From 376f2058277d794551f80092f99c0ffa8f55c33f Mon Sep 17 00:00:00 2001 From: Alexander Date: Sat, 29 Sep 2018 22:44:15 +0200 Subject: [PATCH] Added observer pattern to allow callbacks --- bayes_opt/__init__.py | 5 +- bayes_opt/bayesian_optimization.py | 22 +++- bayes_opt/observer.py | 36 +++++++ examples/exploitation vs exploration.ipynb | 114 +++++++++------------ tests/test_helper_functions.py | 1 - tests/test_observer.py | 49 +++++++++ 6 files changed, 155 insertions(+), 72 deletions(-) create mode 100644 bayes_opt/observer.py create mode 100644 tests/test_observer.py diff --git a/bayes_opt/__init__.py b/bayes_opt/__init__.py index 760e4c1fd..c922b46e7 100644 --- a/bayes_opt/__init__.py +++ b/bayes_opt/__init__.py @@ -1,4 +1,5 @@ -from .bayesian_optimization import BayesianOptimization +from .bayesian_optimization import BayesianOptimization, Events from .helpers import UtilityFunction +from .observer import Observer -__all__ = ["BayesianOptimization", "UtilityFunction"] +__all__ = ["BayesianOptimization", "UtilityFunction", "Events", "Observer"] diff --git a/bayes_opt/bayesian_optimization.py b/bayes_opt/bayesian_optimization.py index 61cf0570c..7f7c19412 100644 --- a/bayes_opt/bayesian_optimization.py +++ b/bayes_opt/bayesian_optimization.py @@ -7,9 +7,10 @@ from sklearn.gaussian_process.kernels import Matern from .helpers import (UtilityFunction, PrintLog, acq_max, ensure_rng) from .target_space import TargetSpace +from .observer import Observable -class BayesianOptimization(object): +class BayesianOptimization(Observable): def __init__(self, f, pbounds, random_state=None, verbose=1): """ @@ -71,6 +72,10 @@ def __init__(self, f, pbounds, random_state=None, verbose=1): # Verbose self.verbose = verbose + # Event initialization + events = [Events.INIT_DONE, Events.FIT_STEP_DONE, Events.FIT_DONE] + super(BayesianOptimization, self).__init__(events) + def init(self, init_points): """ Initialization method to kick start the optimization process. It is a @@ -100,6 +105,9 @@ def init(self, init_points): # Updates the flag self.initialized = True + # Notify about finished init method + self.dispatch(Events.INIT_DONE) + def _observe_point(self, x): y = self.space.observe_point(x) if self.verbose: @@ -303,10 +311,16 @@ def maximize(self, # Keep track of total number of iterations self.i += 1 + # Notify about finished iteration + self.dispatch(Events.FIT_STEP_DONE) + # Print a final report if verbose active. if self.verbose: self.plog.print_summary() + # Notify about finished optimization + self.dispatch(Events.FIT_DONE) + def points_to_csv(self, file_name): """ After training all points for which we know target variable @@ -353,3 +367,9 @@ def bounds(self): def dim(self): warnings.warn("use self.space.dim instead", DeprecationWarning) return self.space.dim + + +class Events(object): + INIT_DONE = 'initialized' + FIT_STEP_DONE = 'fit_step_done' + FIT_DONE = 'fit_done' \ No newline at end of file diff --git a/bayes_opt/observer.py b/bayes_opt/observer.py new file mode 100644 index 000000000..349cbfc86 --- /dev/null +++ b/bayes_opt/observer.py @@ -0,0 +1,36 @@ +# Inspired/Taken from https://www.protechtraining.com/blog/post/879#simple-observer + + +class Observer: + def update(self, event, instance): + # Avoid circular import + from .bayesian_optimization import Events + if event is Events.INIT_DONE: + print("Initialization completed") + elif event is Events.FIT_STEP_DONE: + print("Optimization step finished, current max: ", instance.res['max']) + elif event is Events.FIT_DONE: + print("Optimization finished, maximum value at: ", instance.res['max']) + + +class Observable(object): + def __init__(self, events): + # maps event names to subscribers + # str -> dict + self.events = {event: dict() + for event in events} + + def get_subscribers(self, event): + return self.events[event] + + def register(self, event, who, callback=None): + if callback == None: + callback = getattr(who, 'update') + self.get_subscribers(event)[who] = callback + + def unregister(self, event, who): + del self.get_subscribers(event)[who] + + def dispatch(self, event): + for subscriber, callback in self.get_subscribers(event).items(): + callback(event, self) \ No newline at end of file diff --git a/examples/exploitation vs exploration.ipynb b/examples/exploitation vs exploration.ipynb index bbdc393c4..d93641307 100644 --- a/examples/exploitation vs exploration.ipynb +++ b/examples/exploitation vs exploration.ipynb @@ -9,10 +9,8 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, + "execution_count": 5, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -20,7 +18,7 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", - "from bayes_opt import BayesianOptimization\n", + "from bayes_opt import BayesianOptimization, Observer, Events\n", "\n", "# use sklearn's default parameters for theta and random_start\n", "gp_params = {\"alpha\": 1e-5, \"n_restarts_optimizer\": 2}" @@ -35,19 +33,19 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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WrWM/nIgUgC+/9JLP0KHeyjmXqNRTCy+8AHvuqaQvIrW3xRY+yqdPn3SUfAou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\nrj2FAAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -64,15 +62,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Utility function for plotting" + "## Utility function for plotting" ] }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "def plot_bo(f, bo):\n", @@ -109,35 +105,44 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, + "execution_count": 10, + "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/Users/fmfnogueira/venvs3/general/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", - " if self._edgecolors == str('face'):\n" + "Initialization completed\n" ] }, { - "data": { - "image/png": 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VKXPZbJbW1hCtrWl8vvyUAK/uxkVXc/aEi3DarNLfhx6y1gs1jJSWsxkgU6Y4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\n6aGxsQe7vQav11/ocDbbHR/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RZeutVYUhQ9NAJKz5+JbdGmha7X0zMEAzEKUcXXed1alw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OmposKD1Zrc6uqqVZCbCwdlxhFPYmqM6z4+n3EHXcRxrXvpHU5Cqaofh0MSViFE8+J0OjGZAkSj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\nvfj9tbRqldXoMY0WiwWHY2dT0j079VR46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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "TypeError", + "evalue": "'BayesianOptimization' object is not subscriptable", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0mbo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregister\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFIT_STEP_DONE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobserver\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mbo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmaximize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minit_points\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_iter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0macq\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"ucb\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkappa\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mgp_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 13\u001b[0m \u001b[0mbo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmaximize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minit_points\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_iter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m25\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0macq\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"ucb\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkappa\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mgp_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/BayesianOptimization/bayes_opt/bayesian_optimization.py\u001b[0m in \u001b[0;36mmaximize\u001b[0;34m(self, init_points, n_iter, acq, kappa, xi, **gp_params)\u001b[0m\n\u001b[1;32m 313\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 314\u001b[0m \u001b[0;31m# Notify about finished iteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 315\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFIT_STEP_DONE\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 316\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;31m# Print a final report if verbose active.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/BayesianOptimization/bayes_opt/observer.py\u001b[0m in \u001b[0;36mdispatch\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 34\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mevent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 35\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msubscriber\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_subscribers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 36\u001b[0;31m \u001b[0mcallback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/BayesianOptimization/bayes_opt/observer.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, event, instance)\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Initialization completed\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mevent\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFIT_STEP_DONE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Optimization step finished, current max: \"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'max'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 12\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mevent\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFIT_DONE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Optimization finished, maximum value at: \"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'max'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: 'BayesianOptimization' object is not subscriptable" + ] } ], "source": [ + "\n", + "observer = Observer()\n", + "\n", "bo = BayesianOptimization(f=lambda x: f[int(x)],\n", " pbounds={\"x\": (0, len(f)-1)},\n", " verbose=0)\n", "\n", + "bo.register(Events.INIT_DONE, observer)\n", + "bo.register(Events.FIT_DONE, observer)\n", + "bo.register(Events.FIT_STEP_DONE, observer)\n", + "\n", + "bo.maximize(init_points=2, n_iter=3, acq=\"ucb\", kappa=1, **gp_params)\n", "bo.maximize(init_points=2, n_iter=25, acq=\"ucb\", kappa=1, **gp_params)\n", "\n", "plot_bo(f, bo)" @@ -154,30 +159,9 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/fmfnogueira/venvs3/general/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", - " if self._edgecolors == str('face'):\n" - ] - }, - { - "data": { - "image/png": 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apdqCRURERDagwCoiWWWaJvdP/wDDcnLO4D7YbDvX21JxsZfB7U9i+rJnqatTYBURERH5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\nKZ3I0wtSe1BnsVgwTQ/l5TXNCVWITkcSVrFbgUAIVa1fXZ3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LRYVCSUk5NTV1JJMdd3tC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\n2eL2uedxz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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "bo = BayesianOptimization(f=lambda x: f[int(x)],\n", " pbounds={\"x\": (0, len(f)-1)},\n", @@ -208,7 +192,6 @@ "cell_type": "code", "execution_count": 22, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ @@ -254,7 +237,6 @@ "cell_type": "code", "execution_count": 23, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ @@ -304,9 +286,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -349,9 +329,7 @@ { "cell_type": "code", "execution_count": 25, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -392,9 +370,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "BayesianOptimization", "language": "python", - "name": "python3" + "name": "bayesian_optimization" }, "language_info": { "codemirror_mode": { @@ -406,9 +384,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.5" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/tests/test_helper_functions.py b/tests/test_helper_functions.py index cf7fe4faf..1374e0434 100644 --- a/tests/test_helper_functions.py +++ b/tests/test_helper_functions.py @@ -6,7 +6,6 @@ from sklearn.gaussian_process.kernels import Matern from bayes_opt.helpers import UtilityFunction, acq_max, ensure_rng - def get_globals(): X = np.array([ [0.00, 0.00], diff --git a/tests/test_observer.py b/tests/test_observer.py new file mode 100644 index 000000000..126571d31 --- /dev/null +++ b/tests/test_observer.py @@ -0,0 +1,49 @@ +import unittest +from bayes_opt.observer import Observable + + +class TestObserver(): + def __init__(self): + self.counter = 0 + + def update(self, event, instance): + self.counter += 1 + +class TestObserverPattern(unittest.TestCase): + def setUp(self): + events = ['a', 'b'] + self.observable = Observable(events) + self.observer = TestObserver() + + def test_get_subscribers(self): + self.observable.register('a', self.observer) + self.assertTrue(self.observer in self.observable.get_subscribers('a')) + self.assertTrue(len(self.observable.get_subscribers('a').keys()) == 1) + self.assertTrue(len(self.observable.get_subscribers('b').keys()) == 0) + + def test_register(self): + self.observable.register('a', self.observer) + self.assertTrue(self.observer in self.observable.get_subscribers('a')) + + def test_unregister(self): + self.observable.register('a', self.observer) + self.observable.unregister('a', self.observer) + self.assertTrue(self.observer not in self.observable.get_subscribers('a')) + + def test_dispatch(self): + test_observer = TestObserver() + self.observable.register('b', test_observer) + self.observable.dispatch('b') + self.observable.dispatch('b') + + self.assertTrue(test_observer.counter == 2) + + +if __name__ == '__main__': + r""" + CommandLine: + python tests/test_observer.py + """ + # unittest.main() + import pytest + pytest.main([__file__])