From 704d835b4e1c5bc1864e1e2f363b0330d736ca7a Mon Sep 17 00:00:00 2001 From: Anirban Chaudhuri <75496534+anirban-chaudhuri@users.noreply.github.com> Date: Wed, 26 Jun 2024 19:14:02 -0400 Subject: [PATCH 1/7] adding template for start time and parameter value intervention --- docs/source/interfaces.ipynb | 512 ++++++++++++++++-- .../integration_utils/intervention_builder.py | 51 +- 2 files changed, 498 insertions(+), 65 deletions(-) diff --git a/docs/source/interfaces.ipynb b/docs/source/interfaces.ipynb index 9bd60983b..3e92907a5 100644 --- a/docs/source/interfaces.ipynb +++ b/docs/source/interfaces.ipynb @@ -34,9 +34,10 @@ "from pyciemss.integration_utils.intervention_builder import (\n", " param_value_objective,\n", " start_time_objective,\n", + " start_time_param_value_objective,\n", ")\n", "\n", - "smoke_test = ('CI' in os.environ)" + "smoke_test = \"CI\" in os.environ" ] }, { @@ -2507,7 +2508,7 @@ "metadata": {}, "source": [ "## Optimize interface\n", - "Get infections below 300 individuals at 100 days for SIR model with minimum change to current value for intervention parameter" + "Get infections below 300 individuals at 40 days for SIR model with minimum change to current value for intervention parameter" ] }, { @@ -2532,40 +2533,39 @@ "end_time = 40.0\n", "logging_step_size = 1.0\n", "observed_params = [\"I_state\"]\n", - "intervention_time = [torch.tensor(1.0)]\n", "intervened_params = [\"p_cbeta\"]" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 95%|█████████▌| 19/20 [01:34<00:04, 4.98s/it]" + " 45%|████▌ | 9/20 [00:05<00:06, 1.77it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Optimal policy: tensor([0.3500], dtype=torch.float64)\n", - "{'policy': tensor([0.3500], dtype=torch.float64), 'OptResults': message: ['requested number of basinhopping iterations completed successfully']\n", + "Optimal policy: tensor([0.1389], dtype=torch.float64)\n", + "{'policy': tensor([0.1389], dtype=torch.float64), 'OptResults': message: ['requested number of basinhopping iterations completed successfully']\n", " success: True\n", - " fun: 9.999999999898979e-06\n", - " x: [ 3.500e-01]\n", + " fun: 0.2111072303557351\n", + " x: [ 1.389e-01]\n", " nit: 1\n", " minimization_failures: 0\n", - " nfev: 19\n", + " nfev: 9\n", " lowest_optimization_result: message: Optimization terminated successfully.\n", " success: True\n", " status: 1\n", - " fun: 9.999999999898979e-06\n", - " x: [ 3.500e-01]\n", - " nfev: 19\n", + " fun: 0.2111072303557351\n", + " x: [ 1.389e-01]\n", + " nfev: 9\n", " maxcv: 0.0}\n" ] }, @@ -2581,6 +2581,7 @@ "p_cbeta_current = 0.35\n", "initial_guess_interventions = 0.15\n", "bounds_interventions = [[0.1], [0.5]]\n", + "intervention_time = [torch.tensor(5.0)]\n", "\n", "risk_bound = 300.0\n", "qoi = lambda x: obs_nday_average_qoi(x, observed_params, 1)\n", @@ -2621,7 +2622,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2650,9 +2651,9 @@ " timepoint_unknown\n", " persistent_p_cbeta_param\n", " persistent_p_tr_param\n", + " S_state\n", " I_state\n", " R_state\n", - " S_state\n", " \n", " \n", " \n", @@ -2660,56 +2661,56 @@ " 0\n", " 0\n", " 0\n", - " 1.0\n", - " 0.35\n", - " 9.081274\n", - " 1.269268\n", - " 0.124207\n", - " 999.606506\n", + " 0.0\n", + " 0.378897\n", + " 18.709511\n", + " 1000.000000\n", + " 1.000000\n", + " 0.000000\n", " \n", " \n", " 1\n", " 1\n", " 0\n", - " 2.0\n", - " 0.35\n", - " 9.081274\n", - " 1.611987\n", - " 0.281907\n", - " 999.106018\n", + " 1.0\n", + " 0.378897\n", + " 18.709511\n", + " 999.553711\n", + " 1.383288\n", + " 0.063037\n", " \n", " \n", " 2\n", " 2\n", " 0\n", - " 3.0\n", - " 0.35\n", - " 9.081274\n", - " 2.046841\n", - " 0.482168\n", - " 998.471008\n", + " 2.0\n", + " 0.378897\n", + " 18.709511\n", + " 998.936829\n", + " 1.913106\n", + " 0.150228\n", " \n", " \n", " 3\n", " 3\n", " 0\n", - " 4.0\n", - " 0.35\n", - " 9.081274\n", - " 2.598353\n", - " 0.736421\n", - " 997.665344\n", + " 3.0\n", + " 0.378897\n", + " 18.709511\n", + " 998.084229\n", + " 2.645126\n", + " 0.270797\n", " \n", " \n", " 4\n", " 4\n", " 0\n", - " 5.0\n", - " 0.35\n", - " 9.081274\n", - " 3.297424\n", - " 1.059130\n", - " 996.643555\n", + " 4.0\n", + " 0.378897\n", + " 18.709511\n", + " 996.906738\n", + " 3.655854\n", + " 0.437469\n", " \n", " \n", "\n", @@ -2717,18 +2718,18 @@ ], "text/plain": [ " timepoint_id sample_id timepoint_unknown persistent_p_cbeta_param \\\n", - "0 0 0 1.0 0.35 \n", - "1 1 0 2.0 0.35 \n", - "2 2 0 3.0 0.35 \n", - "3 3 0 4.0 0.35 \n", - "4 4 0 5.0 0.35 \n", + "0 0 0 0.0 0.378897 \n", + "1 1 0 1.0 0.378897 \n", + "2 2 0 2.0 0.378897 \n", + "3 3 0 3.0 0.378897 \n", + "4 4 0 4.0 0.378897 \n", "\n", - " persistent_p_tr_param I_state R_state S_state \n", - "0 9.081274 1.269268 0.124207 999.606506 \n", - "1 9.081274 1.611987 0.281907 999.106018 \n", - "2 9.081274 2.046841 0.482168 998.471008 \n", - "3 9.081274 2.598353 0.736421 997.665344 \n", - "4 9.081274 3.297424 1.059130 996.643555 " + " persistent_p_tr_param S_state I_state R_state \n", + "0 18.709511 1000.000000 1.000000 0.000000 \n", + "1 18.709511 999.553711 1.383288 0.063037 \n", + "2 18.709511 998.936829 1.913106 0.150228 \n", + "3 18.709511 998.084229 2.645126 0.270797 \n", + "4 18.709511 996.906738 3.655854 0.437469 " ] }, "metadata": {}, @@ -2736,12 +2737,12 @@ }, { "data": { - "image/png": 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"text/plain": [ "" ] }, - "execution_count": 17, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -3004,12 +3005,403 @@ "plots.ipy_display(schema, dpi=150)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Optimize interface with start time and parameter value optimization for the same parameter" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "import os\n", + "import pyciemss\n", + "import torch\n", + "import pandas as pd\n", + "import numpy as np\n", + "from typing import Dict, List, Callable\n", + "\n", + "import pyciemss.visuals.plots as plots\n", + "import pyciemss.visuals.vega as vega\n", + "import pyciemss.visuals.trajectories as trajectories\n", + "\n", + "from pyciemss.integration_utils.intervention_builder import (\n", + " param_value_objective,\n", + " start_time_objective,\n", + " start_time_param_value_objective,\n", + ")\n", + "\n", + "smoke_test = \"CI\" in os.environ\n", + "\n", + "MODEL_PATH = \"https://raw.githubusercontent.com/DARPA-ASKEM/simulation-integration/main/data/models/\"\n", + "DATA_PATH = \"https://raw.githubusercontent.com/DARPA-ASKEM/simulation-integration/main/data/datasets/\"\n", + "\n", + "model1 = os.path.join(MODEL_PATH, \"SEIRHD_NPI_Type1_petrinet.json\")\n", + "model2 = os.path.join(MODEL_PATH, \"SEIRHD_NPI_Type2_petrinet.json\")\n", + "model3 = os.path.join(MODEL_PATH, \"SIR_stockflow.json\")\n", + "\n", + "dataset1 = os.path.join(DATA_PATH, \"SIR_data_case_hosp.csv\")\n", + "dataset2 = os.path.join(DATA_PATH, \"traditional.csv\")\n", + "\n", + "start_time = 0.0\n", + "end_time = 100.0\n", + "logging_step_size = 10.0\n", + "num_samples = 3 if smoke_test else 100\n", + "\n", + "\n", + "def obs_nday_average_qoi(\n", + " samples: Dict[str, torch.Tensor], contexts: List, ndays: int = 7\n", + ") -> np.ndarray:\n", + " \"\"\"\n", + " Return estimate of last n-day average of each sample.\n", + " samples is is the output from a Pyro Predictive object.\n", + " samples[VARIABLE] is expected to have dimension (nreplicates, ntimepoints)\n", + " Note: last ndays timepoints is assumed to represent last n-days of simulation.\n", + " \"\"\"\n", + " dataQoI = samples[contexts[0]].detach().numpy()\n", + " return np.mean(dataQoI[:, -ndays:], axis=1)\n", + "\n", + "start_time = 0.0\n", + "end_time = 40.0\n", + "logging_step_size = 1.0\n", + "observed_params = [\"I_state\"]\n", + "intervened_params = [\"p_cbeta\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 2%|▏ | 2/120 [00:02<02:46, 1.41s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 5%|▌ | 6/120 [00:08<02:57, 1.56s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 36%|███▌ | 43/120 [01:18<01:55, 1.49s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + "C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + "C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + "C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + "C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 41%|████ | 49/120 [01:20<00:49, 1.43it/s]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 43%|████▎ | 52/120 [01:24<01:03, 1.07it/s]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 46%|████▌ | 55/120 [01:27<01:03, 1.02it/s]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 48%|████▊ | 57/120 [01:28<00:55, 1.13it/s]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 49%|████▉ | 59/120 [01:30<00:57, 1.05it/s]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. 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Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 92%|█████████▏| 110/120 [02:23<00:15, 1.51s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 96%|█████████▌| 115/120 [02:31<00:09, 1.89s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + " 99%|█████████▉| 119/120 [02:37<00:01, 1.58s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n", + " warnings.warn(\n", + "121it [02:37, 1.30s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal policy: tensor([5.7440, 0.1932], dtype=torch.float64)\n", + "{'policy': tensor([5.7440, 0.1932], dtype=torch.float64), 'OptResults': message: ['requested number of basinhopping iterations completed successfully']\n", + " success: False\n", + " fun: 0.12091439529260306\n", + " x: [ 5.744e+00 1.932e-01]\n", + " nit: 2\n", + " minimization_failures: 3\n", + " nfev: 119\n", + " lowest_optimization_result: message: Did not converge to a solution satisfying the constraints. See `maxcv` for magnitude of violation.\n", + " success: False\n", + " status: 4\n", + " fun: 0.12091439529260306\n", + " x: [ 5.744e+00 1.932e-01]\n", + " nfev: 40\n", + " maxcv: 0.001672363281215894}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\interfaces.py:964: UserWarning: Optimal intervention policy does not satisfy constraints.Check if the risk_bounds value is appropriate for given problem.Otherwise, try (i) different initial_guess_interventions, (ii) increasing maxiter/maxfeval,and/or (iii) increase n_samples_ouu to improve accuracy of Monte Carlo risk estimation. \n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "p_cbeta_current = 0.35\n", + "initial_guess_interventions = [1.0, 0.15]\n", + "bounds_interventions = [[start_time, 0.1], [end_time, 0.5]]\n", + "\n", + "risk_bound = 300.0\n", + "qoi = lambda x: obs_nday_average_qoi(x, observed_params, 1)\n", + "# Scaling factors for start time and parameter values in the objective function\n", + "scaling_factor_obj = [0.25 / (end_time - start_time), 1.0]\n", + "objfun = (\n", + " lambda x: -x[0] * scaling_factor_obj[0]\n", + " + np.abs(p_cbeta_current - x[1]) * scaling_factor_obj[1]\n", + ")\n", + "\n", + "static_parameter_interventions = start_time_param_value_objective(\n", + " param_name=intervened_params,\n", + ")\n", + "opt_result = pyciemss.optimize(\n", + " model3,\n", + " end_time,\n", + " logging_step_size,\n", + " qoi,\n", + " risk_bound,\n", + " static_parameter_interventions,\n", + " objfun,\n", + " initial_guess_interventions=initial_guess_interventions,\n", + " bounds_interventions=bounds_interventions,\n", + " start_time=0.0,\n", + " n_samples_ouu=int(1e2),\n", + " maxiter=2,\n", + " maxfeval=40,\n", + " # solver_method=\"euler\",\n", + " # solver_options={\"step_size\": logging_step_size / 2},\n", + " solver_method=\"rk4\",\n", + " solver_options={\"step_size\": logging_step_size},\n", + ")\n", + "print(f\"Optimal policy:\", opt_result[\"policy\"])\n", + "print(opt_result)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sample using the optimal policy as an intervention" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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timepoint_idsample_idtimepoint_unknownpersistent_p_cbeta_parampersistent_p_tr_paramS_stateI_stateR_state
0000.00.4278369.9613531000.0000001.0000000.000000
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4404.00.4278369.961353996.4823613.6899560.827661
\n", + "
" + ], + "text/plain": [ + " timepoint_id sample_id timepoint_unknown persistent_p_cbeta_param \\\n", + "0 0 0 0.0 0.427836 \n", + "1 1 0 1.0 0.427836 \n", + "2 2 0 2.0 0.427836 \n", + "3 3 0 3.0 0.427836 \n", + "4 4 0 4.0 0.427836 \n", + "\n", + " persistent_p_tr_param S_state I_state R_state \n", + "0 9.961353 1000.000000 1.000000 0.000000 \n", + "1 9.961353 999.494629 1.386655 0.118734 \n", + "2 9.961353 998.794312 1.922321 0.283356 \n", + "3 9.961353 997.824463 2.663974 0.511531 \n", + "4 9.961353 996.482361 3.689956 0.827661 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "num_samples = 10 if smoke_test else 100\n", + "result = pyciemss.sample(\n", + " model3,\n", + " end_time,\n", + " logging_step_size,\n", + " num_samples,\n", + " start_time=start_time,\n", + " static_parameter_interventions=static_parameter_interventions(opt_result[\"policy\"]),\n", + " # solver_method=\"euler\",\n", + " # solver_options={\"step_size\": 1e-2},\n", + " solver_method=\"rk4\",\n", + " solver_options={\"step_size\": logging_step_size},\n", + ")\n", + "\n", + "display(result[\"data\"].head())\n", + "\n", + "# Plot the result\n", + "schema = plots.trajectories(pd.DataFrame(result[\"data\"]), keep=\".*_state\")\n", + "plots.save_schema(schema, \"_schema.json\")\n", + "plots.ipy_display(schema, dpi=150)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{5.744: {'p_cbeta': tensor(0.1932)}}" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# print(\"Risk associated with QoI:\", result[\"risk\"][observed_params[0]][\"risk\"])\n", + "static_parameter_interventions(opt_result[\"policy\"])" + ] } ], "metadata": { diff --git a/pyciemss/integration_utils/intervention_builder.py b/pyciemss/integration_utils/intervention_builder.py index fc6535511..150c6024d 100644 --- a/pyciemss/integration_utils/intervention_builder.py +++ b/pyciemss/integration_utils/intervention_builder.py @@ -9,9 +9,10 @@ def param_value_objective( start_time: List[torch.Tensor], param_value: List[Intervention] = [None], ) -> Callable[[torch.Tensor], Dict[float, Dict[str, Intervention]]]: - if len(param_value) < len(param_name) and param_value[0] is None: + param_size = len(param_name) + if len(param_value) < param_size and param_value[0] is None: param_value = [None for _ in param_name] - for count in range(len(param_name)): + for count in range(param_size): if param_value[count] is None: if not callable(param_value[count]): param_value[count] = lambda y: torch.tensor(y) @@ -20,7 +21,7 @@ def intervention_generator( x: torch.Tensor, ) -> Dict[float, Dict[str, Intervention]]: static_parameter_interventions: Dict[float, Dict[str, Intervention]] = {} - for count in range(len(param_name)): + for count in range(param_size): if start_time[count].item() in static_parameter_interventions: static_parameter_interventions[start_time[count].item()].update( {param_name[count]: param_value[count](x[count].item())} @@ -39,13 +40,16 @@ def intervention_generator( def start_time_objective( - param_name: List[str], param_value: List[Intervention] + param_name: List[str], + param_value: List[Intervention], ) -> Callable[[torch.Tensor], Dict[float, Dict[str, Intervention]]]: + param_size = len(param_name) + def intervention_generator( x: torch.Tensor, ) -> Dict[float, Dict[str, Intervention]]: static_parameter_interventions: Dict[float, Dict[str, Intervention]] = {} - for count in range(len(param_name)): + for count in range(param_size): if x[count].item() in static_parameter_interventions: static_parameter_interventions[x[count].item()].update( {param_name[count]: param_value[count]} @@ -59,6 +63,43 @@ def intervention_generator( return intervention_generator +def start_time_param_value_objective( + param_name: List[str], + param_value: List[Intervention] = [None], +) -> Callable[[torch.Tensor], Dict[float, Dict[str, Intervention]]]: + param_size = len(param_name) + if len(param_value) < param_size and param_value[0] is None: + param_value = [None for _ in param_name] + for count in range(param_size): + if param_value[count] is None: + if not callable(param_value[count]): + param_value[count] = lambda y: torch.tensor(y) + + def intervention_generator( + x: torch.Tensor, + ) -> Dict[float, Dict[str, Intervention]]: + assert x.size()[0] == param_size*2 + static_parameter_interventions: Dict[float, Dict[str, Intervention]] = {} + for count in range(param_size): + if x[count * 2].item() in static_parameter_interventions: + static_parameter_interventions[x[count * 2].item()].update( + {param_name[count]: param_value[count](x[count * 2 + 1].item())} + ) + else: + static_parameter_interventions.update( + { + x[count * 2].item(): { + param_name[count]: param_value[count]( + x[count * 2 + 1].item() + ) + } + } + ) + return static_parameter_interventions + + return intervention_generator + + def combine_static_parameter_interventions( interventions: List[Dict[torch.Tensor, Dict[str, Intervention]]] ) -> Dict[torch.Tensor, Dict[str, Intervention]]: From 475c6b2ce530306b1e078f71780af4f65ec5f320 Mon Sep 17 00:00:00 2001 From: Anirban Chaudhuri <75496534+anirban-chaudhuri@users.noreply.github.com> Date: Wed, 26 Jun 2024 19:18:23 -0400 Subject: [PATCH 2/7] Update interfaces.ipynb --- docs/source/interfaces.ipynb | 81 ------------------------------------ 1 file changed, 81 deletions(-) diff --git a/docs/source/interfaces.ipynb b/docs/source/interfaces.ipynb index 3e92907a5..7c4c6aaee 100644 --- a/docs/source/interfaces.ipynb +++ b/docs/source/interfaces.ipynb @@ -3012,66 +3012,6 @@ "## Optimize interface with start time and parameter value optimization for the same parameter" ] }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import pyciemss\n", - "import torch\n", - "import pandas as pd\n", - "import numpy as np\n", - "from typing import Dict, List, Callable\n", - "\n", - "import pyciemss.visuals.plots as plots\n", - "import pyciemss.visuals.vega as vega\n", - "import pyciemss.visuals.trajectories as trajectories\n", - "\n", - "from pyciemss.integration_utils.intervention_builder import (\n", - " param_value_objective,\n", - " start_time_objective,\n", - " start_time_param_value_objective,\n", - ")\n", - "\n", - "smoke_test = \"CI\" in os.environ\n", - "\n", - "MODEL_PATH = \"https://raw.githubusercontent.com/DARPA-ASKEM/simulation-integration/main/data/models/\"\n", - "DATA_PATH = \"https://raw.githubusercontent.com/DARPA-ASKEM/simulation-integration/main/data/datasets/\"\n", - "\n", - "model1 = os.path.join(MODEL_PATH, \"SEIRHD_NPI_Type1_petrinet.json\")\n", - "model2 = os.path.join(MODEL_PATH, \"SEIRHD_NPI_Type2_petrinet.json\")\n", - "model3 = os.path.join(MODEL_PATH, \"SIR_stockflow.json\")\n", - "\n", - "dataset1 = os.path.join(DATA_PATH, \"SIR_data_case_hosp.csv\")\n", - "dataset2 = os.path.join(DATA_PATH, \"traditional.csv\")\n", - "\n", - "start_time = 0.0\n", - "end_time = 100.0\n", - "logging_step_size = 10.0\n", - "num_samples = 3 if smoke_test else 100\n", - "\n", - "\n", - "def obs_nday_average_qoi(\n", - " samples: Dict[str, torch.Tensor], contexts: List, ndays: int = 7\n", - ") -> np.ndarray:\n", - " \"\"\"\n", - " Return estimate of last n-day average of each sample.\n", - " samples is is the output from a Pyro Predictive object.\n", - " samples[VARIABLE] is expected to have dimension (nreplicates, ntimepoints)\n", - " Note: last ndays timepoints is assumed to represent last n-days of simulation.\n", - " \"\"\"\n", - " dataQoI = samples[contexts[0]].detach().numpy()\n", - " return np.mean(dataQoI[:, -ndays:], axis=1)\n", - "\n", - "start_time = 0.0\n", - "end_time = 40.0\n", - "logging_step_size = 1.0\n", - "observed_params = [\"I_state\"]\n", - "intervened_params = [\"p_cbeta\"]" - ] - }, { "cell_type": "code", "execution_count": 36, @@ -3381,27 +3321,6 @@ "plots.save_schema(schema, \"_schema.json\")\n", "plots.ipy_display(schema, dpi=150)" ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{5.744: {'p_cbeta': tensor(0.1932)}}" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# print(\"Risk associated with QoI:\", result[\"risk\"][observed_params[0]][\"risk\"])\n", - "static_parameter_interventions(opt_result[\"policy\"])" - ] } ], "metadata": { From 2bd2306bc6d262e3b1d3bf22e95523e1eb742c87 Mon Sep 17 00:00:00 2001 From: Anirban Chaudhuri <75496534+anirban-chaudhuri@users.noreply.github.com> Date: Wed, 26 Jun 2024 19:23:17 -0400 Subject: [PATCH 3/7] Lint --- pyciemss/integration_utils/intervention_builder.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyciemss/integration_utils/intervention_builder.py b/pyciemss/integration_utils/intervention_builder.py index 150c6024d..30345d169 100644 --- a/pyciemss/integration_utils/intervention_builder.py +++ b/pyciemss/integration_utils/intervention_builder.py @@ -78,7 +78,7 @@ def start_time_param_value_objective( def intervention_generator( x: torch.Tensor, ) -> Dict[float, Dict[str, Intervention]]: - assert x.size()[0] == param_size*2 + assert x.size()[0] == param_size * 2 static_parameter_interventions: Dict[float, Dict[str, Intervention]] = {} for count in range(param_size): if x[count * 2].item() in static_parameter_interventions: From 5379e87e2b76843e6a5412dd6a8c9ed44cbfc652 Mon Sep 17 00:00:00 2001 From: Anirban Chaudhuri <75496534+anirban-chaudhuri@users.noreply.github.com> Date: Wed, 3 Jul 2024 16:01:13 -0400 Subject: [PATCH 4/7] Adding test --- tests/fixtures.py | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/tests/fixtures.py b/tests/fixtures.py index 9ea0cd875..ddf6de737 100644 --- a/tests/fixtures.py +++ b/tests/fixtures.py @@ -9,6 +9,7 @@ from pyciemss.integration_utils.intervention_builder import ( param_value_objective, start_time_objective, + start_time_param_value_objective, ) from pyciemss.ouu.qoi import obs_max_qoi, obs_nday_average_qoi @@ -117,6 +118,16 @@ def __init__( "bounds_interventions": [[0.0], [40.0]], } +optimize_kwargs_SIRstockflow_time_param = { + "qoi": lambda x: obs_nday_average_qoi(x, ["I_state"], 1), + "risk_bound": 300.0, + "static_parameter_interventions": start_time_param_value_objective( + param_name=["p_cbeta"],), + "objfun": lambda x: -x, + "initial_guess_interventions": 1.0, + "bounds_interventions": [[0.0], [40.0]], +} + optimize_kwargs_SEIRHD_param_maxQoI = { "qoi": lambda x: obs_max_qoi(x, ["I_state"]), "risk_bound": 300.0, @@ -139,6 +150,10 @@ def __init__( os.path.join(MODELS_PATH, "SIR_stockflow.json"), optimize_kwargs=optimize_kwargs_SIRstockflow_time, ), + ModelFixture( + os.path.join(MODELS_PATH, "SIR_stockflow.json"), + optimize_kwargs=optimize_kwargs_SIRstockflow_time_param, + ), ModelFixture( os.path.join(MODELS_PATH, "SEIRHD_NPI_Type1_petrinet.json"), optimize_kwargs=optimize_kwargs_SEIRHD_param_maxQoI, From 912356b271b663d2d17030008d44efb92b4dfe05 Mon Sep 17 00:00:00 2001 From: Anirban Chaudhuri <75496534+anirban-chaudhuri@users.noreply.github.com> Date: Wed, 3 Jul 2024 16:02:27 -0400 Subject: [PATCH 5/7] lint --- tests/fixtures.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/fixtures.py b/tests/fixtures.py index ddf6de737..55daf4d46 100644 --- a/tests/fixtures.py +++ b/tests/fixtures.py @@ -122,7 +122,8 @@ def __init__( "qoi": lambda x: obs_nday_average_qoi(x, ["I_state"], 1), "risk_bound": 300.0, "static_parameter_interventions": start_time_param_value_objective( - param_name=["p_cbeta"],), + param_name=["p_cbeta"], + ), "objfun": lambda x: -x, "initial_guess_interventions": 1.0, "bounds_interventions": [[0.0], [40.0]], From 791a4d0cc8c4f94f7e5978cd9e187a04300bde27 Mon Sep 17 00:00:00 2001 From: Anirban Chaudhuri <75496534+anirban-chaudhuri@users.noreply.github.com> Date: Wed, 3 Jul 2024 16:58:56 -0400 Subject: [PATCH 6/7] fixing tests --- pyciemss/integration_utils/intervention_builder.py | 2 +- tests/fixtures.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/pyciemss/integration_utils/intervention_builder.py b/pyciemss/integration_utils/intervention_builder.py index 30345d169..e60491505 100644 --- a/pyciemss/integration_utils/intervention_builder.py +++ b/pyciemss/integration_utils/intervention_builder.py @@ -78,7 +78,7 @@ def start_time_param_value_objective( def intervention_generator( x: torch.Tensor, ) -> Dict[float, Dict[str, Intervention]]: - assert x.size()[0] == param_size * 2 + assert x.size()[0] == param_size * 2, "Size mismatch: check size for initial_guess_interventions and/or bounds_interventions" static_parameter_interventions: Dict[float, Dict[str, Intervention]] = {} for count in range(param_size): if x[count * 2].item() in static_parameter_interventions: diff --git a/tests/fixtures.py b/tests/fixtures.py index 55daf4d46..9d2d75802 100644 --- a/tests/fixtures.py +++ b/tests/fixtures.py @@ -124,9 +124,9 @@ def __init__( "static_parameter_interventions": start_time_param_value_objective( param_name=["p_cbeta"], ), - "objfun": lambda x: -x, - "initial_guess_interventions": 1.0, - "bounds_interventions": [[0.0], [40.0]], + "objfun": lambda x: -x[0] * 0.25 / (0.0 - 40.0) + np.abs(0.35 - x[1]) * 1.0, + "initial_guess_interventions": [1.0, 0.15], + "bounds_interventions": [[0.0, 0.1], [40.0, 0.5]], } optimize_kwargs_SEIRHD_param_maxQoI = { From a121391057fb37cf4a3111602c59c2b9aa9796f4 Mon Sep 17 00:00:00 2001 From: Anirban Chaudhuri <75496534+anirban-chaudhuri@users.noreply.github.com> Date: Wed, 3 Jul 2024 17:04:17 -0400 Subject: [PATCH 7/7] lint --- pyciemss/integration_utils/intervention_builder.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pyciemss/integration_utils/intervention_builder.py b/pyciemss/integration_utils/intervention_builder.py index e60491505..1f9391d86 100644 --- a/pyciemss/integration_utils/intervention_builder.py +++ b/pyciemss/integration_utils/intervention_builder.py @@ -78,7 +78,9 @@ def start_time_param_value_objective( def intervention_generator( x: torch.Tensor, ) -> Dict[float, Dict[str, Intervention]]: - assert x.size()[0] == param_size * 2, "Size mismatch: check size for initial_guess_interventions and/or bounds_interventions" + assert ( + x.size()[0] == param_size * 2 + ), "Size mismatch: check size for initial_guess_interventions and/or bounds_interventions" static_parameter_interventions: Dict[float, Dict[str, Intervention]] = {} for count in range(param_size): if x[count * 2].item() in static_parameter_interventions: