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Merge pull request #155 from LSSTDESC/tqz/pzflow_inform_estimate_note…
…book Add a pzflow inform estimate demo to the examples
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,179 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "327d391f-58bc-4b6a-9bbe-3987b969c8f4", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "PZFlow Informer and Estimator Demo\n", | ||
| "\n", | ||
| "Author: Tianqing Zhang\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "916a05ad", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "%matplotlib inline\n", | ||
| "import os\n", | ||
| "import matplotlib.pyplot as plt\n", | ||
| "import numpy as np\n", | ||
| "import pandas as pd\n", | ||
| "\n", | ||
| "import rail\n", | ||
| "from rail.core.data import TableHandle\n", | ||
| "from rail.core.stage import RailStage\n", | ||
| "import qp\n", | ||
| "import tables_io\n", | ||
| "\n", | ||
| "from rail.estimation.algos.pzflow_nf import PZFlowInformer, PZFlowEstimator\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "d8ef87d3", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "DS = RailStage.data_store\n", | ||
| "DS.__class__.allow_overwrite = True" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "f79c3a7b", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from rail.utils.path_utils import find_rail_file\n", | ||
| "trainFile = find_rail_file('examples_data/testdata/test_dc2_training_9816.hdf5')\n", | ||
| "testFile = find_rail_file('examples_data/testdata/test_dc2_validation_9816.hdf5')\n", | ||
| "training_data = DS.read_file(\"training_data\", TableHandle, trainFile)\n", | ||
| "test_data = DS.read_file(\"test_data\", TableHandle, testFile)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "756d78a3", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "pzflow_dict = dict(hdf5_groupname='photometry',output_mode = 'not_fiducial' )\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "0857e6bb-18eb-4f89-bc4b-29bed1ffa122", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "1042a9f3", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "\n", | ||
| "# epoch = 200 gives a reasonable converged loss\n", | ||
| "pzflow_train = PZFlowInformer.make_stage(name='inform_pzflow',model='demo_pzflow.pkl',num_training_epochs = 30, **pzflow_dict)\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "c407f45b", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# training of the pzflow\n", | ||
| "pzflow_train.inform(training_data)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "156b6e3d", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "pzflow_dict = dict(hdf5_groupname='photometry')\n", | ||
| "\n", | ||
| "pzflow_estimator = PZFlowEstimator.make_stage(name='estimate_pzflow',model='demo_pzflow.pkl',**pzflow_dict, chunk_size = 20000)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "00911d60", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# estimate using the test data\n", | ||
| "estimate_results = pzflow_estimator.estimate(test_data)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "4cbdece3", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "mode = estimate_results.read(force=True).ancil['zmode']\n", | ||
| "truth = np.array(test_data.data['photometry']['redshift'])" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "ba076bab-c5ab-4292-8de9-415e7b30af5c", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# visualize the prediction. \n", | ||
| "plt.figure(figsize = (8,8))\n", | ||
| "plt.scatter(truth, mode, s = 0.5)\n", | ||
| "plt.xlabel('True Redshift')\n", | ||
| "plt.ylabel('Mode of Estimated Redshift')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "ed5bf266-3b5c-4d9b-8428-77a2833cafef", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.10.0" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |