{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Particle filtering\n", "\n", "In this tutorial we explain how to use `ProbNum` for particle filtering.\n", "We assume that you have read the tutorial on non-linear filtering." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from probnum import filtsmooth, randvars, diffeq, randprocs, problems\n", "from probnum.problems import TimeSeriesRegressionProblem\n", "from scipy import stats" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "rng = np.random.default_rng(seed=123)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_19021/4149861519.py:5: DeprecationWarning: `set_matplotlib_formats` is deprecated since IPython 7.23, directly use `matplotlib_inline.backend_inline.set_matplotlib_formats()`\n", " set_matplotlib_formats(\"pdf\", \"svg\")\n" ] } ], "source": [ "# Make inline plots vector graphics instead of raster graphics\n", "%matplotlib inline\n", "from IPython.display import set_matplotlib_formats\n", "\n", "set_matplotlib_formats(\"pdf\", \"svg\")\n", "\n", "# Plotting\n", "import matplotlib.pyplot as plt\n", "\n", "plt.style.use(\"../../probnum.mplstyle\")\n", "\n", "# Consistent plotting styles for particles and for \"true\" latent states\n", "particle_style = {\n", " \"color\": \"C1\",\n", " \"marker\": \"o\",\n", " \"markersize\": 5,\n", " \"linestyle\": \"None\",\n", " \"alpha\": 0.5,\n", "}\n", "latent_state_style = {\"color\": \"C0\", \"linewidth\": 5, \"linestyle\": \"-\", \"alpha\": 0.5}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pendulum\n", "\n", "We begin with setting up the pendulum problem, which is a standard non-linear test problem. The code below is taken from the non-linear filtering notebook.\n", "\n", "We begin by assembling a `NonlinearGaussian` as a model of the prior dynamics." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "state_dim = 2\n", "observation_dim = 1\n", "\n", "# approx. gravitational constant\n", "g = 9.81\n", "delta_t = 0.05\n", "\n", "\n", "def pendulum_rhs(state):\n", " \"\"\"Right-hand side of an ODE that defines pendulum dynamics\"\"\"\n", " x1, x2 = state\n", " y1 = x1 + x2 * delta_t\n", " y2 = x2 - g * np.sin(x1) * delta_t\n", " return np.array([y1, y2])\n", "\n", "\n", "def pendulum_jacobian(state):\n", " \"\"\"Jacobian of the pendulum ODE\"\"\"\n", " x1, x2 = state\n", " dy1_dx = [1.0, delta_t]\n", " dy2_dx = [-g * np.cos(x1) * delta_t, 1.0]\n", " return np.array([dy1_dx, dy2_dx])\n", "\n", "\n", "dynamics_transition_function = lambda t, state: pendulum_rhs(state)\n", "dynamics_transition_jacobian_function = lambda t, state: pendulum_jacobian(state)\n", "\n", "dynamics_diffusion_matrix = 1.0 * (\n", " np.diag(np.array([delta_t ** 3 / 3, delta_t]))\n", " + np.diag(np.array([delta_t ** 2 / 2]), 1)\n", " + np.diag(np.array([delta_t ** 2 / 2]), -1)\n", ")\n", "\n", "# Create discrete, non-linear Gaussian dynamics model\n", "dynamics_model = randprocs.markov.discrete.NonlinearGaussian(\n", " input_dim=state_dim,\n", " output_dim=state_dim,\n", " transition_fun=dynamics_transition_function,\n", " noise_fun=lambda t: randvars.Normal(mean=np.zeros(state_dim), cov=dynamics_diffusion_matrix),\n", " transition_fun_jacobian=dynamics_transition_jacobian_function,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we set up the measurement model as another discrete, non-linear Gaussian transformation." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def pendulum_measurement(state):\n", " x1, x2 = state\n", " return np.array([np.sin(x1)])\n", "\n", "\n", "def pendulum_measurement_jacobian(state):\n", " x1, x2 = state\n", " return np.array([[np.cos(x1), 0.0]])\n", "\n", "\n", "measurement_function = lambda t, state: pendulum_measurement(state)\n", "measurement_jacobian_function = lambda t, state: pendulum_measurement_jacobian(state)\n", "\n", "measurement_variance = 0.12 ** 2\n", "measurement_covariance = measurement_variance * np.eye(observation_dim)\n", "\n", "# Create discrete, non-linear Gaussian measurement model\n", "measurement_model = randprocs.markov.discrete.NonlinearGaussian(\n", " input_dim=state_dim,\n", " output_dim=observation_dim,\n", " transition_fun=measurement_function,\n", " noise_fun=lambda t: randvars.Normal(np.zeros(1), cov=measurement_covariance),\n", " transition_fun_jacobian=measurement_jacobian_function,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we define the initial distribution: a Gaussian random variable. We also generate some artificial observations." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "mu_0 = np.ones(state_dim)\n", "sigma_0 = measurement_variance * np.eye(state_dim)\n", "initial_state_rv = randvars.Normal(mean=mu_0, cov=sigma_0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we're essentially good to go. With this setup we could do non-linear Gaussian filtering (extended Kalman filtering, unscented Kalman filtering), but here, we avoid the Gaussian approximations and do particle filtering.\n", "\n", "To construct a particle filter, we provide prior, measurement model, and initial RV as well as\n", "\n", "* The number of particles: `num_particles`. The larger the better, but also the larger the slower (it is Monte Carlo approximation, after all).\n", "* A linearized measurement model that is used as an importance density: `linearized_measurement_model`. In ProbNum we implement two types of particle filters: a bootstrap particle filter, that uses the prior as an importance distribution (which always works, but also requires a lot of particles -- this is what is used in `linearized_measurement_model` is left empty), and a particle filter that uses an approximate Gaussian filter as an importance density. In the pendulum example, we do the latter, because the extended Kalman filter has already been proven to be successful." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "num_particles = 20\n", "prior_process = randprocs.markov.MarkovSequence(\n", " transition=dynamics_model, initrv=initial_state_rv, initarg=0.0\n", ")\n", "importance_distribution = filtsmooth.particle.LinearizationImportanceDistribution.from_ekf(\n", " dynamics_model\n", ")\n", "\n", "# Construct the PF\n", "pf = filtsmooth.particle.ParticleFilter(\n", " prior_process,\n", " rng=rng,\n", " importance_distribution=importance_distribution,\n", " num_particles=num_particles,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Generate Data for the State-Space Model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`statespace.generate_artificial_measurements()` is used to sample both latent states and noisy observations from the specified state space model." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "time_grid = np.arange(0.0, 3.5, step=delta_t)\n", "latent_states, observations = randprocs.markov.utils.generate_artificial_measurements(\n", " rng=rng,\n", " prior_process=prior_process,\n", " measmod=measurement_model,\n", " times=time_grid,\n", ")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "regression_problem = TimeSeriesRegressionProblem(\n", " observations=observations,\n", " locations=time_grid,\n", " measurement_models=[measurement_model] * len(time_grid),\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The remainder is the same `.filter()` interface that we know from Gaussian filtering.\n", "After applying this method, we plot the mode of the posterior distribution." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "posterior, _ = pf.filter(regression_problem)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/pdf": "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\n", "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2022-02-15T10:06:30.836221\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.5.1, https://matplotlib.org/\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n" ], "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(\n", " time_grid, np.sin(latent_states[:, 0]), **latent_state_style, label=\"Latent state\"\n", ")\n", "plt.plot(\n", " time_grid,\n", " np.sin(posterior.states.mode[:, 0]),\n", " **particle_style,\n", " label=\"Mode of posterior\"\n", ")\n", "plt.xlabel(\"t\")\n", "plt.ylabel(r\"$x$\")\n", "plt.legend()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It seems that the true latent state is recovered fairly well.\n", "The RMSE of the mode is also much smaller than the RMSE of the data:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mode of PF: \t1.3104582172798598\n", "Observations: \t61.48996491275069\n" ] } ], "source": [ "rmse_mode = np.linalg.norm(\n", " np.sin(posterior.states.mode[:, 0]) - np.sin(latent_states[:, 0])\n", ")\n", "rmse_data = np.linalg.norm(observations - np.sin(latent_states[:, 0]))\n", "print(f\"Mode of PF: \\t{rmse_mode}\\nObservations: \\t{rmse_data}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The strength of a particle filter is not the point estimate, but the posterior distribution. \n", "Let us look at a few more particles. Since we want to exclude the unlikely states from the visualization, we resample the posterior before plotting.\n", "This way, only those states that have sufficient probability to be resampled are shown." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/pdf": "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\n", "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2022-02-15T10:06:31.915938\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.5.1, https://matplotlib.org/\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n" ], "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Remove the unlikely particles by resampling the posterior\n", "resampled_states = posterior.states.resample(rng=rng)\n", "\n", "plt.plot(\n", " time_grid, np.sin(latent_states[:, 0]), **latent_state_style, label=\"Latent state\"\n", ")\n", "plt.plot(\n", " time_grid,\n", " np.sin(resampled_states.support[:, :, 0]),\n", " **particle_style,\n", " label=\"Particles\"\n", ")\n", "plt.xlabel(\"t\")\n", "plt.ylabel(r\"$x$\")\n", "\n", "# Remove duplicate legend entries before showing the legend\n", "handles, labels = plt.gca().get_legend_handles_labels()\n", "by_label = dict(zip(labels, handles))\n", "plt.legend(by_label.values(), by_label.keys())\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It seems that the distribution nicely concentrates around the true state." ] } ], "metadata": { "celltoolbar": "Edit 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": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 4 }