diff --git a/can_baybe-inhibitor.ipynb b/can_baybe-inhibitor.ipynb index 4e98bce..7132fe4 100644 --- a/can_baybe-inhibitor.ipynb +++ b/can_baybe-inhibitor.ipynb @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 297, "metadata": {}, "outputs": [ { @@ -68,16 +68,16 @@ " C(=O)(C(=O)[O-])[O-]\n", " 24.0\n", " 4.0\n", - " 1.000000e-03\n", + " 0.0010\n", " 0.10\n", - " 15.00\n", + " 20.00\n", " \n", " \n", " 1\n", " C(=O)(C(=O)[O-])[O-]\n", " 24.0\n", " 7.0\n", - " 5.000000e-04\n", + " 0.0005\n", " 0.05\n", " 12.35\n", " \n", @@ -86,27 +86,27 @@ " C(=O)(C(=O)[O-])[O-]\n", " 24.0\n", " 10.0\n", - " 1.000000e-03\n", + " 0.0010\n", " 0.10\n", - " 30.00\n", + " 20.00\n", " \n", " \n", " 3\n", " C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O\n", - " 0.0\n", - " 2.0\n", - " 5.000000e-07\n", - " 2.00\n", - " 53.85\n", + " 24.0\n", + " 4.0\n", + " 0.0010\n", + " 0.10\n", + " 30.00\n", " \n", " \n", " 4\n", " C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O\n", - " 0.0\n", - " 2.0\n", - " 1.000000e-06\n", - " 2.00\n", - " 58.55\n", + " 24.0\n", + " 7.0\n", + " 0.0005\n", + " 0.05\n", + " -23.95\n", " \n", " \n", " ...\n", @@ -118,86 +118,86 @@ " ...\n", " \n", " \n", - " 986\n", + " 510\n", " c1ccc2c(c1)[nH]nn2\n", " 24.0\n", " 7.0\n", - " 5.000000e-04\n", + " 0.0005\n", " 0.05\n", " 97.95\n", " \n", " \n", - " 987\n", + " 511\n", " c1ccc2c(c1)[nH]nn2\n", " 24.0\n", " 10.0\n", - " 1.000000e-03\n", + " 0.0010\n", " 0.10\n", - " 60.00\n", + " 90.00\n", " \n", " \n", - " 988\n", + " 512\n", " c1ccc2c(c1)[nH]nn2\n", " 672.0\n", " 7.0\n", - " 1.000000e-03\n", + " 0.0010\n", " 0.10\n", - " 95.00\n", + " 98.00\n", " \n", " \n", - " 989\n", + " 513\n", " c1ncn[nH]1\n", " 24.0\n", " 4.0\n", - " 1.000000e-03\n", + " 0.0010\n", " 0.10\n", - " 35.00\n", + " 30.00\n", " \n", " \n", - " 990\n", + " 514\n", " c1ncn[nH]1\n", " 24.0\n", " 10.0\n", - " 1.000000e-03\n", + " 0.0010\n", " 0.10\n", - " 50.00\n", + " 90.00\n", " \n", " \n", "\n", - "

991 rows × 6 columns

\n", + "

515 rows × 6 columns

\n", "" ], "text/plain": [ " SMILES Time_h pH Inhib_Concentrat_M \\\n", - "0 C(=O)(C(=O)[O-])[O-] 24.0 4.0 1.000000e-03 \n", - "1 C(=O)(C(=O)[O-])[O-] 24.0 7.0 5.000000e-04 \n", - "2 C(=O)(C(=O)[O-])[O-] 24.0 10.0 1.000000e-03 \n", - "3 C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O 0.0 2.0 5.000000e-07 \n", - "4 C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O 0.0 2.0 1.000000e-06 \n", + "0 C(=O)(C(=O)[O-])[O-] 24.0 4.0 0.0010 \n", + "1 C(=O)(C(=O)[O-])[O-] 24.0 7.0 0.0005 \n", + "2 C(=O)(C(=O)[O-])[O-] 24.0 10.0 0.0010 \n", + "3 C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O 24.0 4.0 0.0010 \n", + "4 C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O 24.0 7.0 0.0005 \n", ".. ... ... ... ... \n", - "986 c1ccc2c(c1)[nH]nn2 24.0 7.0 5.000000e-04 \n", - "987 c1ccc2c(c1)[nH]nn2 24.0 10.0 1.000000e-03 \n", - "988 c1ccc2c(c1)[nH]nn2 672.0 7.0 1.000000e-03 \n", - "989 c1ncn[nH]1 24.0 4.0 1.000000e-03 \n", - "990 c1ncn[nH]1 24.0 10.0 1.000000e-03 \n", + "510 c1ccc2c(c1)[nH]nn2 24.0 7.0 0.0005 \n", + "511 c1ccc2c(c1)[nH]nn2 24.0 10.0 0.0010 \n", + "512 c1ccc2c(c1)[nH]nn2 672.0 7.0 0.0010 \n", + "513 c1ncn[nH]1 24.0 4.0 0.0010 \n", + "514 c1ncn[nH]1 24.0 10.0 0.0010 \n", "\n", " Salt_Concentrat_M Efficiency \n", - "0 0.10 15.00 \n", + "0 0.10 20.00 \n", "1 0.05 12.35 \n", - "2 0.10 30.00 \n", - "3 2.00 53.85 \n", - "4 2.00 58.55 \n", + "2 0.10 20.00 \n", + "3 0.10 30.00 \n", + "4 0.05 -23.95 \n", ".. ... ... \n", - "986 0.05 97.95 \n", - "987 0.10 60.00 \n", - "988 0.10 95.00 \n", - "989 0.10 35.00 \n", - "990 0.10 50.00 \n", + "510 0.05 97.95 \n", + "511 0.10 90.00 \n", + "512 0.10 98.00 \n", + "513 0.10 30.00 \n", + "514 0.10 90.00 \n", "\n", - "[991 rows x 6 columns]" + "[515 rows x 6 columns]" ] }, - "execution_count": 164, + "execution_count": 297, "metadata": {}, "output_type": "execute_result" } @@ -225,7 +225,7 @@ "df_Al = pd.read_excel('data/averaged_filtered_Al.xlsx')\n", "\n", "# change this for campaigns on different datasets\n", - "df_active = df_Al\n", + "df_active = df_AA2024\n", "\n", "\n", "if df_active is df_AA2024:\n", @@ -246,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 298, "metadata": {}, "outputs": [], "source": [ @@ -255,7 +255,7 @@ }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 299, "metadata": {}, "outputs": [], "source": [ @@ -270,7 +270,7 @@ }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 300, "metadata": {}, "outputs": [], "source": [ @@ -338,40 +338,9 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 301, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "________________________________________________________________________________\n", - "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n", - "_smiles_to_mordred_features('C1=CC(=C(C=C1C2=C(C(=O)C3=C(C=C(C=C3O2)O)O)O)O)O')\n", - "_______________________________________smiles_to_mordred_features - 0.3s, 0.0min\n", - "________________________________________________________________________________\n", - "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n", - "_smiles_to_mordred_features('C1=CC=C(C=C1)C(=O)SC(=N)N')\n", - "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n", - "________________________________________________________________________________\n", - "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n", - "_smiles_to_mordred_features('C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)C')\n", - "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n", - "________________________________________________________________________________\n", - "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n", - "_smiles_to_mordred_features('C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)OC')\n", - "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n", - "________________________________________________________________________________\n", - "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n", - "_smiles_to_mordred_features('N=C(NC1=CC=C(C=C1)Br)SC(O)C2=CC=CC=C2')\n", - "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n", - "________________________________________________________________________________\n", - "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n", - "_smiles_to_mordred_features('N=C(NC1=CC=C(C=C1)Cl)SC(O)C2=CC=CC=C2')\n", - "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n" - ] - } - ], + "outputs": [], "source": [ "df_no_target = lookup.drop('Efficiency', axis=1)\n", "\n", @@ -388,7 +357,7 @@ "\n", "searchspace_rdkit = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters_rdkit)\n", "\n", - "searchspace_ohe = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters_rdkit)\n", + "searchspace_ohe = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters_ohe)\n", "\n", "\n", "objective = Objective(\n", @@ -398,24 +367,24 @@ }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 302, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "SearchSpace(discrete=SubspaceDiscrete(parameters=[NumericalDiscreteParameter(name='Time_h', encoding=None, _values=[0.0, 0.25, 0.33, 0.5, 0.58, 0.67, 0.75, 1.0, 1.5, 1.67, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 8.0, 10.0, 24.0, 48.0, 72.0, 96.0, 120.0, 144.0, 168.0, 192.0, 240.0, 288.0, 336.0, 360.0, 384.0, 432.0, 480.0, 528.0, 576.0, 600.0, 624.0, 672.0, 720.0], tolerance=0.0), NumericalDiscreteParameter(name='pH', encoding=None, _values=[-0.6, -0.4771212547196624, -0.3979400086720376, -0.3010299956639812, -0.3, -0.1760912590556812, -0.1367205671564068, 0.0, 0.3, 0.45, 0.7, 1.0, 1.7, 2.0, 3.3, 4.0, 4.4, 4.6, 5.4, 5.5, 5.6, 7.0, 7.6, 10.0, 11.0, 13.0, 13.7, 14.30102999566398], tolerance=0.0), NumericalDiscreteParameter(name='Inhib_Concentrat_M', encoding=None, _values=[1e-07, 5e-07, 1e-06, 2e-06, 4e-06, 5e-06, 6e-06, 8e-06, 8.271845945141117e-06, 1e-05, 1.2e-05, 1.5e-05, 1.654369189028223e-05, 2e-05, 2.481553783542335e-05, 3e-05, 3.308738378056447e-05, 4e-05, 4.135922972570559e-05, 5e-05, 6e-05, 7e-05, 8e-05, 8.271845945141118e-05, 0.0001, 0.00015, 0.0001958863858961802, 0.0002, 0.00021, 0.0003, 0.0003566333808844508, 0.0003917727717923605, 0.0004, 0.00042, 0.0005, 0.0005876591576885406, 0.0006, 0.0007, 0.0007132667617689017, 0.0007835455435847209, 0.0008, 0.00084, 0.0009, 0.0009794319294809011, 0.001, 0.0011, 0.0012, 0.0013, 0.0014, 0.0015, 0.0016, 0.001783166904422254, 0.0018, 0.0019, 0.002, 0.002139800285306705, 0.0024, 0.0025, 0.0026, 0.003, 0.0032, 0.003566333808844508, 0.0039, 0.004, 0.0042, 0.00427960057061341, 0.0045, 0.005, 0.0053, 0.005706134094151214, 0.0065, 0.007, 0.0075, 0.0085, 0.009, 0.01, 0.011, 0.015, 0.02, 0.021, 0.022, 0.025, 0.031, 0.033, 0.04, 0.042, 0.044, 0.05, 0.06, 0.08, 0.1, 0.66, 1.32, 1.97, 2.63, 3.28], tolerance=0.0), NumericalDiscreteParameter(name='Salt_Concentrat_M', encoding=None, _values=[0.0, 0.01, 0.05, 0.1, 0.5, 0.6, 1.0, 2.0], tolerance=0.0), SubstanceParameter(name='SMILES', data={'C(=O)(C(=O)[O-])[O-]': 'C(=O)(C(=O)[O-])[O-]', 'C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O': 'C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O', 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Fe+2]': 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Fe+2]', 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Zn+2]': 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Zn+2]', 'C(C(CO)([N+](=O)[O-])Br)O': 'C(C(CO)([N+](=O)[O-])Br)O', 'C(CC=O)CC=O': 'C(CC=O)CC=O', 'C1=CC(=C(C(=C1)C=NC2=CC=C(C=C2)N=CC3=CC=CC(=C3O)OC)O)OC': 'C1=CC(=C(C(=C1)C=NC2=CC=C(C=C2)N=CC3=CC=CC(=C3O)OC)O)OC', 'C1=CC(=C(C=C1C2=C(C(=O)C3=C(C=C(C=C3O2)O)O)O)O)O': 'C1=CC(=C(C=C1C2=C(C(=O)C3=C(C=C(C=C3O2)O)O)O)O)O', 'C1=CC(=C(C=C1Cl)Cl)COC(CN2C=CN=C2)C3=C(C=C(C=C3)Cl)Cl.[N+](=O)(O)[O-]': 'C1=CC(=C(C=C1Cl)Cl)COC(CN2C=CN=C2)C3=C(C=C(C=C3)Cl)Cl.[N+](=O)(O)[O-]', 'C1=CC(=C(C=C1F)F)C(CN2C=NC=N2)(CN3C=NC=N3)O': 'C1=CC(=C(C=C1F)F)C(CN2C=NC=N2)(CN3C=NC=N3)O', 'C1=CC(=C(C=C1O)O)C=NNC(=S)N': 'C1=CC(=C(C=C1O)O)C=NNC(=S)N', 'C1=CC(=C(C=C1SSC2=CC(=C(C=C2)[N+](=O)[O-])C(=O)O)C(=O)O)[N+](=O)[O-]': 'C1=CC(=C(C=C1SSC2=CC(=C(C=C2)[N+](=O)[O-])C(=O)O)C(=O)O)[N+](=O)[O-]', 'C1=CC(=CC(=C1)O)O': 'C1=CC(=CC(=C1)O)O', 'C1=CC(=CC(=C1)S)C(=O)O': 'C1=CC(=CC(=C1)S)C(=O)O', 'C1=CC(=CC=C1O)O': 'C1=CC(=CC=C1O)O', 'C1=CC(=CN=C1)C(=O)NN': 'C1=CC(=CN=C1)C(=O)NN', 'C1=CC(=CN=C1)C=NNC(=S)N': 'C1=CC(=CN=C1)C=NNC(=S)N', 'C1=CC(=NC(=C1)N)N': 'C1=CC(=NC(=C1)N)N', 'C1=CC2=NNN=C2C=C1Cl': 'C1=CC2=NNN=C2C=C1Cl', 'C1=CC=C(C(=C1)C=NC2=CC=C(C=C2)N=CC3=CC=CC=C3O)O': 'C1=CC=C(C(=C1)C=NC2=CC=C(C=C2)N=CC3=CC=CC=C3O)O', 'C1=CC=C(C(=C1)C=NNC(=S)N)O': 'C1=CC=C(C(=C1)C=NNC(=S)N)O', 'C1=CC=C(C(=C1)O)O': 'C1=CC=C(C(=C1)O)O', 'C1=CC=C(C=C1)C(=O)SC(=N)N': 'C1=CC=C(C=C1)C(=O)SC(=N)N', 'C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)C': 'C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)C', 'C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)OC': 'C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)OC', 'C1=CC=C(C=C1)C(C2=CC=CC=C2)(C3=CC=CC=C3Cl)N4C=CN=C4': 'C1=CC=C(C=C1)C(C2=CC=CC=C2)(C3=CC=CC=C3Cl)N4C=CN=C4', 'C1=CC=NC(=C1)C=NNC(=S)N': 'C1=CC=NC(=C1)C=NNC(=S)N', 'C1=CN=C(C=N1)C(=O)N': 'C1=CN=C(C=N1)C(=O)N', 'C1=CN=C(N=C1)N': 'C1=CN=C(N=C1)N', 'C1=CN=CC=C1C=NNC(=S)N': 'C1=CN=CC=C1C=NNC(=S)N', 'C1CCC(=NO)CC1': 'C1CCC(=NO)CC1', 'C1COCCN1CCCS(=O)(=O)O': 'C1COCCN1CCCS(=O)(=O)O', 'C1N2CN3CN1CN(C2)C3': 'C1N2CN3CN1CN(C2)C3', 'C=CC(=O)OCCOC(=O)OCCSc1ncccn1': 'C=CC(=O)OCCOC(=O)OCCSc1ncccn1', 'C=CC1=C(N2C(C(C2=O)NC(=O)C(=NOCC(=O)O)C3=CSC(=N3)N)SC1)C(=O)O': 'C=CC1=C(N2C(C(C2=O)NC(=O)C(=NOCC(=O)O)C3=CSC(=N3)N)SC1)C(=O)O', 'C=CCN(CC=C)C1=NC(=NC(=N1)S)S[Na]': 'C=CCN(CC=C)C1=NC(=NC(=N1)S)S[Na]', 'CC(=NO)C': 'CC(=NO)C', 'CC(=O)O': 'CC(=O)O', 'CC(=O)SSC(=O)C': 'CC(=O)SSC(=O)C', 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10.0], tolerance=0.0), NumericalDiscreteParameter(name='Inhib_Concentrat_M', encoding=None, _values=[1e-05, 5e-05, 0.0001, 0.0002, 0.0003, 0.0004, 0.0005, 0.0006, 0.0008, 0.001, 0.0012, 0.0018, 0.0024, 0.003, 0.005, 0.01, 0.011, 0.021, 0.022, 0.031, 0.033, 0.042, 0.044, 0.05, 0.1], tolerance=0.0), NumericalDiscreteParameter(name='Salt_Concentrat_M', encoding=None, _values=[0.0, 0.01, 0.05, 0.1, 0.5, 0.6], tolerance=0.0), SubstanceParameter(name='SMILES', data={'C(=O)(C(=O)[O-])[O-]': 'C(=O)(C(=O)[O-])[O-]', 'C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O': 'C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O', 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Fe+2]': 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Fe+2]', 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Zn+2]': 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Zn+2]', 'C1=CC(=C(C=C1O)O)C=NNC(=S)N': 'C1=CC(=C(C=C1O)O)C=NNC(=S)N', 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'CCCCCCCCCCCCc1ccccc1S([O])([O])O': 'CCCCCCCCCCCCc1ccccc1S([O])([O])O', 'CCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]': 'CCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]', 'CCCCN(CCCC)C1=NC(=NC(=N1)NC(CCSC)C(=O)O)NC(CCSC)C(=O)O': 'CCCCN(CCCC)C1=NC(=NC(=N1)NC(CCSC)C(=O)O)NC(CCSC)C(=O)O', 'CCCCOP(=O)(OCCCC)O': 'CCCCOP(=O)(OCCCC)O', 'CCN(C(=S)S)CC': 'CCN(C(=S)S)CC', 'CCOc1ccc2c(c1)nc([nH]2)S': 'CCOc1ccc2c(c1)nc([nH]2)S', 'CCSc1nnc(s1)N': 'CCSc1nnc(s1)N', 'CN1C=NC2=C1C(=O)N(C(=O)N2C)C': 'CN1C=NC2=C1C(=O)N(C(=O)N2C)C', 'CNCC(C1=CC(=CC=C1)O)O': 'CNCC(C1=CC(=CC=C1)O)O', 'COC(=O)CCCC1=CNC2=CC=CC=C21': 'COC(=O)CCCC1=CNC2=CC=CC=C21', 'COC(=O)n1nnc2ccccc12': 'COC(=O)n1nnc2ccccc12', 'COCCOC(=O)OCSc1nc2c(s1)cccc2': 'COCCOC(=O)OCSc1nc2c(s1)cccc2', 'COc1ccc2c(c1)[nH]c(=S)[nH]2': 'COc1ccc2c(c1)[nH]c(=S)[nH]2', 'COc1cccc(c1)c1n[nH]c(=S)[nH]1': 'COc1cccc(c1)c1n[nH]c(=S)[nH]1', 'CS[C]1N[N]C(=N1)N': 'CS[C]1N[N]C(=N1)N', 'CSc1[nH]c2c(n1)cc(c(c2)C)C': 'CSc1[nH]c2c(n1)cc(c(c2)C)C', 'CSc1nnc(s1)N': 'CSc1nnc(s1)N', 'Cc1cc(C)nc(n1)S': 'Cc1cc(C)nc(n1)S', 'Cc1ccc(c(c1)n1nc2c(n1)cccc2)O': 'Cc1ccc(c(c1)n1nc2c(n1)cccc2)O', 'Cc1ccc2c(c1)nc([nH]2)S': 'Cc1ccc2c(c1)nc([nH]2)S', 'Cc1n[nH]c(=S)s1': 'Cc1n[nH]c(=S)s1', 'Cc1nsc(c1)N': 'Cc1nsc(c1)N', 'ClC([C]1N[N]C=N1)(Cl)Cl': 'ClC([C]1N[N]C=N1)(Cl)Cl', 'Clc1cc2[nH]c(=S)[nH]c2cc1Cl': 'Clc1cc2[nH]c(=S)[nH]c2cc1Cl', 'Clc1ccc(cc1)CC[C@](C(C)(C)C)(Cn1cncn1)O': 'Clc1ccc(cc1)CC[C@](C(C)(C)C)(Cn1cncn1)O', 'Clc1ccc(cc1Cl)c1n[nH]c(=S)[nH]1': 'Clc1ccc(cc1Cl)c1n[nH]c(=S)[nH]1', 'Clc1ccc2c(c1)[nH]c(n2)S': 'Clc1ccc2c(c1)[nH]c(n2)S', 'Clc1cccc(c1)c1n[nH]c(=S)[nH]1': 'Clc1cccc(c1)c1n[nH]c(=S)[nH]1', 'Cn1cnnc1S': 'Cn1cnnc1S', 'Cn1nnnc1S': 'Cn1nnnc1S', 'N.N.[N+](=O)(O)[O-].[N+](=O)(O)[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].O.O.O.O.[Ce+3]': 'N.N.[N+](=O)(O)[O-].[N+](=O)(O)[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].O.O.O.O.[Ce+3]', 'NC(=S)NN=CC1=C(C(=C(C=C1)O)O)O': 'NC(=S)NN=CC1=C(C(=C(C=C1)O)O)O', 'NCC(=O)O': 'NCC(=O)O', 'NO': 'NO', 'Nc1cc(N)nc(n1)S': 'Nc1cc(N)nc(n1)S', 'Nc1cc(S)nc(n1)N': 'Nc1cc(S)nc(n1)N', 'Nc1ccc2c(c1)sc(=S)[nH]2': 'Nc1ccc2c(c1)sc(=S)[nH]2', 'Nc1ccnc(n1)S': 'Nc1ccnc(n1)S', 'Nc1n[nH]c(=S)s1': 'Nc1n[nH]c(=S)s1', 'Nc1n[nH]c(n1)S': 'Nc1n[nH]c(n1)S', 'Nc1n[nH]cn1': 'Nc1n[nH]cn1', 'Nc1nc([nH]n1)C(=O)O': 'Nc1nc([nH]n1)C(=O)O', 'Nc1ncncc1N': 'Nc1ncncc1N', 'Nn1c(NN)nnc1S': 'Nn1c(NN)nnc1S', 'Nn1c(S)nnc1c1ccccc1': 'Nn1c(S)nnc1c1ccccc1', 'Nn1cnnc1': 'Nn1cnnc1', 'O/N=C(/C(=N/O)/C)\\\\C': 'O/N=C(/C(=N/O)/C)\\\\C', 'O/N=C(\\\\C(=N/O)\\\\c1ccco1)/c1ccco1': 'O/N=C(\\\\C(=N/O)\\\\c1ccco1)/c1ccco1', 'O=C([O-])C(O)C(O)C(O)C(O)CO.[Na+]': 'O=C([O-])C(O)C(O)C(O)C(O)CO.[Na+]', 'OC(=O)/C=C/c1ccccc1': 'OC(=O)/C=C/c1ccccc1', 'OC(=O)CCCCC(=O)O': 'OC(=O)CCCCC(=O)O', 'OC(=O)CCCCCCCCCCCCCCC(=O)O': 'OC(=O)CCCCCCCCCCCCCCC(=O)O', 'OC(=O)CCS': 'OC(=O)CCS', 'OC(=O)CN(CC(=O)O)CCN(CC(=O)O)CC(=O)O': 'OC(=O)CN(CC(=O)O)CCN(CC(=O)O)CC(=O)O', 'OC(=O)CS': 'OC(=O)CS', 'OC(=O)Cn1nnnc1S': 'OC(=O)Cn1nnnc1S', 'OC(=O)c1ccc(=S)[nH]c1': 'OC(=O)c1ccc(=S)[nH]c1', 'OC(=O)c1ccc(cc1)N': 'OC(=O)c1ccc(cc1)N', 'OC(=O)c1ccc(cc1)S': 'OC(=O)c1ccc(cc1)S', 'OC(=O)c1ccc(cc1)c1ccccc1': 'OC(=O)c1ccc(cc1)c1ccccc1', 'OC(=O)c1ccccc1': 'OC(=O)c1ccccc1', 'OC(=O)c1ccccc1O': 'OC(=O)c1ccccc1O', 'OC(=O)c1ccccc1S': 'OC(=O)c1ccccc1S', 'OC(=O)c1ccccn1': 'OC(=O)c1ccccn1', 'OC(=O)c1cccnc1': 'OC(=O)c1cccnc1', 'OC(=O)c1cccnc1S': 'OC(=O)c1cccnc1S', 'OC(=O)c1ccncc1': 'OC(=O)c1ccncc1', 'OC(=O)c1n[nH]c(n1)N': 'OC(=O)c1n[nH]c(n1)N', 'OCC(CO)O': 'OCC(CO)O', 'OC[C@H]([C@H]([C@@H]([C@@H](CO)O)O)O)O': 'OC[C@H]([C@H]([C@@H]([C@@H](CO)O)O)O)O', 'OC[C@H]([C@H]([C@@H]([C@H](C(=O)O)O)O)O)O': 'OC[C@H]([C@H]([C@@H]([C@H](C(=O)O)O)O)O)O', 'OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O': 'OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O', 'O[C@H]1C(=O)OCC1(C)C': 'O[C@H]1C(=O)OCC1(C)C', 'Oc1ccc(cc1)C(=O)O': 'Oc1ccc(cc1)C(=O)O', 'Oc1ccc(cc1)S([O])([O])O': 'Oc1ccc(cc1)S([O])([O])O', 'Oc1cccc2c1nccc2': 'Oc1cccc2c1nccc2', 'Oc1ccccc1c1nnc([nH]1)S': 'Oc1ccccc1c1nnc([nH]1)S', 'On1nnc2c1cccc2': 'On1nnc2c1cccc2', 'S=c1[nH]c2c([nH]1)c(=O)n(cn2)C': 'S=c1[nH]c2c([nH]1)c(=O)n(cn2)C', 'S=c1[nH]c2c([nH]1)cncn2': 'S=c1[nH]c2c([nH]1)cncn2', 'S=c1[nH]c2c([nH]1)nccn2': 'S=c1[nH]c2c([nH]1)nccn2', 'S=c1[nH]nc([nH]1)c1cccnc1': 'S=c1[nH]nc([nH]1)c1cccnc1', 'S=c1[nH]nc([nH]1)c1ccco1': 'S=c1[nH]nc([nH]1)c1ccco1', 'S=c1[nH]nc([nH]1)c1ccncc1': 'S=c1[nH]nc([nH]1)c1ccncc1', 'S=c1sc2c([nH]1)cccc2': 'S=c1sc2c([nH]1)cccc2', 'SC#N': 'SC#N', 'S[C]1NC2=C[CH]C=NC2=N1': 'S[C]1NC2=C[CH]C=NC2=N1', 'Sc1n[nH]cn1': 'Sc1n[nH]cn1', 'Sc1nc(N)c(c(n1)S)N': 'Sc1nc(N)c(c(n1)S)N', 'Sc1nc(N)c2c(n1)[nH]nc2': 'Sc1nc(N)c2c(n1)[nH]nc2', 'Sc1nc2c([nH]1)cccc2': 'Sc1nc2c([nH]1)cccc2', 'Sc1ncc[nH]1': 'Sc1ncc[nH]1', 'Sc1ncccn1': 'Sc1ncccn1', 'Sc1nnc(s1)S': 'Sc1nnc(s1)S', '[Cl-].[Cl-].[Cl-].[Ce+3]': '[Cl-].[Cl-].[Cl-].[Ce+3]', '[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+3]': '[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+3]', '[NH4+].[NH4+].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+4]': '[NH4+].[NH4+].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+4]', '[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[Ce+3].[Ce+3]': '[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[Ce+3].[Ce+3]', '[O-]S(=O)[O-].[Na+].[Na+]': '[O-]S(=O)[O-].[Na+].[Na+]', 'c1cc(ccc1c2[nH]c(nn2)S)[N+](=O)[O-]': 'c1cc(ccc1c2[nH]c(nn2)S)[N+](=O)[O-]', 'c1ccc(nc1)c1ccccn1': 'c1ccc(nc1)c1ccccn1', 'c1ccc2c(c1)[nH]nn2': 'c1ccc2c(c1)[nH]nn2', 'c1ncn[nH]1': 'c1ncn[nH]1'}, decorrelate=0.7, encoding=)], exp_rep= Time_h pH Inhib_Concentrat_M Salt_Concentrat_M \\\n", + "0 24.0 4.0 0.0010 0.10 \n", + "1 24.0 7.0 0.0005 0.05 \n", + "2 24.0 10.0 0.0010 0.10 \n", + "3 24.0 4.0 0.0010 0.10 \n", + "4 24.0 7.0 0.0005 0.05 \n", ".. ... ... ... ... \n", - "986 24.0 7.0 5.000000e-04 0.05 \n", - "987 24.0 10.0 1.000000e-03 0.10 \n", - "988 672.0 7.0 1.000000e-03 0.10 \n", - "989 24.0 4.0 1.000000e-03 0.10 \n", - "990 24.0 10.0 1.000000e-03 0.10 \n", + "510 24.0 7.0 0.0005 0.05 \n", + "511 24.0 10.0 0.0010 0.10 \n", + "512 672.0 7.0 0.0010 0.10 \n", + "513 24.0 4.0 0.0010 0.10 \n", + "514 24.0 10.0 0.0010 0.10 \n", "\n", " SMILES \n", "0 C(=O)(C(=O)[O-])[O-] \n", @@ -424,37 +393,37 @@ "3 C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O \n", "4 C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O \n", ".. ... \n", - "986 c1ccc2c(c1)[nH]nn2 \n", - "987 c1ccc2c(c1)[nH]nn2 \n", - "988 c1ccc2c(c1)[nH]nn2 \n", - "989 c1ncn[nH]1 \n", - "990 c1ncn[nH]1 \n", + "510 c1ccc2c(c1)[nH]nn2 \n", + "511 c1ccc2c(c1)[nH]nn2 \n", + "512 c1ccc2c(c1)[nH]nn2 \n", + "513 c1ncn[nH]1 \n", + "514 c1ncn[nH]1 \n", "\n", - "[991 rows x 5 columns], metadata= was_recommended was_measured dont_recommend\n", + "[515 rows x 5 columns], metadata= was_recommended was_measured dont_recommend\n", "0 False False False\n", "1 False False False\n", "2 False False False\n", "3 False False False\n", "4 False False False\n", ".. ... ... ...\n", - "986 False False False\n", - "987 False False False\n", - "988 False False False\n", - "989 False False False\n", - "990 False False False\n", + "510 False False False\n", + "511 False False False\n", + "512 False False False\n", + "513 False False False\n", + "514 False False False\n", "\n", - "[991 rows x 3 columns], empty_encoding=False, constraints=[], comp_rep= Time_h pH Inhib_Concentrat_M Salt_Concentrat_M \\\n", - "0 24.0 4.0 1.000000e-03 0.10 \n", - "1 24.0 7.0 5.000000e-04 0.05 \n", - "2 24.0 10.0 1.000000e-03 0.10 \n", - "3 0.0 2.0 5.000000e-07 2.00 \n", - "4 0.0 2.0 1.000000e-06 2.00 \n", + "[515 rows x 3 columns], empty_encoding=False, constraints=[], comp_rep= Time_h pH Inhib_Concentrat_M Salt_Concentrat_M \\\n", + "0 24.0 4.0 0.0010 0.10 \n", + "1 24.0 7.0 0.0005 0.05 \n", + "2 24.0 10.0 0.0010 0.10 \n", + "3 24.0 4.0 0.0010 0.10 \n", + "4 24.0 7.0 0.0005 0.05 \n", ".. ... ... ... ... \n", - "986 24.0 7.0 5.000000e-04 0.05 \n", - "987 24.0 10.0 1.000000e-03 0.10 \n", - "988 672.0 7.0 1.000000e-03 0.10 \n", - "989 24.0 4.0 1.000000e-03 0.10 \n", - "990 24.0 10.0 1.000000e-03 0.10 \n", + "510 24.0 7.0 0.0005 0.05 \n", + "511 24.0 10.0 0.0010 0.10 \n", + "512 672.0 7.0 0.0010 0.10 \n", + "513 24.0 4.0 0.0010 0.10 \n", + "514 24.0 10.0 0.0010 0.10 \n", "\n", " SMILES_RDKIT_MaxAbsEStateIndex SMILES_RDKIT_MinAbsEStateIndex \\\n", "0 8.925926 2.185185 \n", @@ -463,11 +432,11 @@ "3 10.148889 1.357824 \n", "4 10.148889 1.357824 \n", ".. ... ... \n", - "986 3.813148 0.914352 \n", - "987 3.813148 0.914352 \n", - "988 3.813148 0.914352 \n", - "989 3.555556 1.444444 \n", - "990 3.555556 1.444444 \n", + "510 3.813148 0.914352 \n", + "511 3.813148 0.914352 \n", + "512 3.813148 0.914352 \n", + "513 3.555556 1.444444 \n", + "514 3.555556 1.444444 \n", "\n", " SMILES_RDKIT_MinEStateIndex SMILES_RDKIT_qed SMILES_RDKIT_SPS \\\n", "0 -2.185185 0.287408 7.333333 \n", @@ -476,50 +445,50 @@ "3 -2.974537 0.454904 10.846154 \n", "4 -2.974537 0.454904 10.846154 \n", ".. ... ... ... \n", - "986 0.914352 0.560736 10.222222 \n", - "987 0.914352 0.560736 10.222222 \n", - "988 0.914352 0.560736 10.222222 \n", - "989 1.444444 0.458207 8.000000 \n", - "990 1.444444 0.458207 8.000000 \n", + "510 0.914352 0.560736 10.222222 \n", + "511 0.914352 0.560736 10.222222 \n", + "512 0.914352 0.560736 10.222222 \n", + "513 1.444444 0.458207 8.000000 \n", + "514 1.444444 0.458207 8.000000 \n", "\n", - " SMILES_RDKIT_MolWt ... SMILES_RDKIT_fr_nitro_arom_nonortho \\\n", - "0 88.018 ... 0 \n", - "1 88.018 ... 0 \n", - "2 88.018 ... 0 \n", - "3 189.099 ... 0 \n", - "4 189.099 ... 0 \n", - ".. ... ... ... \n", - "986 119.127 ... 0 \n", - "987 119.127 ... 0 \n", - "988 119.127 ... 0 \n", - "989 69.067 ... 0 \n", - "990 69.067 ... 0 \n", + " SMILES_RDKIT_MolWt ... SMILES_RDKIT_fr_nitro \\\n", + "0 88.018 ... 0 \n", + "1 88.018 ... 0 \n", + "2 88.018 ... 0 \n", + "3 189.099 ... 0 \n", + "4 189.099 ... 0 \n", + ".. ... ... ... \n", + "510 119.127 ... 0 \n", + "511 119.127 ... 0 \n", + "512 119.127 ... 0 \n", + "513 69.067 ... 0 \n", + "514 69.067 ... 0 \n", "\n", - " SMILES_RDKIT_fr_oxime SMILES_RDKIT_fr_para_hydroxylation \\\n", - "0 0 0 \n", - "1 0 0 \n", - "2 0 0 \n", - "3 0 0 \n", - "4 0 0 \n", - ".. ... ... \n", - "986 0 1 \n", - "987 0 1 \n", - "988 0 1 \n", - "989 0 0 \n", - "990 0 0 \n", + " SMILES_RDKIT_fr_nitro_arom_nonortho SMILES_RDKIT_fr_oxime \\\n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + ".. ... ... \n", + "510 0 0 \n", + "511 0 0 \n", + "512 0 0 \n", + "513 0 0 \n", + "514 0 0 \n", "\n", - " SMILES_RDKIT_fr_phos_acid SMILES_RDKIT_fr_priamide \\\n", - "0 0 0 \n", - "1 0 0 \n", - "2 0 0 \n", - "3 0 0 \n", - "4 0 0 \n", - ".. ... ... \n", - "986 0 0 \n", - "987 0 0 \n", - "988 0 0 \n", - "989 0 0 \n", - "990 0 0 \n", + " SMILES_RDKIT_fr_para_hydroxylation SMILES_RDKIT_fr_phos_acid \\\n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + ".. ... ... \n", + "510 1 0 \n", + "511 1 0 \n", + "512 1 0 \n", + "513 0 0 \n", + "514 0 0 \n", "\n", " SMILES_RDKIT_fr_pyridine SMILES_RDKIT_fr_quatN SMILES_RDKIT_fr_sulfide \\\n", "0 0 0 0 \n", @@ -528,11 +497,11 @@ "3 0 0 0 \n", "4 0 0 0 \n", ".. ... ... ... \n", - "986 0 0 0 \n", - "987 0 0 0 \n", - "988 0 0 0 \n", - "989 0 0 0 \n", - "990 0 0 0 \n", + "510 0 0 0 \n", + "511 0 0 0 \n", + "512 0 0 0 \n", + "513 0 0 0 \n", + "514 0 0 0 \n", "\n", " SMILES_RDKIT_fr_tetrazole SMILES_RDKIT_fr_thiazole \n", "0 0 0 \n", @@ -541,16 +510,16 @@ "3 0 0 \n", "4 0 0 \n", ".. ... ... \n", - "986 0 0 \n", - "987 0 0 \n", - "988 0 0 \n", - "989 0 0 \n", - "990 0 0 \n", + "510 0 0 \n", + "511 0 0 \n", + "512 0 0 \n", + "513 0 0 \n", + "514 0 0 \n", "\n", - "[991 rows x 99 columns]), continuous=SubspaceContinuous(parameters=[], constraints_lin_eq=[], constraints_lin_ineq=[]))" + "[515 rows x 94 columns]), continuous=SubspaceContinuous(parameters=[], constraints_lin_eq=[], constraints_lin_ineq=[]))" ] }, - "execution_count": 169, + "execution_count": 302, "metadata": {}, "output_type": "execute_result" } @@ -561,7 +530,7 @@ }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 303, "metadata": {}, "outputs": [], "source": [ @@ -589,7 +558,7 @@ }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 304, "metadata": {}, "outputs": [], "source": [ @@ -603,53 +572,50 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 305, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/50 [00:00" + "
" ] }, "metadata": {}, @@ -832,32 +810,59 @@ } ], "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", "max_yield = lookup[\"Efficiency\"].max()\n", - "# plot_results = results[results['Scenario'].isin(['Mordred', 'Morgan', 'RDKIT'])]\n", "\n", "# until 10\n", "limit = 10\n", + "\n", + "# Create a figure and axis object\n", + "fig, ax1 = plt.subplots()\n", + "\n", + "# Plot the lineplot\n", "sns.lineplot(\n", - " data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\"\n", + " data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\", ax=ax1, style = 'Scenario'\n", ")\n", - "plt.plot([0.5, limit+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n", - "plt.legend(loc=\"lower right\")\n", - "import matplotlib.pyplot as plt\n", "\n", - "plt.xlim(0, limit+1)\n", - "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch_first10.png\")" + "# Set legend\n", + "ax1.legend(loc=\"lower right\")\n", + "\n", + "# Add a horizontal line\n", + "ax1.plot([0.5, limit+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n", + "\n", + "# Set x-axis limit\n", + "ax1.set_xlim(0, limit+1)\n", + "ax1.set_ylim(50, 101)\n", + "\n", + "# Create a new axis for the histogram on the right side\n", + "ax2 = fig.add_axes([0.905, 0.1, 0.05, 0.8])\n", + "ax2.hist(df_active['Efficiency'], bins=2000, color='orange', alpha=0.5, orientation='horizontal') \n", + "ax2.set_ylim(ax1.get_ylim()) \n", + "ax2.set_axis_off() # Hide axis ticks and labels\n", + "\n", + "# Set x and y titles\n", + "ax1.set_xlabel('Number of Experiments')\n", + "ax1.set_ylabel('Cumulative Best Efficiency')\n", + "\n", + "# Save the plot\n", + "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch_first{limit}.png\", bbox_inches='tight')\n", + "\n", + "# Show the plot\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 314, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, "metadata": {}, @@ -868,27 +873,51 @@ "# until 25\n", "limit = 25\n", "\n", + "# Create a figure and axis object\n", + "fig, ax1 = plt.subplots()\n", + "\n", + "# Plot the lineplot\n", "sns.lineplot(\n", - " data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\"\n", + " data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\", ax=ax1, style = 'Scenario'\n", ")\n", - "plt.plot([0.5, N_DOE_ITERATIONS+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n", - "plt.legend(loc=\"lower right\")\n", - "import matplotlib.pyplot as plt\n", "\n", - "plt.xlim(0, limit+1)\n", - "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch_first25.png\")" + "# Set legend\n", + "ax1.legend(loc=\"lower right\")\n", + "\n", + "# Add a horizontal line\n", + "ax1.plot([0.5, limit+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n", + "\n", + "# Set x-axis limit\n", + "ax1.set_xlim(0, limit+1)\n", + "ax1.set_ylim(50, 101)\n", + "\n", + "# Create a new axis for the histogram on the right side\n", + "ax2 = fig.add_axes([0.905, 0.1, 0.05, 0.8])\n", + "ax2.hist(df_active['Efficiency'], bins=2000, color='orange', alpha=0.5, orientation='horizontal') \n", + "ax2.set_ylim(ax1.get_ylim()) \n", + "ax2.set_axis_off() # Hide axis ticks and labels\n", + "\n", + "# Set x and y titles\n", + "ax1.set_xlabel('Number of Experiments')\n", + "ax1.set_ylabel('Cumulative Best Efficiency')\n", + "\n", + "# Save the plot\n", + "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch_first{limit}.png\", bbox_inches='tight')\n", + "\n", + "# Show the plot\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 176, + "execution_count": 315, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" + "
" ] }, "metadata": {}, @@ -897,20 +926,48 @@ ], "source": [ "# all experiments\n", + "\n", + "# until 50\n", + "limit = 50\n", + "\n", + "# Create a figure and axis object\n", + "fig, ax1 = plt.subplots()\n", + "\n", + "# Plot the lineplot\n", "sns.lineplot(\n", - " data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\"\n", + " data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\", ax=ax1, style = 'Scenario'\n", ")\n", - "plt.plot([0.5, N_DOE_ITERATIONS+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n", - "plt.legend(loc=\"lower right\")\n", - "import matplotlib.pyplot as plt\n", "\n", - "plt.xlim(0, N_DOE_ITERATIONS+1)\n", - "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch.png\")" + "# Set legend\n", + "ax1.legend(loc=\"lower right\")\n", + "\n", + "# Add a horizontal line\n", + "ax1.plot([0.5, limit+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n", + "\n", + "# Set x-axis limit\n", + "ax1.set_xlim(0, limit+1)\n", + "ax1.set_ylim(50, 101)\n", + "\n", + "# Create a new axis for the histogram on the right side\n", + "ax2 = fig.add_axes([0.905, 0.1, 0.05, 0.8])\n", + "ax2.hist(df_active['Efficiency'], bins=2000, color='orange', alpha=0.5, orientation='horizontal') \n", + "ax2.set_ylim(ax1.get_ylim()) \n", + "ax2.set_axis_off() # Hide axis ticks and labels\n", + "\n", + "# Set x and y titles\n", + "ax1.set_xlabel('Number of Experiments')\n", + "ax1.set_ylabel('Cumulative Best Efficiency')\n", + "\n", + "# Save the plot\n", + "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch_first{limit}.png\", bbox_inches='tight')\n", + "\n", + "# Show the plot\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 177, + "execution_count": 310, "metadata": {}, "outputs": [ { @@ -950,9 +1007,9 @@ " 1337\n", " 0\n", " 1\n", - " [91.5]\n", - " 91.500000\n", - " 91.500000\n", + " [10.0]\n", + " 10.000000\n", + " 10.000000\n", " \n", " \n", " 1\n", @@ -960,9 +1017,9 @@ " 1337\n", " 1\n", " 2\n", - " [66.66499999999999]\n", - " 66.665000\n", - " 91.500000\n", + " [96.43666666666667]\n", + " 96.436667\n", + " 96.436667\n", " \n", " \n", " 2\n", @@ -970,9 +1027,9 @@ " 1337\n", " 2\n", " 3\n", - " [65.0]\n", - " 65.000000\n", - " 91.500000\n", + " [25.25]\n", + " 25.250000\n", + " 96.436667\n", " \n", " \n", " 3\n", @@ -980,9 +1037,9 @@ " 1337\n", " 3\n", " 4\n", - " [96.43666666666667]\n", - " 96.436667\n", - " 96.436667\n", + " [99.21666666666665]\n", + " 99.216667\n", + " 99.216667\n", " \n", " \n", " 4\n", @@ -990,9 +1047,9 @@ " 1337\n", " 4\n", " 5\n", - " [98.13333333333333]\n", - " 98.133333\n", - " 98.133333\n", + " [93.8]\n", + " 93.800000\n", + " 99.216667\n", " \n", " \n", " ...\n", @@ -1010,9 +1067,9 @@ " 1346\n", " 45\n", " 46\n", - " [10.0]\n", - " 10.000000\n", + " [99.9]\n", " 99.900000\n", + " 100.000000\n", " \n", " \n", " 2496\n", @@ -1020,9 +1077,9 @@ " 1346\n", " 46\n", " 47\n", - " [65.0]\n", - " 65.000000\n", - " 99.900000\n", + " [40.0]\n", + " 40.000000\n", + " 100.000000\n", " \n", " \n", " 2497\n", @@ -1030,9 +1087,9 @@ " 1346\n", " 47\n", " 48\n", - " [53.85]\n", - " 53.850000\n", - " 99.900000\n", + " [10.0]\n", + " 10.000000\n", + " 100.000000\n", " \n", " \n", " 2498\n", @@ -1040,9 +1097,9 @@ " 1346\n", " 48\n", " 49\n", - " [64.0]\n", - " 64.000000\n", - " 99.900000\n", + " [91.7]\n", + " 91.700000\n", + " 100.000000\n", " \n", " \n", " 2499\n", @@ -1050,9 +1107,9 @@ " 1346\n", " 49\n", " 50\n", - " [72.378]\n", - " 72.378000\n", - " 99.900000\n", + " [0.0]\n", + " 0.000000\n", + " 100.000000\n", " \n", " \n", "\n", @@ -1074,22 +1131,22 @@ "2499 Random 1346 49 50 \n", "\n", " Efficiency_Measurements Efficiency_IterBest Efficiency_CumBest \n", - "0 [91.5] 91.500000 91.500000 \n", - "1 [66.66499999999999] 66.665000 91.500000 \n", - "2 [65.0] 65.000000 91.500000 \n", - "3 [96.43666666666667] 96.436667 96.436667 \n", - "4 [98.13333333333333] 98.133333 98.133333 \n", + "0 [10.0] 10.000000 10.000000 \n", + "1 [96.43666666666667] 96.436667 96.436667 \n", + "2 [25.25] 25.250000 96.436667 \n", + "3 [99.21666666666665] 99.216667 99.216667 \n", + "4 [93.8] 93.800000 99.216667 \n", "... ... ... ... \n", - "2495 [10.0] 10.000000 99.900000 \n", - "2496 [65.0] 65.000000 99.900000 \n", - "2497 [53.85] 53.850000 99.900000 \n", - "2498 [64.0] 64.000000 99.900000 \n", - "2499 [72.378] 72.378000 99.900000 \n", + "2495 [99.9] 99.900000 100.000000 \n", + "2496 [40.0] 40.000000 100.000000 \n", + "2497 [10.0] 10.000000 100.000000 \n", + "2498 [91.7] 91.700000 100.000000 \n", + "2499 [0.0] 0.000000 100.000000 \n", "\n", "[2500 rows x 7 columns]" ] }, - "execution_count": 177, + "execution_count": 310, "metadata": {}, "output_type": "execute_result" } @@ -1100,13 +1157,20 @@ }, { "cell_type": "code", - "execution_count": 178, + "execution_count": 311, "metadata": {}, "outputs": [], "source": [ "results.to_excel(f\"./results/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch.xlsx\")\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/img/AA1000_simulation_10MC_50exp_1batch_first10.png b/img/AA1000_simulation_10MC_50exp_1batch_first10.png index 4727192..7aa3d1c 100644 Binary files a/img/AA1000_simulation_10MC_50exp_1batch_first10.png and b/img/AA1000_simulation_10MC_50exp_1batch_first10.png differ diff --git a/img/AA1000_simulation_10MC_50exp_1batch_first25.png b/img/AA1000_simulation_10MC_50exp_1batch_first25.png index 8a6a1f2..62b8636 100644 Binary files a/img/AA1000_simulation_10MC_50exp_1batch_first25.png and b/img/AA1000_simulation_10MC_50exp_1batch_first25.png differ diff --git a/img/AA1000_simulation_10MC_50exp_1batch_first50.png b/img/AA1000_simulation_10MC_50exp_1batch_first50.png new file mode 100644 index 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