.metrics import CalibrationMetrics\n", "from calzone.utils import data_loader\n", "\n", "loader = data_loader('../../../example_data/simulated_welldata.csv')\n", "cal_metrics = CalibrationMetrics(class_to_calculate=1)\n", "cal_metrics.calculate_metrics(loader.labels, loader.probs, metrics='all')" ] } ], "metadata": { "kernelspec": { "display_name": "uq", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.0" } }, "nbformat": 4, "nbformat_minor": 2 }