{
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   "source": [
    "In this notebook, we carry out multi-output batch Bayesian optimization to attain a next proposal for the cement mixtures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import pandas as pd\n",
    "import torch\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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   "source": [
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = [10, 8]\n",
    "plt.rcParams['axes.facecolor'] = 'white'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   },
   "source": [
    "## System Setup\n",
    "\n",
    "This cell automatically configures the environment for both local development and CI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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   "source": [
    "# boxcrete resolves data paths relative to the package installation,\n",
    "# so no working directory changes are needed.\n",
    "# If running from source: pip install -e ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
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   "source": [
    "from boxcrete import utils\n",
    "\n",
    "data_path = utils.DATA_PATH\n",
    "data = utils.load_concrete_strength(data_path=data_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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    "originalKey": "5763e050-7a4b-49d7-aadd-feffbad0b4aa",
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   },
   "source": [
    "## Define and Fit Model\n",
    "1. fit strength model\n",
    "2. fit GWP model\n",
    "3. unify as composition-input-only with fixed-time outputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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    "execution": {
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    },
    "executionStartTime": 1714009692329,
    "executionStopTime": 1714009692716,
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     "id": "2443510099183525",
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    "serverExecutionDuration": 7.6500475406647,
    "showInput": true
   },
   "outputs": [],
   "source": [
    "from boxcrete.concrete_model import SustainableConcreteModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
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   "source": [
    "model_strength_days = [1, 28]  # the strength days that are converted to optimization objectives\n",
    "model = SustainableConcreteModel(strength_days=model_strength_days)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
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    {
     "data": {
      "text/plain": [
       "SingleTaskGP(\n",
       "  (likelihood): GaussianLikelihood(\n",
       "    (noise_covar): HomoskedasticNoise(\n",
       "      (raw_noise_constraint): LogTransformedInterval(1.000E-04, 1.000E+00)\n",
       "    )\n",
       "  )\n",
       "  (mean_module): ZeroMean()\n",
       "  (covar_module): LinearKernel(\n",
       "    (raw_variance_constraint): Positive()\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit_gwp_model(data)"
   ]
  },
  {
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     "data": {
      "text/plain": [
       "SingleTaskGP(\n",
       "  (likelihood): GaussianLikelihood(\n",
       "    (noise_covar): HomoskedasticNoise(\n",
       "      (raw_noise_constraint): LogTransformedInterval(1.000E-06, 1.000E+00)\n",
       "    )\n",
       "  )\n",
       "  (mean_module): ConstantMean()\n",
       "  (covar_module): AdditiveKernel(\n",
       "    (kernels): ModuleList(\n",
       "      (0): ScaleKernel(\n",
       "        (base_kernel): MaternKernel(\n",
       "          (raw_lengthscale_constraint): LogTransformedInterval(1.000E-02, 1.000E+03)\n",
       "        )\n",
       "        (raw_outputscale_constraint): LogTransformedInterval(1.000E-02, 1.000E+02)\n",
       "      )\n",
       "      (1): ScaleKernel(\n",
       "        (base_kernel): RBFKernel(\n",
       "          (raw_lengthscale_constraint): LogTransformedInterval(1.000E-02, 1.000E+03)\n",
       "        )\n",
       "        (raw_outputscale_constraint): LogTransformedInterval(1.000E-02, 1.000E+02)\n",
       "      )\n",
       "    )\n",
       "  )\n",
       "  (outcome_transform): Standardize()\n",
       "  (input_transform): ChainedInputTransform(\n",
       "    (tf1): AffineInputTransform()\n",
       "    (tf2): Log10()\n",
       "    (tf3): Normalize()\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit_strength_model(data)"
   ]
  },
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    {
     "data": {
      "text/plain": [
       "tensor([0.0237], dtype=torch.float64, grad_fn=<ExpBackward0>)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.strength_model.likelihood.noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
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   "source": [
    "# NOTE: Without fixed_features, get_model_list() only fixes Time internally.\n",
    "# The resulting model_list accepts full composition-space inputs (d-1 dims,\n",
    "# excluding Time). For optimization with mortar/concrete-specific fixed\n",
    "# features, see the prediction_and_optimization_tutorial notebook.\n",
    "model_list = model.get_model_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
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   "source": [
    "# NOTE: the original search space bounds are not satisfied by some of the Ozinga data.\n",
    "X, Y, Yvar, X_bounds = data.gwp_data\n",
    "ind = range(len(X))\n",
    "post_list = model_list.posterior(X)"
   ]
  },
  {
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    {
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",
      "text/plain": [
       "<Figure size 1500x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CHECK_gwp = True\n",
    "\n",
    "if CHECK_gwp:\n",
    "    obj_id = 0\n",
    "    # Y[ind], post_list.mean[:, 0], Yvar[ind], post_list.variance[:, obj_id] # variance for GWP looking good, since it gets rounded to ~ 1%.\n",
    "    truth = Y[ind]\n",
    "    pred = post_list.mean[:, 0].detach()\n",
    "    truth_std = Yvar[ind][ind].sqrt().detach()\n",
    "    pred_std = post_list.variance[:, obj_id].sqrt().detach()\n",
    "    plt.figure(dpi=150)\n",
    "    plt.title(\"GWP Model Calibration\")\n",
    "    plt.ylabel(\"Prediction\")\n",
    "    plt.xlabel(\"Truth\")\n",
    "    plt.scatter(truth, pred)\n",
    "    plt.errorbar(truth, pred, yerr=2*pred_std, fmt=\"o\")\n",
    "    line = torch.arange(truth.min(), truth.max())\n",
    "    plt.plot(line, line)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:51.400245Z",
     "iopub.status.busy": "2026-03-18T21:37:51.400010Z",
     "iopub.status.idle": "2026-03-18T21:37:51.423116Z",
     "shell.execute_reply": "2026-03-18T21:37:51.422325Z"
    },
    "executionStartTime": 1714009696623,
    "executionStopTime": 1714009697011,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "fc5c2b04-cb90-4fe3-9ead-4b6c3ed45265",
    "output": {
     "id": "1115036999740829",
     "loadingStatus": "before loading"
    },
    "outputsInitialized": true,
    "requestMsgId": "fc5c2b04-cb90-4fe3-9ead-4b6c3ed45265",
    "serverExecutionDuration": 9.9345855414867,
    "showInput": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[-321.7353]], dtype=torch.float64, grad_fn=<UnsqueezeBackward0>)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Quick check: predict GWP for first composition in the dataset\n",
    "X_gwp = data.gwp_data[0]  # compositions without Time\n",
    "model.gwp_model.posterior(X_gwp[:1]).mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:51.424496Z",
     "iopub.status.busy": "2026-03-18T21:37:51.424347Z",
     "iopub.status.idle": "2026-03-18T21:37:51.430748Z",
     "shell.execute_reply": "2026-03-18T21:37:51.430351Z"
    },
    "executionStartTime": 1714009697027,
    "executionStopTime": 1714009697418,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "40f80adc-5aaa-48de-b494-c487cb45d8a8",
    "output": {
     "id": "295914886889310",
     "loadingStatus": "before loading"
    },
    "outputsInitialized": true,
    "requestMsgId": "40f80adc-5aaa-48de-b494-c487cb45d8a8",
    "serverExecutionDuration": 6.4466185867786,
    "showInput": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([0.0237], dtype=torch.float64, grad_fn=<ExpBackward0>)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.strength_model.likelihood.noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:51.432194Z",
     "iopub.status.busy": "2026-03-18T21:37:51.432062Z",
     "iopub.status.idle": "2026-03-18T21:37:52.343136Z",
     "shell.execute_reply": "2026-03-18T21:37:52.342329Z"
    },
    "executionStartTime": 1714009697427,
    "executionStopTime": 1714009697805,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "d9672725-42c2-42bf-b5ed-08891b7431af",
    "outputsInitialized": true,
    "requestMsgId": "d9672725-42c2-42bf-b5ed-08891b7431af",
    "serverExecutionDuration": 4.3433681130409,
    "showInput": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CHECK_1day = True\n",
    "\n",
    "if CHECK_1day:\n",
    "    time = 1\n",
    "    Xt, truth, truth_var = data.strength_data_by_time(time)\n",
    "    truth = truth.squeeze()\n",
    "    truth_std = truth_var.sqrt().squeeze()\n",
    "    post_t = model.strength_model.posterior(Xt)\n",
    "    pred = post_t.mean.detach().squeeze()\n",
    "    pred_std = post_t.variance.sqrt().detach().squeeze()\n",
    "\n",
    "    fig = plt.figure(dpi=200)\n",
    "    plt.title(f\"Day-{time} Strength Calibration\")\n",
    "    plt.ylabel(\"Prediction\")\n",
    "    plt.xlabel(\"Truth\")\n",
    "    plt.scatter(truth, pred)\n",
    "    lw = 3\n",
    "    plt.errorbar(truth, pred, yerr=2 * pred_std, fmt=\"o\", linewidth=lw)\n",
    "    plt.errorbar(truth.squeeze(), pred, xerr=2 * truth_std.squeeze(), fmt=\"o\", linewidth=lw/2)\n",
    "    line = torch.arange(truth.min(), truth.max())\n",
    "    plt.plot(line, line, color=\"black\", linestyle=\":\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:52.345703Z",
     "iopub.status.busy": "2026-03-18T21:37:52.345101Z",
     "iopub.status.idle": "2026-03-18T21:37:52.350694Z",
     "shell.execute_reply": "2026-03-18T21:37:52.350323Z"
    },
    "executionStartTime": 1714009697816,
    "executionStopTime": 1714009698219,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "6e4d1eee-bc29-43c8-8245-361327b6a467",
    "outputsInitialized": true,
    "requestMsgId": "6e4d1eee-bc29-43c8-8245-361327b6a467",
    "serverExecutionDuration": 1.8328316509724,
    "showInput": true
   },
   "outputs": [],
   "source": [
    "# fig.savefig(\"1_day_strength_callibration_fourth_batch.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:52.352471Z",
     "iopub.status.busy": "2026-03-18T21:37:52.352178Z",
     "iopub.status.idle": "2026-03-18T21:37:53.175201Z",
     "shell.execute_reply": "2026-03-18T21:37:53.174190Z"
    },
    "executionStartTime": 1714009903053,
    "executionStopTime": 1714009910267,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "b253d6e1-3d4a-4892-bc25-fac7f84f9635",
    "output": {
     "id": "446262808066983",
     "loadingStatus": "before loading"
    },
    "outputsInitialized": true,
    "requestMsgId": "b253d6e1-3d4a-4892-bc25-fac7f84f9635",
    "serverExecutionDuration": 823.92447069287,
    "showInput": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jjz46HfeVV16pNL5mzZr0CdM+ffpUeynRM888Mx1n+vTplcYzdc5h9OjR6ThjxoypMs78+fOT/Pz8JCKSQw45pBZfBTItE/V6ww03JBGR9OrVK1m9enWtmmTqlU21KTW77ord6667bpMeV83SEORl+55o0FA89thj6e1TTz21yjl5eXlx0kknRUTEl19+GePHj6+3/GgaBg8enN7+4IMPKo0nSRJjx46NiIjevXvHd7/73SrjfPe7341evXpFRMTYsWPjPyvl/8+cOXNi9uzZERFx7LHHRsuWLauMs+7NWP/2t79VGn/88cejvLw8ooafi3XjlJeXx+OPP17tPBq2c845J5YvXx4nn3xy7Lfffhucr17JhnHjxsV7770XEREXXXRRFBQUbNTx6pb6tGbNmvT2DjvsUO28HXfcscpj1CsNSVOtx3VfB677mOtq2bJlHHvssRER8fbbb8ecOXOqfTwanw29Rhs/fnx89dVXERFx8sknR15e1afSNlSzmTrnsDZOmzZt4qijjqoyTvfu3ePAAw+MiIjnn38+li1bVuU8Gq6PPvooLr300oiIuP3226NZs2a1Ok69Up9uvfXWiIho27Zt/OQnP9mkGGqWhkCTDL7x8ssvR0REUVFR7LnnntXOW/fE8aRJk+olN5qO1atXp7fz8/Mrjc+dOzc++eSTiPVqrSprx//1r3/FvHnzKoytrecNxenatWsUFxdHVFPPtY3j56Lxe/jhh+PJJ5+MLbfcMq6//vpaHaNeyYZHHnkkIiJSqVQcdthh6f1LliyJ9957L5YsWVLj8eqW+rS2URAR8eGHH1Y7b+1J2VQqFTvttFN6v3qlIWmq9bg2Tq9evaJr166bHIfGa0Ov0Wpba3379k03fWuqtc0557BmzZqYPn16RETsvffeNTZO1sZZvXp1zJw5s9p5NExnn312lJSUxIknnhiDBg2q9XHqlfqyZs2a9JtnhgwZEoWFhRERUVZWFvPnz4958+bFqlWrNhhHzdIQaJLBN9a+m7Fnz541viu9d+/elY6B2po4cWJ6u0+fPpXG33777fT2urVWlZpqcVPizJ8/P0pKSqqM07Zt2xpPGmy11VbRpk2bKnOh4fvyyy9j5MiRERExevTo6NixY62OU69kw9SpUyMiYrvttovWrVvHn//859h1112jQ4cOUVxcHB06dIhevXrF9ddfX+Gk11rqlvp03HHHpb9vo0ePjrKyskpzZs2aFU899VRERBx//PHp+aFeaWCaYj0uX7485s+fv9nPicYtU6/RCgoKomfPnhHV1EgmzjnMmTMn/bdEzTZdDz74YPz973+P9u3bxw033LBRx6pX6strr72WboLtuuuusXTp0jjvvPOiY8eOsc0228T2228fbdu2jSFDhsSECROqjaNmaQg0ySAiVq1aFYsXL474ZslsTdq3bx9FRUUR37xYg9oqLy+Pa665Jv352ku2rGvBggXp7Q3VYo8ePdLb69fipsRJkqTCcevG2VCMdeP4uWh8Lrzwwli0aFEMGDAgTjvttFofp16pb+Xl5fHOO+9ERETHjh1j5MiRMWLEiHjzzTcrzJszZ05ccMEFsf/++8eXX35ZYUzdUp86duwY9913X7Rs2TImTZoU/fr1iz/96U8xderUeO655+J//ud/Yr/99os1a9bEd77znUonwtQrDUlTrMdMPScar9deey39RoVdd921yibZ2jopKiqKdu3a1RhvbZ189tlnFd6sk6lzDmq26fviiy/ivPPOi4iIa665Jjp16rRRx6tX6su6za3y8vLo27dv3HzzzRVef61Zsyaee+652H///WP06NFVxlGzNASaZBBR4dqxrVq12uD8tb9Mly9fXqd50bTcdNNN6WXbRx11VJXLvzemFtfWYVRRi5mO4+ei6XrppZfij3/8YxQUFMTtt98eqVSq1seqV+rbV199lb7/zBtvvBG//e1vY6uttor7778/lixZEitWrIiJEyem75MzefLk+NGPflQhhrqlvh1xxBHxyiuvxOmnnx7//Oc/4+STT4699947hgwZEpdffnm0bNkyfvOb38RLL70UXbp0qXCseqUhaYr1mKlcaJxWr14dp59+enrVwFVXXVXlvE2ptVivTjJ1zkHNNn0XXHBBfPrpp7H33nvHGWecsdHHq1fqy7qXuR89enS899578V//9V8xffr0WLVqVfz73/+O2267Ldq2bRtJksTFF1+cvjzjutQsDYEmGXzzjoO1anMz1ObNm0dExMqVK+s0L5qOiRMnxsUXXxwREZ07d47bbrutynkbU4tr6zCqqMVMx/Fz0TStWbMmfvzjH0eSJDFq1KjYZZddNup49Up9W/dSW6tWrYqWLVvG+PHjY8SIEdG+ffto0aJF7LvvvvHCCy/E7rvvHvHNTZ2nTZtW4bi11C31Yc2aNfGnP/0pxo4dG0mSVBr/9NNP4/7774/nnnuu0ph6pSFpivWYqVxonH7yk5+k7yNz8sknx+GHH17lvE2ptVivTjJ1zkHNNm0vvvhi3H333Zv0Bsa11Cv1Zf3XZkOGDIknn3wy+vXrF82bN49OnTrFf//3f8eTTz4ZeXn/aUFccskllf4fVrM0BJpkEJG+uWR8cyJjQ9Yu6W3RokWd5kXT8NZbb8Xw4cOjtLQ0CgsL45FHHonOnTtXOXdjanHdpeXr12Km4/i5aJp+/etfxzvvvBPbbLNNXHbZZRt9vHqlvq1bKxERp59+evTq1avSvBYtWlR4N/hDDz1UZQx1S10rKSmJAw88MK6++upYsmRJXHjhhTF79uxYvXp1fPXVVzFu3LgYOHBgzJw5M4YNGxY33nhjhePVKw1JU6zHTOVC43P11VfHH//4x4iI6NevX/zud7+rdu6m1FqsVyeZOuegZpuu1atXp9/AOHLkyNhtt902KY56pb6s/9ps9OjRkZ+fX2newIED46ijjor45t5db7zxRpVx1CzZpEkGEdG6dev0dm2WyK59t0RtlvCS2+bOnRsHHXRQfPHFF5Gfnx8PPvhg7LvvvtXO35haXPddO+vXYqbj+Lloet555524+uqrIyLilltuqXCpgNpSr9S3dWslIuKggw6qdu4BBxyQvmHzjBkzqoyhbqlrl19+ebz00ksREXHXXXfF6NGjo3fv3tGsWbNo06ZNDBkyJMaPHx+DBw+OJEniggsuiNdeey19vHqlIWmK9ZipXGhc/vCHP8TPf/7ziIjo3bt3/P3vf6/xf+FNqbVYr04ydc5BzTZdV111Vbz77rvRo0eP+J//+Z9NjqNeqS/rfn87deoUe+yxR7Vzhw4dmt5e97VZqFkaiIJsJwANQWFhYXTo0CE+//zzSjeEXt8XX3yR/kW47k0aYX2ffPJJHHjggfHJJ59EKpWKu+++O4488sgaj1n3xqAbqsV1bwy6fi2uH6djx44bjJNKpSrdmLR79+7x6aefbjCXdeP4uWgcbrrpplizZk3ssMMOsWLFinjwwQcrzXnzzTfT2y+88EIsWrQoIiIOP/zwKCoqUq/Uu7WX7fjss88iNvD9KywsjI4dO8aiRYvS88PvWepRkiRx9913R0REcXFxnHzyyVXOKygoiCuvvDIGDhwY5eXlce+998ZNN90UoV5pYJpiPW699dYVcqlNjKri0HiMGTMmzj777IiI2HbbbePZZ5+tsQbjm1qbNm1alJSUxJdffhnt2rWrdu7aOunUqVOFS3Fl6pxDpn4OaXhGjx4dEREHHnhgPPHEE1XOWVsXJSUl6ddvnTt3jv333z89R71SX9b9Pq3/N7qmueu+Ngs1SwNhJRl8Y+edd46IiPfffz9KS0urnffOO++kt/v06VMvudH4LF68OIYMGRIffvhhxDcrdU466aQNHre2DmO9WqtKTbW4KXF69OhR6R2Ua+N89dVX6QZJVRYuXBhLly6tMhcaprWXBvjwww/juOOOq/LjL3/5S3r+lVdemd6/9p9a9Uo2fOtb30pvl5WV1Th37fjaFWWhbqlHn376afqG5jW9szYiYs8990xvr1tP6pWGpCnWY+vWrdMntjbnOdE4PP7443HSSSdFeXl5bLXVVvH8889v8MRubETNlpaWxgcffBBRTY1k4pxDcXFx+nJmarZpWXtpt3vuuafa12eLFy+O+OZ8w9p9V1xxRYU46pX6simvy2K912ahZmkgNMngGwMHDoz45h05r7zySrXzJk6cmN4eMGBAveRG4/LVV1/F0KFD4+23346IiGuuuSbOOeecWh27/fbbR7du3SLWq7WqvPjiixHfvAN2u+22qzC2tp43FGfRokUxZ86ciGrqubZx/FzkJvVKNqx7ydq1b0SoytKlS9MnEtZdKaBuqS/rngCo6YV6RMTXX39d5XHqlYakqdbj2jjvvvtujc02dd24Pf/883HsscdGaWlpdOjQIZ599tnYcccda3VsbWtt5syZ6dUJNdXa5pxzaNasWfTv3z8iIqZMmVLjPXPWxmnevHn07du32nk0LeqV+rLtttvGNttsExER8+bNiyRJqp27trkV6702CzVLQ5EASZIkybRp05KISCIiOfPMM6ucU1ZWlvTp0yeJiKRdu3bJmjVr6j1PGraSkpJkwIAB6Vr6xS9+sdExzjrrrPTxU6ZMqXLOlClT0nPOPvvsKuesrdUtt9wyKSkpqXLO1VdfnY7z8MMPVxpfuHBhkpeXl0REMnTo0GpzHjp0aBIRSV5eXrJw4cJaP1catssuuyxdH+PHj69yjnqlvr322mvpOhgxYkS18+699970vCuvvLLCmLqlPpSVlSVt2rRJIiLp1q1b8vXXX1c794knnkjXybnnnlthTL1SV+bOnZv+fp988sm1OqYp1uNDDz2Ufpyrr766yhglJSVJ+/btk4hIdt5552ofi7q1KTWbJEkyadKkpKioKImIpG3btsnMmTM36nFXr16dtG3bNomIpE+fPkl5eXmV884888x0ftOnT680nqlzDqNHj07HGTNmTJVx5s+fn+Tn5ycRkRxyyCEb9XzJjE2t15psu+22SUQk2267bbVz1CubalNqdtSoUeljnn322WrnDRo0KD3v448/rjCmZmkINMlgHfvss08SEUlBQUEyefLkSuPXXntt+hflZZddlpUcabhWr16dHHTQQekaGTly5CbFeffdd9N/bPv27ZusWLGiwviKFSuSvn37pmt1zpw5Vca566670rmcc845lcbff//99Mm7nj17Vnvy7sQTT0zHeeSRRyqNP/zwwxn/55+GoTZNMvVKNhx88MHpE57PPfdcpfGFCxcm3bt3TyIiadasWbJgwYIK4+qW+nLcccelv3eXX355lXOWLFmS7Lzzzul5zzzzTIVx9Upd2ZSTYU2xHtesWZPssMMOSUQkbdq0Sd5///1Kc84+++x0nHvuuafarw91a1NqdtasWUm7du2SiEiKioqSl19+eZMe+1e/+lX6sa+99tpK45MnT04KCgqSiEj222+/auNk4pzD559/nj6hvO222yaLFy+uMF5aWpocfvjhG/w/nrqVrSZZol7ZRJtSsx999FFSWFiYRESy6667Jl999VWlOffdd1867qGHHlplHDVLtmmSwTpeffXVpEWLFklEJK1atUp+/etfJ1OmTEleeOGF5Mc//nH6F2BxcXGydOnSbKdLA3PUUUela2T//fdPXn/99eSNN96o9uPdd9+tNtbFF1+cjrXHHnskDz74YDJjxozkwQcfTPbYY4/02CWXXFJtjNLS0gqr2o4++ujkH//4RzJt2rTklltuSTp37pw+yfz3v/+92jgff/xx0qlTp/Q/GhdddFHy0ksvJS+99FJy0UUXpf9R6dSpUzJ//vzN/jrScNSmSZaoV7Lg3XffTZ/wKiwsTC6++OLkxRdfTGbMmJH87ne/SzfIIiIZPXp0lTHULfVh9uzZScuWLdM1cvjhhyePPvpo8uqrryaTJ09ObrzxxmSbbbZJjx9wwAFVxlGvZMJLL72U3HPPPemP6667Ll0PAwYMqDBWUyOoKdbjU089lV6V1qVLl+SWW25Jpk2blvzjH/9Ijj766HSeAwcOTEpLSzfiq87m2Nyaff/999O1FBHJTTfdVOPrszfeeCP59NNPq8xl6dKlSXFxcTrWj3/84+SFF15IpkyZkvz6179OWrVqlURE0qJFi2TWrFnVPqdMnXO4/fbb03N33HHH5O67705mzJiRjB07Nhk8eHB67LjjjtvErz4bK1O/Y2tS2yaZeqU2MlWz6zaeevXqldx9993JzJkzkxdeeCH5yU9+kn5zTZs2bap984yaJds0yWA9jz/+ePpdi1V9FBcXJ++9916206QBqq5mqvuo6R/bsrKy5Ec/+lGNx5922mlJWVlZjTl99tlnSb9+/aqN0bx58+TOO+/c4HObOnVq0rVr12rjdO3aNZk6deomfd1ouGrbJFOvZMNLL72UdOnSpdrvcyqVSn75y19We7y6pb48++yzSceOHTf4f8H++++fLFmypMoY6pVMOPnkkzfqf9XqNNV6vOOOO5JmzZpVG6d///7JZ599tsE4ZM7m1uw999yzUcfHBq4Y89577yU77bRTtce2adMmeeKJJzb4vDJ1zuHSSy9NUqlUtXEOOeSQZOXKlbX4SpMJmfodW5PaNskS9UotZLJmL7744hq/v507d65yZde61CzZpEkGVZg3b14yatSopLi4OGnZsmXSrl27pG/fvsno0aOrvWY+bOwLsNr8Y/vUU08lRx55ZNKtW7ekWbNmSbdu3ZIjjzyyxnfUru/rr79Ofv/73ycDBw5MOnTokBQWFiY77LBDcsYZZyRvvvlmreN89tlnyS9/+ctkl112SVq1apW0atUq2XXXXZNf/vKXlZaf0zTUtkm2lnqlvi1evDi57LLLkt133z1p06ZNUlhYmGy//fbJqaeemrz66qu1iqFuqQ+LFy9ORo8enQwaNCjp1KlTssUWWyQtWrRItt9+++TYY49NHnvssWrvv7Au9crmyPQJ3KZYj2+88UZyxhlnJDvssENSWFiYdOjQIRk4cGBy22231XhfQepGQ2uSJUmSLF++PBk9enTSt2/fpF27dknLli2TXr16JaNGjUrmzZtX6+eWqXMOkyZNSo4//vikR48eSbNmzZLOnTsnQ4YMSf785z/XOgaZ0dCaZIl6ZQMyXbOTJ09OTjzxxGS77bZLmjdvnrRt2zbp169fcuWVVyZffvllrXJSs2RLKvnPiV0AAAAAAADIGXnZTgAAAAAAAADqmyYZAAAAAAAAOUeTDAAAAAAAgJyjSQYAAAAAAEDO0SQDAAAAAAAg52iSAQAAAAAAkHM0yQAAAAAAAMg5mmQAAAAAAADkHE0yAAAAAAAAco4mGQAAAAAAADlHkwwAAAAAAICco0kGAAAAAABAztEkAwAAAAAAIOdokgEAAAAAAJBzNMkAAAAAAADIOZpkAAAAAAAA5BxNMgAAAHLKoEGDIpVKxaBBg7KdCgAAkEWaZAAAAFQyb968SKVSm/0BAADQUGmSAQAA0OhdfvnlGnMAAMBGKch2AgAAADQ8W2+9dbzxxhvVju+6664REdG3b9+455576jEzAACAzNAkAwAAoJItttgidtlllw3OKyoqqtU8AACAhsblFgEAAAAAAMg5mmQAAABk1KBBgyKVSsWgQYMiIuK9996Ln/zkJ7HTTjtFy5YtI5VKxbx58yIi4t57703fS2ztvqrMmzcvPe/ee+9N7197/P/8z/+k962dt+5HTbH/9a9/xU9/+tPo2bNntGjRIjp06BBDhw6Np59+OkNfEQAAoCFyuUUAAADqzNixY2PEiBFRUlKS7VSqNGnSpBg2bFgsXrw4vW/VqlUxbty4GDduXFx33XXxs5/9LKs5AgAAdUOTDAAAgDrx8ccfxwknnBAtW7aMX/3qV7HPPvtEfn5+zJgxI1q1apWRxxg2bFj07ds3fv/738dtt90WERFvvPFGpXlbb711pX0LFy6MYcOGRV5eXlxzzTUxcODAaNasWbz88stxxRVXxJdffhmXXHJJHHzwwfGtb30rI/kCAAANhyYZAAAAdWLu3LnRrVu3mDJlSmyzzTbp/XvttVfGHqNdu3bRrl276Ny5c3rfLrvsUqtj58yZE9tuu21MmjSpQhOtX79+0a9fv9h3332jtLQ07rjjjrj55pszljMAANAwuCcZAAAAdeaaa66p0CBraG655ZYqV5kNHDgw3cx76aWXspAZAABQ1zTJAAAAqBPNmjWLY445JttpVKtdu3Zx6KGHVju+5557RkTEhx9+WI9ZAQAA9UWTDAAAgDqx0047RWFhYbbTqNZOO+0UeXnVvyzecsstIyJi2bJl9ZgVAABQXzTJAAAAqBPt27fPdgo1atmyZY3jaxto5eXl9ZQRAABQnzTJAAAAqBP5+fnZTgEAAKBammQAAABkzbqXO6xpxVZJSUk9ZQQAAOQKTTIAAACypnXr1untL774otp5c+bMqTFOKpXKaF4AAEDTp0kGAABA1my//fbp7ZkzZ1Y7b8yYMTXGKSwsTG+vXr06Q9kBAABNmSYZAAAAWbPLLrvElltuGRERt956a5UNrocffjgeeeSRGuNstdVW6e0PPvigDjIFAACaGk0yAAAAsqagoCDOPPPMiIh48803Y//994+xY8fGrFmz4h//+Eecdtppcdxxx8X3vve9GuOsOz5q1Kh48cUX47333ov3338/3n///SgtLa3z5wIAADQuBdlOAAAAgNz2y1/+MsaPHx9Tp06NyZMnx7BhwyqMDxo0KG699dbYZZddqo3Rs2fPOPbYY+Phhx+OcePGxbhx4yqMz507N7bbbrs6ew4AAEDjYyUZAAAAWdWyZct44YUX4qqrropdd901WrRoEW3atIl+/frFrbfeGs8991wUFRVtMM79998f1157bfTv3z/atm0beXle8gIAANVLJUmSZDsJAAAAAAAAqE/eVgcAAAAAAEDO0SQDAAAAAAAg52iSAQAAAAAAkHM0yQAAAAAAAMg5mmQAAAAAAADkHE0yAAAAAAAAco4mGQAAAAAAADlHkwwAAAAAAICco0kGAAAAAABAztEkAwAAAAAAIOdokgEAAAAAAJBzNMkAAAAAAADIOZpkAAAAAAAA5BxNMgAAAAAAAHKOJhkAAAAAAAA5R5MMAAAAAACAnKNJBgAAAAAAQM7RJAMAAAAAACDnaJIBAAAAAACQczTJAAAAAAAAyDmaZAAAAAAAAOQcTTIAAAAAAAByjiYZAAAAAAAAOUeTDAAAAAAAgJyjSQYAAAAAAEDO+f8B0tYXKCrbJssAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time = 28\n",
    "Xt, truth, truth_var = data.strength_data_by_time(time)\n",
    "truth = truth.squeeze()\n",
    "truth_std = truth_var.sqrt().squeeze()\n",
    "\n",
    "post_t = model.strength_model.posterior(Xt)\n",
    "pred = post_t.mean.detach().squeeze()\n",
    "pred_std = post_t.variance.sqrt().detach().squeeze()\n",
    "\n",
    "fig = plt.figure(dpi=200)\n",
    "plt.title(f\"Day-{time} Strength Calibration\")\n",
    "plt.ylabel(\"Prediction\")\n",
    "plt.xlabel(\"Truth\")\n",
    "plt.scatter(truth, pred)\n",
    "lw = 3\n",
    "plt.errorbar(truth, pred, yerr=2 * pred_std, fmt=\"o\", linewidth=lw)\n",
    "plt.errorbar(truth, pred, xerr=2 * truth_std, fmt=\"o\", linewidth=lw/2)\n",
    "line = torch.arange(truth.min(), truth.max())\n",
    "plt.plot(line, line, color=\"black\", linestyle=\":\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:53.177394Z",
     "iopub.status.busy": "2026-03-18T21:37:53.176778Z",
     "iopub.status.idle": "2026-03-18T21:37:53.181748Z",
     "shell.execute_reply": "2026-03-18T21:37:53.181328Z"
    },
    "executionStartTime": 1714009863048,
    "executionStopTime": 1714009863617,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "a3033f4c-54c9-4af8-a20e-8ba1996caa46",
    "outputsInitialized": true,
    "requestMsgId": "a3033f4c-54c9-4af8-a20e-8ba1996caa46",
    "serverExecutionDuration": 1.9750595092773,
    "showInput": true
   },
   "outputs": [],
   "source": [
    "# fig.savefig(\"28_day_strength_callibration_fourth_batch.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "customInput": null,
    "originalKey": "78164108-81dc-4f30-ad73-bfd093dffcfb",
    "outputsInitialized": false,
    "showInput": false
   },
   "source": [
    "## Strength Curve Predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:53.183692Z",
     "iopub.status.busy": "2026-03-18T21:37:53.183524Z",
     "iopub.status.idle": "2026-03-18T21:37:53.201839Z",
     "shell.execute_reply": "2026-03-18T21:37:53.200892Z"
    },
    "executionStartTime": 1714010010664,
    "executionStopTime": 1714010011166,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "6c33e854-1460-42e9-81b6-fb17e287a774",
    "output": {
     "id": "713307777423140",
     "loadingStatus": "before loading"
    },
    "outputsInitialized": true,
    "requestMsgId": "6c33e854-1460-42e9-81b6-fb17e287a774",
    "serverExecutionDuration": 14.225352555513,
    "showInput": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== mix tested ==\n",
      "  Cement (kg/m3): 210.0\n",
      "  Fly Ash (kg/m3): 110.0\n",
      "  Slag (kg/m3): 180.0\n",
      "  Water (kg/m3): 180.0\n",
      "  HRWR (kg/m3): 2.0\n",
      "  MRWR (kg/m3): 0.0\n",
      "  Fine Aggregate (kg/m3): 1400.0\n",
      "  Coarse Aggregates (kg/m3): 0.0\n",
      "  Material Source: 0.0\n",
      "  Temp (C): 22.0\n",
      "  w/b ratio: 0.360\n"
     ]
    }
   ],
   "source": [
    "## Example 1: Select a mix in the data set that we want to plot\n",
    "X = data.gwp_data[0]\n",
    "mix_ind = 21  # this selects which mix from the database we want to plot\n",
    "X_plot = X[[mix_ind]].clone()\n",
    "\n",
    "## Example 2: manually specify the composition\n",
    "manual_specify = True\n",
    "if manual_specify:\n",
    "    cols = data.X_columns[:-1]  # composition columns (without Time)\n",
    "    X_plot[0, cols.index(\"Cement (kg/m3)\")] = 210.0\n",
    "    X_plot[0, cols.index(\"Fly Ash (kg/m3)\")] = 110.0\n",
    "    X_plot[0, cols.index(\"Slag (kg/m3)\")] = 180.0\n",
    "    X_plot[0, cols.index(\"Water (kg/m3)\")] = 180.0\n",
    "    X_plot[0, cols.index(\"HRWR (kg/m3)\")] = 2.0\n",
    "    X_plot[0, cols.index(\"Fine Aggregate (kg/m3)\")] = 1400.0\n",
    "\n",
    "# Print the mix composition\n",
    "print(\"== mix tested ==\")\n",
    "for col in cols:\n",
    "    print(f\"  {col}: {X_plot[0, cols.index(col)].item():.1f}\")\n",
    "binder = sum(X_plot[0, cols.index(c)].item() for c in [\"Cement (kg/m3)\", \"Fly Ash (kg/m3)\", \"Slag (kg/m3)\"])\n",
    "if binder > 0:\n",
    "    print(f\"  w/b ratio: {X_plot[0, cols.index('Water (kg/m3)')].item() / binder:.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "customInput": null,
    "customOutput": null,
    "execution": {
     "iopub.execute_input": "2026-03-18T21:37:53.203325Z",
     "iopub.status.busy": "2026-03-18T21:37:53.203161Z",
     "iopub.status.idle": "2026-03-18T21:37:54.443115Z",
     "shell.execute_reply": "2026-03-18T21:37:54.442054Z"
    },
    "executionStartTime": 1714010015204,
    "executionStopTime": 1714010021316,
    "jupyter": {
     "outputs_hidden": false
    },
    "originalKey": "a6579d0f-a242-4ccf-be2d-1834a2a54787",
    "output": {
     "id": "1829917504195422",
     "loadingStatus": "before loading"
    },
    "outputsInitialized": true,
    "requestMsgId": "a6579d0f-a242-4ccf-be2d-1834a2a54787",
    "serverExecutionDuration": 783.41408073902,
    "showInput": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== mix tested ==\n",
      "  Cement (kg/m3): 210.0\n",
      "  Fly Ash (kg/m3): 110.0\n",
      "  Slag (kg/m3): 180.0\n",
      "  Water (kg/m3): 180.0\n",
      "  HRWR (kg/m3): 2.0\n",
      "  MRWR (kg/m3): 0.0\n",
      "  Fine Aggregate (kg/m3): 1400.0\n",
      "  Coarse Aggregates (kg/m3): 0.0\n",
      "  Material Source: 0.0\n",
      "  Temp (C): 22.0\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Run GWP and strength curve predictions\n",
    "gwp_pred = model.gwp_model.posterior(X_plot).mean\n",
    "\n",
    "t_start, t_stop = 0.2, 28.0\n",
    "num_t = 1024    # default value is 1024\n",
    "plot_times = torch.arange(t_start, t_stop, step=(t_stop - t_start) / num_t)\n",
    "\n",
    "#plot_times = torch.tensor([0.2, 0.3, 0.5, 0.8, 1.0, 2.0, 3.0, 5.0, 28.0])\n",
    "#num_t = plot_times.size(dim=0)\n",
    "\n",
    "# adding time dimension to composition inputs\n",
    "X_w_time = torch.cat(\n",
    "    (X_plot.expand(num_t, X_plot.shape[-1]), plot_times.unsqueeze(-1)), dim=-1\n",
    ")\n",
    "\n",
    "curve_post = model.strength_model.posterior(X_w_time)\n",
    "curve_mean = curve_post.mean.detach().squeeze()\n",
    "curve_std = curve_post.variance.sqrt().detach().squeeze()\n",
    "\n",
    "# print the mix composition\n",
    "cols = data.X_columns[:-1]\n",
    "print('== mix tested ==')\n",
    "for col in cols:\n",
    "    print(f'  {col}: {X_plot[0, cols.index(col)].item():.1f}')\n",
    "\n",
    "\n",
    "\n",
    "## Generate plot\n",
    "color_1 = \"green\"\n",
    "fig = plt.figure(dpi=150)\n",
    "plt.title(f\"Predicted Mix with GWP = {-gwp_pred.round(decimals=2).item()}\")\n",
    "plt.plot(plot_times, curve_mean, color=color_1)\n",
    "plt.ylabel(\"Strength\")\n",
    "plt.xlabel(\"Time (Days)\")\n",
    "nsigma = 2\n",
    "# plot uncertainties or not\n",
    "plot_uncertainties = 1;\n",
    "if plot_uncertainties == 1:\n",
    "    plt.fill_between(\n",
    "        plot_times,\n",
    "        curve_mean - nsigma * curve_std,\n",
    "        curve_mean + nsigma * curve_std,\n",
    "        alpha=0.2,\n",
    "        label=\"Predictions\",\n",
    "        color=color_1,\n",
    "    )\n",
    "\n",
    "# if the mix is in the dataset, could grab the observed strength data (\"observed_data\") from Y\n",
    "# plt.plot(observed_times, observed_data, \"o\", label=\"Observations\", c=color_1)\n",
    "plt.legend()\n",
    "\n",
    "plt.xscale(\"log\")\n",
    "special_times = [6 / 24, 1, 3, 5, 7, 14, 28]\n",
    "special_labels = [\n",
    "    \"6 hours\",\n",
    "    \"1 day\",\n",
    "    \"3 days\",\n",
    "    \"5 days\",\n",
    "    \"7 days\",\n",
    "    \"14 days\",\n",
    "    \"28 days\",\n",
    "]\n",
    "plt.xticks(special_times, special_labels, rotation=50)\n",
    "plt.grid(visible=True)\n",
    "\n",
    "xlim = (0.15, 30)\n",
    "ylim = (0, 12000)\n",
    "plt.xlim(xlim)\n",
    "plt.ylim(ylim)\n",
    "plt.show()"
   ]
  }
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