{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# [Virtual Epileptic Patient](https://github.com/Ziaeemehr/vbi_paper/blob/main/docs/examples/vep_sde.ipynb)\n", "\n", "\"Open" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "import tqdm\n", "import torch\n", "import pickle\n", "import numpy as np\n", "import networkx as nx\n", "import sbi.utils as utils\n", "from vbi import report_cfg\n", "import matplotlib.pyplot as plt\n", "from vbi.utils import LoadSample\n", "from sbi.analysis import pairplot\n", "from vbi.models.cpp.vep import VEP\n", "from vbi.inference import Inference\n", "from sklearn.preprocessing import StandardScaler" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "seed = 2\n", "np.random.seed(seed)\n", "torch.manual_seed(seed);" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "os.makedirs(\"output/vep\", exist_ok=True)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "weights = np.loadtxt(\"data/weights1.txt\")\n", "nn = weights.shape[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "healthy zone, propagation zone, epileptic zone eta values" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "hz_val = -3.65\n", "pz_val = -2.4\n", "ez_val = -1.6" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "ez_idx = np.array([6, 34], dtype=np.int32)\n", "pz_wplng_idx = np.array([5, 11], dtype=np.int32)\n", "pz_kplng_idx = np.array([27], dtype=np.int32)\n", "pz_idx = np.append(pz_kplng_idx, pz_wplng_idx)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "eta_true = np.ones(nn) * hz_val\n", "eta_true[pz_idx] = pz_val\n", "eta_true[ez_idx] = ez_val" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "initial_state = np.zeros(2 * nn)\n", "initial_state[:nn] = -2.5\n", "initial_state[nn:] = 3.5\n", "# --------------------------------------------------------------------------- #" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "params = {\n", " \"G\": 1.0,\n", " \"seed\": seed,\n", " \"initial_state\": initial_state,\n", " \"weights\": weights,\n", " \"tau\": 10.0,\n", " \"eta\": -3.5,\n", " \"noise_sigma\": 0.0,\n", " \"iext\": 3.1,\n", " \"dt\": 0.1,\n", " \"tend\": 14.0,\n", " \"tcut\": 1.0,\n", " \"noise_seed\": 0,\n", " \"record_step\": 1,\n", " \"method\": \"heun\",\n", " \"output\": \"output\",\n", "}" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "obj = VEP(params)\n", "g_true = 1.0\n", "eta_true = [-1.6] * 2\n", "eta_true_ = np.ones(nn) * hz_val\n", "eta_true_[pz_idx] = pz_val\n", "eta_true_[ez_idx] = ez_val\n", "control_true = {\"eta\": eta_true_, \"G\": g_true}" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "data = obj.run(par=control_true)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "ts = data[\"x\"]\n", "t = data[\"t\"]" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "plt.figure(figsize=(10, 16))\n", "for i in range(0, nn):\n", " if i in ez_idx:\n", " plt.plot(t, ts[i, :] + i, \"r\", lw=3)\n", " elif i in pz_idx:\n", " plt.plot(t, ts[i, :] + i, \"orange\", lw=3)\n", " else:\n", " plt.plot(t, ts[i, :] + i, \"g\")\n", "plt.yticks(np.r_[0:nn] - 2, np.r_[0:nn], fontsize=10)\n", "plt.xticks(fontsize=16)\n", "plt.title(\"Source brain activity\", fontsize=18)\n", "plt.xlabel(\"Time\", fontsize=22)\n", "plt.ylabel(\"Brain Regions#\", fontsize=22)\n", "plt.tight_layout()\n", "# plt.savefig(\"output/vep_sde.png\", dpi=300)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "from vbi.feature_extraction.features_settings import *\n", "from vbi.feature_extraction.calc_features import *" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "fs = 1 / (params[\"dt\"]) / 1000\n", "cfg = get_features_by_domain(domain=\"statistical\")\n", "# cfg = get_features_by_given_names(cfg, names=[\"calc_moments\"])\n", "cfg = get_features_by_given_names(cfg, names=[\"auc\"])\n", "# report_cfg(cfg)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1/1 [00:00<00:00, 1381.52it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "(1, 84)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "data = extract_features_df([ts], fs, cfg=cfg, n_workers=1)\n", "print(data.values.shape)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "def wrapper(params, control, x0, cfg, verbose=False):\n", " vep_obj = VEP(params)\n", " sol = vep_obj.run(control, x0=x0)\n", "\n", " # extract features\n", " fs = 1.0 / params[\"dt\"] * 1000 # [Hz]\n", " stat_vec = extract_features(\n", " ts=[sol[\"x\"]], cfg=cfg, fs=fs, n_workers=1, verbose=verbose\n", " ).values[0]\n", " return stat_vec" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "def batch_run(params, control_list, x0, cfg, n_workers=1):\n", " n = len(control_list)\n", " def update_bar(_):\n", " pbar.update()\n", " with Pool(processes=n_workers) as pool:\n", " with tqdm.tqdm(total=n) as pbar:\n", " async_results = [\n", " pool.apply_async(\n", " wrapper,\n", " args=(params, control_list[i], x0, cfg, False),\n", " callback=update_bar,\n", " )\n", " for i in range(n)\n", " ]\n", " stat_vec = [res.get() for res in async_results]\n", " return stat_vec" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "num_sim = 1000\n", "num_workers = 10\n", "eta_min, eta_max = -5.0, -1.0\n", "gmin, gmax = 0.0, 2.0" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "prior_min = [gmin] + [eta_min] * 2\n", "prior_max = [gmax] + [eta_max] * 2" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "prior = utils.BoxUniform(low=torch.tensor(prior_min), high=torch.tensor(prior_max))" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "obj = Inference()\n", "theta = obj.sample_prior(prior, num_sim)\n", "theta_np = theta.numpy().astype(float)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(1000, 3)\n" ] } ], "source": [ "print(theta_np.shape)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "control_list = []\n", "for i in range(num_sim):\n", " eta_ = np.ones(nn) * hz_val\n", " eta_[pz_idx] = pz_val\n", " eta_[ez_idx] = theta_np[i, 1:]\n", " g_ = theta_np[i, 0]\n", " control_list.append({\"eta\": eta_, \"G\": g_})" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1000/1000 [00:01<00:00, 885.54it/s]\n" ] } ], "source": [ "stat_vec = batch_run(params, control_list, initial_state, cfg, num_workers)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "scalar = StandardScaler()\n", "stat_vec_st = scalar.fit_transform(np.array(stat_vec))\n", "stat_vec_st = torch.tensor(stat_vec_st, dtype=torch.float32)\n", "torch.save(theta, \"output/vep/theta.pt\")\n", "torch.save(stat_vec, \"output/vep/stat_vec.pt\")" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "torch.Size([1000, 3]) torch.Size([1000, 84])\n" ] } ], "source": [ "print(theta.shape, stat_vec_st.shape)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Neural network successfully converged after 272 epochs.train Done in 0 hours 1 minutes 18.045039 seconds\n" ] } ], "source": [ "posterior = obj.train(\n", " theta, stat_vec_st, prior, method=\"SNPE\", density_estimator=\"maf\", num_threads=8\n", ")" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "with open(\"output/vep/posterior.pkl\", \"wb\") as f:\n", " pickle.dump(posterior, f)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ziaee/anaconda3/envs/vbi_paper/lib/python3.11/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n", " return torch.load(io.BytesIO(b))\n" ] } ], "source": [ "with open(\"output/vep/posterior.pkl\", \"rb\") as f:\n", " posterior = pickle.load(f)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "xo = wrapper(params, control_true, initial_state, cfg)\n", "xo_st = scalar.transform(xo.reshape(1, -1))" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e8ffa497398d45dcb6b62322099534a1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Drawing 10000 posterior samples: 0%| | 0/10000 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "limits = [[i, j] for i, j in zip(prior_min, prior_max)]\n", "points = [[g_true] + eta_true]\n", "fig, ax = pairplot(\n", " samples,\n", " limits=limits,\n", " figsize=(5, 5),\n", " points=points,\n", " labels=[\"G\", \"eta1\", \"eta2\"],\n", " offdiag=\"kde\",\n", " diag=\"kde\",\n", " points_colors=\"r\",\n", " samples_colors=\"k\",\n", " points_offdiag={\"markersize\": 10},\n", ")\n", "ax[0, 0].tick_params(labelsize=14)\n", "ax[0, 0].margins(y=0)\n", "plt.tight_layout();" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 2 }