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"source": [
"# Visualizations\n",
"\n",
"This tutorial illustrates the core visualization utilities available in Ax."
]
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"execution_count": 1,
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"text": [
"[INFO 07-17 17:11:01] ipy_plotting: Injecting Plotly library into cell. Do not overwrite or delete cell.\n"
]
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" \n",
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"source": [
"import numpy as np\n",
"from ax import (\n",
" Arm,\n",
" ComparisonOp,\n",
" RangeParameter,\n",
" ParameterType,\n",
" SearchSpace, \n",
" SimpleExperiment, \n",
" OutcomeConstraint, \n",
")\n",
"\n",
"from ax.metrics.l2norm import L2NormMetric\n",
"from ax.modelbridge.cross_validation import cross_validate\n",
"from ax.modelbridge.registry import Models\n",
"from ax.plot.contour import interact_contour, plot_contour\n",
"from ax.plot.diagnostic import interact_cross_validation\n",
"from ax.plot.scatter import(\n",
" interact_fitted,\n",
" plot_objective_vs_constraints,\n",
" tile_fitted,\n",
")\n",
"from ax.plot.slice import plot_slice\n",
"from ax.utils.measurement.synthetic_functions import hartmann6\n",
"from ax.utils.notebook.plotting import render, init_notebook_plotting\n",
"\n",
"init_notebook_plotting()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1. Create experiment and run optimization\n",
"\n",
"The vizualizations require an experiment object and a model fit on the evaluated data. The routine below is a copy of the Developer API tutorial, so the explanation here is omitted. Retrieving the experiment and model objects for each API paradigm is shown in the respective tutorials"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 1a. Define search space and evaluation function"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"noise_sd = 0.1\n",
"param_names = [f\"x{i+1}\" for i in range(6)] # x1, x2, ..., x6\n",
"\n",
"def noisy_hartmann_evaluation_function(parameterization):\n",
" x = np.array([parameterization.get(p_name) for p_name in param_names])\n",
" noise1, noise2 = np.random.normal(0, noise_sd, 2)\n",
"\n",
" return {\n",
" \"hartmann6\": (hartmann6(x) + noise1, noise_sd),\n",
" \"l2norm\": (np.sqrt((x ** 2).sum()) + noise2, noise_sd)\n",
" }\n",
"\n",
"hartmann_search_space = SearchSpace(\n",
" parameters=[\n",
" RangeParameter(\n",
" name=p_name, parameter_type=ParameterType.FLOAT, lower=0.0, upper=1.0\n",
" )\n",
" for p_name in param_names\n",
" ]\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 1b. Create Experiment"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"exp = SimpleExperiment(\n",
" name=\"test_branin\",\n",
" search_space=hartmann_search_space,\n",
" evaluation_function=noisy_hartmann_evaluation_function,\n",
" objective_name=\"hartmann6\",\n",
" minimize=True,\n",
" outcome_constraints=[\n",
" OutcomeConstraint(\n",
" metric=L2NormMetric(\n",
" name=\"l2norm\", param_names=param_names, noise_sd=0.2\n",
" ),\n",
" op=ComparisonOp.LEQ,\n",
" bound=1.25,\n",
" relative=False,\n",
" )\n",
" ],\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 1c. Run the optimization and fit a GP on all data\n",
"\n",
"After doing (`N_BATCHES=15`) rounds of optimization, fit final GP using all data to feed into the plots."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"N_RANDOM = 5\n",
"BATCH_SIZE = 1\n",
"N_BATCHES = 15\n",
"\n",
"sobol = Models.SOBOL(exp.search_space)\n",
"exp.new_batch_trial(generator_run=sobol.gen(N_RANDOM))\n",
"\n",
"for i in range(N_BATCHES):\n",
" intermediate_gp = Models.GPEI(experiment=exp, data=exp.eval())\n",
" exp.new_trial(generator_run=intermediate_gp.gen(BATCH_SIZE))\n",
"\n",
"model = Models.GPEI(experiment=exp, data=exp.eval())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2. Contour plots\n",
"\n",
"The plot below shows the response surface for `hartmann6` metric as a function of the `x1`, `x2` parameters.\n",
"\n",
"The other parameters are fixed in the middle of their respective ranges, which in this example is 0.5 for all of them."
]
},
{
"cell_type": "code",
"execution_count": 5,
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"
hartmann6: -0.68 [-0.876, -0.484]
l2norm: 1.133 [0.937, 1.329]
Parameterization:
x1: 0.2883723871782422
x2: 0.6196687556803226
x3: 0.007251903414726257
x4: 0.5371422600001097
x5: 0.9277672367170453
x6: 0.23253872524946928",
"Arm 0_1
hartmann6: -0.299 [-0.495, -0.103]
l2norm: 1.261 [1.065, 1.457]
Parameterization:
x1: 0.032222251407802105
x2: 0.479572513140738
x3: 0.30761270597577095
x4: 0.3577495999634266
x5: 0.573721501044929
x6: 0.9379148595035076",
"Arm 0_2
hartmann6: -0.097 [-0.293, 0.099]
l2norm: 1.842 [1.646, 2.038]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 0_3
hartmann6: -0.191 [-0.387, 0.005]
l2norm: 1.218 [1.022, 1.414]
Parameterization:
x1: 0.9813287556171417
x2: 0.35875170584768057
x3: 0.17850198037922382
x4: 0.19205663725733757
x5: 0.6307198796421289
x6: 0.3204165706411004",
"Arm 0_4
hartmann6: -0.355 [-0.551, -0.159]
l2norm: 1.328 [1.132, 1.524]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
x4: 0.6595143349841237
x5: 0.14121037907898426
x6: 0.7792233508080244",
"Arm 10_0
hartmann6: -2.323 [-2.519, -2.127]
l2norm: 1.256 [1.060, 1.452]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 11_0
hartmann6: -2.718 [-2.914, -2.522]
l2norm: 1.61 [1.414, 1.806]
Parameterization:
x1: 0.3354373594412378
x2: 0.8592821702818901
x3: 0.0032588945555332054
x4: 0.5825290271051977
x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 12_0
hartmann6: -2.645 [-2.841, -2.449]
l2norm: 1.038 [0.842, 1.234]
Parameterization:
x1: 0.35063158316230725
x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
x5: 0.6136890123773288
x6: 0.01945523107956757",
"Arm 13_0
hartmann6: -2.853 [-3.049, -2.657]
l2norm: 1.275 [1.079, 1.471]
Parameterization:
x1: 0.35865754962447755
x2: 0.9030574495318993
x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 14_0
hartmann6: -2.859 [-3.055, -2.663]
l2norm: 1.119 [0.923, 1.315]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
x4: 0.5404190030763936
x5: 0.6459742862467948
x6: 8.433531357203507e-07",
"Arm 15_0
hartmann6: -2.993 [-3.189, -2.797]
l2norm: 1.353 [1.157, 1.549]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 1_0
hartmann6: -1.001 [-1.197, -0.805]
l2norm: 1.38 [1.184, 1.576]
Parameterization:
x1: 0.2661868564588188
x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 2_0
hartmann6: -0.376 [-0.572, -0.180]
l2norm: 1.316 [1.120, 1.512]
Parameterization:
x1: 0.1617190133025891
x2: 0.6099962969745211
x3: 0.05584027165740561
x4: 0.5897082441113385
x5: 0.9778059071335814
x6: 0.15186749006155806",
"Arm 3_0
hartmann6: -0.666 [-0.862, -0.470]
l2norm: 1.272 [1.076, 1.468]
Parameterization:
x1: 0.3254996793247329
x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 4_0
hartmann6: -1.947 [-2.143, -1.751]
l2norm: 1.167 [0.971, 1.363]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 5_0
hartmann6: -1.83 [-2.026, -1.634]
l2norm: 1.343 [1.147, 1.539]
Parameterization:
x1: 0.334112309884976
x2: 0.7498864496969203
x3: 0.019188095597261343
x4: 0.5227191366593882
x5: 0.8838607220829306
x6: 0.1636503349322235",
"Arm 6_0
hartmann6: -0.53 [-0.726, -0.334]
l2norm: 1.314 [1.118, 1.510]
Parameterization:
x1: 0.24223458595927894
x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
x5: 0.909458338913558
x6: 0.29498055701304887",
"Arm 7_0
hartmann6: -2.199 [-2.395, -2.003]
l2norm: 1.403 [1.207, 1.599]
Parameterization:
x1: 0.37762497394883116
x2: 0.7096354113091202
x3: 0.0
x4: 0.6377455249576183
x5: 0.7811815261828887
x6: 0.06407891767942135",
"Arm 8_0
hartmann6: -1.586 [-1.782, -1.390]
l2norm: 1.286 [1.090, 1.482]
Parameterization:
x1: 0.3864342774103571
x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 9_0
hartmann6: -1.995 [-2.191, -1.799]
l2norm: 1.112 [0.916, 1.308]
Parameterization:
x1: 0.3143026829872672
x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377"
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"Arm 0_0
hartmann6: -0.673 [-0.850, -0.495]
l2norm: 1.208 [1.083, 1.334]
Parameterization:
x1: 0.2883723871782422
x2: 0.6196687556803226
x3: 0.007251903414726257
x4: 0.5371422600001097
x5: 0.9277672367170453
x6: 0.23253872524946928",
"Arm 0_1
hartmann6: -0.3 [-0.495, -0.106]
l2norm: 1.276 [1.096, 1.455]
Parameterization:
x1: 0.032222251407802105
x2: 0.479572513140738
x3: 0.30761270597577095
x4: 0.3577495999634266
x5: 0.573721501044929
x6: 0.9379148595035076",
"Arm 0_2
hartmann6: -0.104 [-0.298, 0.091]
l2norm: 1.769 [1.589, 1.948]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 0_3
hartmann6: -0.196 [-0.391, -0.001]
l2norm: 1.242 [1.062, 1.422]
Parameterization:
x1: 0.9813287556171417
x2: 0.35875170584768057
x3: 0.17850198037922382
x4: 0.19205663725733757
x5: 0.6307198796421289
x6: 0.3204165706411004",
"Arm 0_4
hartmann6: -0.356 [-0.550, -0.161]
l2norm: 1.339 [1.159, 1.518]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
x4: 0.6595143349841237
x5: 0.14121037907898426
x6: 0.7792233508080244",
"Arm 10_0
hartmann6: -2.337 [-2.474, -2.200]
l2norm: 1.242 [1.136, 1.348]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 11_0
hartmann6: -2.7 [-2.878, -2.522]
l2norm: 1.48 [1.337, 1.623]
Parameterization:
x1: 0.3354373594412378
x2: 0.8592821702818901
x3: 0.0032588945555332054
x4: 0.5825290271051977
x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 12_0
hartmann6: -2.649 [-2.799, -2.500]
l2norm: 1.124 [1.003, 1.245]
Parameterization:
x1: 0.35063158316230725
x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
x5: 0.6136890123773288
x6: 0.01945523107956757",
"Arm 13_0
hartmann6: -2.883 [-3.043, -2.722]
l2norm: 1.243 [1.122, 1.364]
Parameterization:
x1: 0.35865754962447755
x2: 0.9030574495318993
x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 14_0
hartmann6: -2.818 [-2.958, -2.679]
l2norm: 1.184 [1.079, 1.289]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
x4: 0.5404190030763936
x5: 0.6459742862467948
x6: 8.433531357203507e-07",
"Arm 15_0
hartmann6: -2.96 [-3.140, -2.780]
l2norm: 1.307 [1.166, 1.448]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 1_0
hartmann6: -1.005 [-1.181, -0.829]
l2norm: 1.344 [1.208, 1.479]
Parameterization:
x1: 0.2661868564588188
x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 2_0
hartmann6: -0.395 [-0.584, -0.207]
l2norm: 1.287 [1.137, 1.436]
Parameterization:
x1: 0.1617190133025891
x2: 0.6099962969745211
x3: 0.05584027165740561
x4: 0.5897082441113385
x5: 0.9778059071335814
x6: 0.15186749006155806",
"Arm 3_0
hartmann6: -0.671 [-0.855, -0.488]
l2norm: 1.29 [1.149, 1.431]
Parameterization:
x1: 0.3254996793247329
x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 4_0
hartmann6: -1.921 [-2.085, -1.757]
l2norm: 1.332 [1.224, 1.439]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 5_0
hartmann6: -1.791 [-1.956, -1.626]
l2norm: 1.305 [1.199, 1.411]
Parameterization:
x1: 0.334112309884976
x2: 0.7498864496969203
x3: 0.019188095597261343
x4: 0.5227191366593882
x5: 0.8838607220829306
x6: 0.1636503349322235",
"Arm 6_0
hartmann6: -0.561 [-0.748, -0.374]
l2norm: 1.289 [1.149, 1.429]
Parameterization:
x1: 0.24223458595927894
x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
x5: 0.909458338913558
x6: 0.29498055701304887",
"Arm 7_0
hartmann6: -2.202 [-2.385, -2.019]
l2norm: 1.335 [1.189, 1.481]
Parameterization:
x1: 0.37762497394883116
x2: 0.7096354113091202
x3: 0.0
x4: 0.6377455249576183
x5: 0.7811815261828887
x6: 0.06407891767942135",
"Arm 8_0
hartmann6: -1.609 [-1.798, -1.420]
l2norm: 1.282 [1.127, 1.437]
Parameterization:
x1: 0.3864342774103571
x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 9_0
hartmann6: -2.011 [-2.185, -1.837]
l2norm: 1.149 [1.012, 1.286]
Parameterization:
x1: 0.3143026829872672
x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377"
],
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"Arm 0_0
hartmann6: -0.68 [-0.876, -0.484]
l2norm: 1.133 [0.937, 1.329]
Parameterization:
x1: 0.2883723871782422
x2: 0.6196687556803226
x3: 0.007251903414726257
x4: 0.5371422600001097
x5: 0.9277672367170453
x6: 0.23253872524946928",
"Arm 0_1
hartmann6: -0.299 [-0.495, -0.103]
l2norm: 1.261 [1.065, 1.457]
Parameterization:
x1: 0.032222251407802105
x2: 0.479572513140738
x3: 0.30761270597577095
x4: 0.3577495999634266
x5: 0.573721501044929
x6: 0.9379148595035076",
"Arm 0_2
hartmann6: -0.097 [-0.293, 0.099]
l2norm: 1.842 [1.646, 2.038]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 0_3
hartmann6: -0.191 [-0.387, 0.005]
l2norm: 1.218 [1.022, 1.414]
Parameterization:
x1: 0.9813287556171417
x2: 0.35875170584768057
x3: 0.17850198037922382
x4: 0.19205663725733757
x5: 0.6307198796421289
x6: 0.3204165706411004",
"Arm 0_4
hartmann6: -0.355 [-0.551, -0.159]
l2norm: 1.328 [1.132, 1.524]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
x4: 0.6595143349841237
x5: 0.14121037907898426
x6: 0.7792233508080244",
"Arm 10_0
hartmann6: -2.323 [-2.519, -2.127]
l2norm: 1.256 [1.060, 1.452]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 11_0
hartmann6: -2.718 [-2.914, -2.522]
l2norm: 1.61 [1.414, 1.806]
Parameterization:
x1: 0.3354373594412378
x2: 0.8592821702818901
x3: 0.0032588945555332054
x4: 0.5825290271051977
x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 12_0
hartmann6: -2.645 [-2.841, -2.449]
l2norm: 1.038 [0.842, 1.234]
Parameterization:
x1: 0.35063158316230725
x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
x5: 0.6136890123773288
x6: 0.01945523107956757",
"Arm 13_0
hartmann6: -2.853 [-3.049, -2.657]
l2norm: 1.275 [1.079, 1.471]
Parameterization:
x1: 0.35865754962447755
x2: 0.9030574495318993
x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 14_0
hartmann6: -2.859 [-3.055, -2.663]
l2norm: 1.119 [0.923, 1.315]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
x4: 0.5404190030763936
x5: 0.6459742862467948
x6: 8.433531357203507e-07",
"Arm 15_0
hartmann6: -2.993 [-3.189, -2.797]
l2norm: 1.353 [1.157, 1.549]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 1_0
hartmann6: -1.001 [-1.197, -0.805]
l2norm: 1.38 [1.184, 1.576]
Parameterization:
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x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 2_0
hartmann6: -0.376 [-0.572, -0.180]
l2norm: 1.316 [1.120, 1.512]
Parameterization:
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x2: 0.6099962969745211
x3: 0.05584027165740561
x4: 0.5897082441113385
x5: 0.9778059071335814
x6: 0.15186749006155806",
"Arm 3_0
hartmann6: -0.666 [-0.862, -0.470]
l2norm: 1.272 [1.076, 1.468]
Parameterization:
x1: 0.3254996793247329
x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 4_0
hartmann6: -1.947 [-2.143, -1.751]
l2norm: 1.167 [0.971, 1.363]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 5_0
hartmann6: -1.83 [-2.026, -1.634]
l2norm: 1.343 [1.147, 1.539]
Parameterization:
x1: 0.334112309884976
x2: 0.7498864496969203
x3: 0.019188095597261343
x4: 0.5227191366593882
x5: 0.8838607220829306
x6: 0.1636503349322235",
"Arm 6_0
hartmann6: -0.53 [-0.726, -0.334]
l2norm: 1.314 [1.118, 1.510]
Parameterization:
x1: 0.24223458595927894
x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
x5: 0.909458338913558
x6: 0.29498055701304887",
"Arm 7_0
hartmann6: -2.199 [-2.395, -2.003]
l2norm: 1.403 [1.207, 1.599]
Parameterization:
x1: 0.37762497394883116
x2: 0.7096354113091202
x3: 0.0
x4: 0.6377455249576183
x5: 0.7811815261828887
x6: 0.06407891767942135",
"Arm 8_0
hartmann6: -1.586 [-1.782, -1.390]
l2norm: 1.286 [1.090, 1.482]
Parameterization:
x1: 0.3864342774103571
x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 9_0
hartmann6: -1.995 [-2.191, -1.799]
l2norm: 1.112 [0.916, 1.308]
Parameterization:
x1: 0.3143026829872672
x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377"
],
[
"Arm 0_0
hartmann6: -0.673 [-0.850, -0.495]
l2norm: 1.208 [1.083, 1.334]
Parameterization:
x1: 0.2883723871782422
x2: 0.6196687556803226
x3: 0.007251903414726257
x4: 0.5371422600001097
x5: 0.9277672367170453
x6: 0.23253872524946928",
"Arm 0_1
hartmann6: -0.3 [-0.495, -0.106]
l2norm: 1.276 [1.096, 1.455]
Parameterization:
x1: 0.032222251407802105
x2: 0.479572513140738
x3: 0.30761270597577095
x4: 0.3577495999634266
x5: 0.573721501044929
x6: 0.9379148595035076",
"Arm 0_2
hartmann6: -0.104 [-0.298, 0.091]
l2norm: 1.769 [1.589, 1.948]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 0_3
hartmann6: -0.196 [-0.391, -0.001]
l2norm: 1.242 [1.062, 1.422]
Parameterization:
x1: 0.9813287556171417
x2: 0.35875170584768057
x3: 0.17850198037922382
x4: 0.19205663725733757
x5: 0.6307198796421289
x6: 0.3204165706411004",
"Arm 0_4
hartmann6: -0.356 [-0.550, -0.161]
l2norm: 1.339 [1.159, 1.518]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
x4: 0.6595143349841237
x5: 0.14121037907898426
x6: 0.7792233508080244",
"Arm 10_0
hartmann6: -2.337 [-2.474, -2.200]
l2norm: 1.242 [1.136, 1.348]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 11_0
hartmann6: -2.7 [-2.878, -2.522]
l2norm: 1.48 [1.337, 1.623]
Parameterization:
x1: 0.3354373594412378
x2: 0.8592821702818901
x3: 0.0032588945555332054
x4: 0.5825290271051977
x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 12_0
hartmann6: -2.649 [-2.799, -2.500]
l2norm: 1.124 [1.003, 1.245]
Parameterization:
x1: 0.35063158316230725
x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
x5: 0.6136890123773288
x6: 0.01945523107956757",
"Arm 13_0
hartmann6: -2.883 [-3.043, -2.722]
l2norm: 1.243 [1.122, 1.364]
Parameterization:
x1: 0.35865754962447755
x2: 0.9030574495318993
x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 14_0
hartmann6: -2.818 [-2.958, -2.679]
l2norm: 1.184 [1.079, 1.289]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
x4: 0.5404190030763936
x5: 0.6459742862467948
x6: 8.433531357203507e-07",
"Arm 15_0
hartmann6: -2.96 [-3.140, -2.780]
l2norm: 1.307 [1.166, 1.448]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 1_0
hartmann6: -1.005 [-1.181, -0.829]
l2norm: 1.344 [1.208, 1.479]
Parameterization:
x1: 0.2661868564588188
x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 2_0
hartmann6: -0.395 [-0.584, -0.207]
l2norm: 1.287 [1.137, 1.436]
Parameterization:
x1: 0.1617190133025891
x2: 0.6099962969745211
x3: 0.05584027165740561
x4: 0.5897082441113385
x5: 0.9778059071335814
x6: 0.15186749006155806",
"Arm 3_0
hartmann6: -0.671 [-0.855, -0.488]
l2norm: 1.29 [1.149, 1.431]
Parameterization:
x1: 0.3254996793247329
x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 4_0
hartmann6: -1.921 [-2.085, -1.757]
l2norm: 1.332 [1.224, 1.439]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 5_0
hartmann6: -1.791 [-1.956, -1.626]
l2norm: 1.305 [1.199, 1.411]
Parameterization:
x1: 0.334112309884976
x2: 0.7498864496969203
x3: 0.019188095597261343
x4: 0.5227191366593882
x5: 0.8838607220829306
x6: 0.1636503349322235",
"Arm 6_0
hartmann6: -0.561 [-0.748, -0.374]
l2norm: 1.289 [1.149, 1.429]
Parameterization:
x1: 0.24223458595927894
x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
x5: 0.909458338913558
x6: 0.29498055701304887",
"Arm 7_0
hartmann6: -2.202 [-2.385, -2.019]
l2norm: 1.335 [1.189, 1.481]
Parameterization:
x1: 0.37762497394883116
x2: 0.7096354113091202
x3: 0.0
x4: 0.6377455249576183
x5: 0.7811815261828887
x6: 0.06407891767942135",
"Arm 8_0
hartmann6: -1.609 [-1.798, -1.420]
l2norm: 1.282 [1.127, 1.437]
Parameterization:
x1: 0.3864342774103571
x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 9_0
hartmann6: -2.011 [-2.185, -1.837]
l2norm: 1.149 [1.012, 1.286]
Parameterization:
x1: 0.3143026829872672
x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377"
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"zerolinecolor": "red"
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},
"text/html": [
"\n",
" \n",
" \n",
"
\n",
" \n",
"
Actual Outcome: -2.993 [-3.189, -2.797]
Predicted Outcome: -2.706 [-3.258, -2.153]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 7_0
Actual Outcome: -2.199 [-2.395, -2.003]
Predicted Outcome: -2.226 [-2.759, -1.694]
Parameterization:
x1: 0.37762497394883116
x2: 0.7096354113091202
x3: 0.0
x4: 0.6377455249576183
x5: 0.7811815261828887
x6: 0.06407891767942135",
"Arm 10_0
Actual Outcome: -2.323 [-2.519, -2.127]
Predicted Outcome: -2.357 [-2.557, -2.158]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 14_0
Actual Outcome: -2.859 [-3.055, -2.663]
Predicted Outcome: -2.771 [-2.973, -2.569]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
x4: 0.5404190030763936
x5: 0.6459742862467948
x6: 8.433531357203507e-07",
"Arm 5_0
Actual Outcome: -1.83 [-2.026, -1.634]
Predicted Outcome: -1.676 [-1.997, -1.354]
Parameterization:
x1: 0.334112309884976
x2: 0.7498864496969203
x3: 0.019188095597261343
x4: 0.5227191366593882
x5: 0.8838607220829306
x6: 0.1636503349322235",
"Arm 11_0
Actual Outcome: -2.718 [-2.914, -2.522]
Predicted Outcome: -2.598 [-3.046, -2.150]
Parameterization:
x1: 0.3354373594412378
x2: 0.8592821702818901
x3: 0.0032588945555332054
x4: 0.5825290271051977
x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 8_0
Actual Outcome: -1.586 [-1.782, -1.390]
Predicted Outcome: -1.949 [-2.644, -1.254]
Parameterization:
x1: 0.3864342774103571
x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 0_2
Actual Outcome: -0.097 [-0.293, 0.099]
Predicted Outcome: -0.688 [-2.389, 1.013]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 3_0
Actual Outcome: -0.666 [-0.862, -0.470]
Predicted Outcome: -0.711 [-1.255, -0.167]
Parameterization:
x1: 0.3254996793247329
x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 12_0
Actual Outcome: -2.645 [-2.841, -2.449]
Predicted Outcome: -2.654 [-2.892, -2.416]
Parameterization:
x1: 0.35063158316230725
x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
x5: 0.6136890123773288
x6: 0.01945523107956757",
"Arm 0_3
Actual Outcome: -0.191 [-0.387, 0.005]
Predicted Outcome: -0.592 [-2.305, 1.122]
Parameterization:
x1: 0.9813287556171417
x2: 0.35875170584768057
x3: 0.17850198037922382
x4: 0.19205663725733757
x5: 0.6307198796421289
x6: 0.3204165706411004",
"Arm 9_0
Actual Outcome: -1.995 [-2.191, -1.799]
Predicted Outcome: -2.077 [-2.453, -1.702]
Parameterization:
x1: 0.3143026829872672
x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377",
"Arm 6_0
Actual Outcome: -0.53 [-0.726, -0.334]
Predicted Outcome: -1.054 [-1.625, -0.484]
Parameterization:
x1: 0.24223458595927894
x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
x5: 0.909458338913558
x6: 0.29498055701304887",
"Arm 13_0
Actual Outcome: -2.853 [-3.049, -2.657]
Predicted Outcome: -2.946 [-3.228, -2.663]
Parameterization:
x1: 0.35865754962447755
x2: 0.9030574495318993
x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 0_4
Actual Outcome: -0.355 [-0.551, -0.159]
Predicted Outcome: -0.419 [-2.066, 1.228]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
x4: 0.6595143349841237
x5: 0.14121037907898426
x6: 0.7792233508080244",
"Arm 1_0
Actual Outcome: -1.001 [-1.197, -0.805]
Predicted Outcome: -1.019 [-1.435, -0.602]
Parameterization:
x1: 0.2661868564588188
x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 0_0
Actual Outcome: -0.68 [-0.876, -0.484]
Predicted Outcome: -0.637 [-1.071, -0.203]
Parameterization:
x1: 0.2883723871782422
x2: 0.6196687556803226
x3: 0.007251903414726257
x4: 0.5371422600001097
x5: 0.9277672367170453
x6: 0.23253872524946928",
"Arm 0_1
Actual Outcome: -0.299 [-0.495, -0.103]
Predicted Outcome: -0.366 [-2.017, 1.286]
Parameterization:
x1: 0.032222251407802105
x2: 0.479572513140738
x3: 0.30761270597577095
x4: 0.3577495999634266
x5: 0.573721501044929
x6: 0.9379148595035076",
"Arm 4_0
Actual Outcome: -1.947 [-2.143, -1.751]
Predicted Outcome: -1.852 [-2.161, -1.543]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 2_0
Actual Outcome: -0.376 [-0.572, -0.180]
Predicted Outcome: -0.661 [-1.327, 0.005]
Parameterization:
x1: 0.1617190133025891
x2: 0.6099962969745211
x3: 0.05584027165740561
x4: 0.5897082441113385
x5: 0.9778059071335814
x6: 0.15186749006155806"
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"Arm 15_0
Actual Outcome: 1.353 [1.157, 1.549]
Predicted Outcome: 1.258 [1.050, 1.467]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 7_0
Actual Outcome: 1.403 [1.207, 1.599]
Predicted Outcome: 1.227 [1.004, 1.450]
Parameterization:
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x3: 0.0
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x6: 0.06407891767942135",
"Arm 10_0
Actual Outcome: 1.256 [1.060, 1.452]
Predicted Outcome: 1.235 [1.107, 1.364]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 14_0
Actual Outcome: 1.119 [0.923, 1.315]
Predicted Outcome: 1.213 [1.090, 1.336]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
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x6: 8.433531357203507e-07",
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Actual Outcome: 1.343 [1.147, 1.539]
Predicted Outcome: 1.287 [1.158, 1.415]
Parameterization:
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x2: 0.7498864496969203
x3: 0.019188095597261343
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x6: 0.1636503349322235",
"Arm 11_0
Actual Outcome: 1.61 [1.414, 1.806]
Predicted Outcome: 1.312 [1.145, 1.480]
Parameterization:
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x2: 0.8592821702818901
x3: 0.0032588945555332054
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x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 8_0
Actual Outcome: 1.286 [1.090, 1.482]
Predicted Outcome: 1.272 [1.008, 1.536]
Parameterization:
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x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 0_2
Actual Outcome: 1.842 [1.646, 2.038]
Predicted Outcome: 1.278 [1.003, 1.553]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 3_0
Actual Outcome: 1.272 [1.076, 1.468]
Predicted Outcome: 1.313 [1.103, 1.523]
Parameterization:
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x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 12_0
Actual Outcome: 1.038 [0.842, 1.234]
Predicted Outcome: 1.184 [1.037, 1.331]
Parameterization:
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x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
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x6: 0.01945523107956757",
"Arm 0_3
Actual Outcome: 1.218 [1.022, 1.414]
Predicted Outcome: 1.405 [0.931, 1.880]
Parameterization:
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x2: 0.35875170584768057
x3: 0.17850198037922382
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x6: 0.3204165706411004",
"Arm 9_0
Actual Outcome: 1.112 [0.916, 1.308]
Predicted Outcome: 1.187 [0.995, 1.379]
Parameterization:
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x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377",
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Actual Outcome: 1.314 [1.118, 1.510]
Predicted Outcome: 1.259 [1.049, 1.468]
Parameterization:
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x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
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x6: 0.29498055701304887",
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Actual Outcome: 1.275 [1.079, 1.471]
Predicted Outcome: 1.217 [1.062, 1.372]
Parameterization:
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x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 0_4
Actual Outcome: 1.328 [1.132, 1.524]
Predicted Outcome: 1.406 [0.928, 1.885]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
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Actual Outcome: 1.38 [1.184, 1.576]
Predicted Outcome: 1.305 [1.111, 1.499]
Parameterization:
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x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 0_0
Actual Outcome: 1.133 [0.937, 1.329]
Predicted Outcome: 1.262 [1.102, 1.422]
Parameterization:
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x2: 0.6196687556803226
x3: 0.007251903414726257
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x6: 0.23253872524946928",
"Arm 0_1
Actual Outcome: 1.261 [1.065, 1.457]
Predicted Outcome: 1.364 [0.890, 1.838]
Parameterization:
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x2: 0.479572513140738
x3: 0.30761270597577095
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x6: 0.9379148595035076",
"Arm 4_0
Actual Outcome: 1.167 [0.971, 1.363]
Predicted Outcome: 1.411 [1.283, 1.539]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 2_0
Actual Outcome: 1.316 [1.120, 1.512]
Predicted Outcome: 1.242 [0.994, 1.490]
Parameterization:
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x2: 0.6099962969745211
x3: 0.05584027165740561
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"caxis": {
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"x": 0.05
},
"xaxis": {
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"title": {
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"ticks": "",
"title": {
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}
},
"title": {
"text": "Cross-validation"
},
"updatemenus": [
{
"buttons": [
{
"args": [
"visible",
[
true,
true,
false,
false
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],
"label": "hartmann6",
"method": "restyle"
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{
"args": [
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[
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false,
true,
true
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"method": "restyle"
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"xanchor": "left",
"y": 1.125,
"yanchor": "top"
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"label": "Yes",
"method": "restyle"
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"linewidth": 0.5,
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"title": {
"text": "Actual Outcome"
},
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"text/html": [
"\n",
" \n",
" \n",
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\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
hartmann6: -0.673 [-0.850, -0.495]
Parameterization:
x1: 0.2883723871782422
x2: 0.6196687556803226
x3: 0.007251903414726257
x4: 0.5371422600001097
x5: 0.9277672367170453
x6: 0.23253872524946928",
"Arm 0_1
hartmann6: -0.3 [-0.495, -0.106]
Parameterization:
x1: 0.032222251407802105
x2: 0.479572513140738
x3: 0.30761270597577095
x4: 0.3577495999634266
x5: 0.573721501044929
x6: 0.9379148595035076",
"Arm 0_2
hartmann6: -0.104 [-0.298, 0.091]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 0_3
hartmann6: -0.196 [-0.391, -0.001]
Parameterization:
x1: 0.9813287556171417
x2: 0.35875170584768057
x3: 0.17850198037922382
x4: 0.19205663725733757
x5: 0.6307198796421289
x6: 0.3204165706411004",
"Arm 0_4
hartmann6: -0.356 [-0.550, -0.161]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
x4: 0.6595143349841237
x5: 0.14121037907898426
x6: 0.7792233508080244",
"Arm 10_0
hartmann6: -2.337 [-2.474, -2.200]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 11_0
hartmann6: -2.7 [-2.878, -2.522]
Parameterization:
x1: 0.3354373594412378
x2: 0.8592821702818901
x3: 0.0032588945555332054
x4: 0.5825290271051977
x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 12_0
hartmann6: -2.649 [-2.799, -2.500]
Parameterization:
x1: 0.35063158316230725
x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
x5: 0.6136890123773288
x6: 0.01945523107956757",
"Arm 13_0
hartmann6: -2.883 [-3.043, -2.722]
Parameterization:
x1: 0.35865754962447755
x2: 0.9030574495318993
x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 14_0
hartmann6: -2.818 [-2.958, -2.679]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
x4: 0.5404190030763936
x5: 0.6459742862467948
x6: 8.433531357203507e-07",
"Arm 15_0
hartmann6: -2.96 [-3.140, -2.780]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 1_0
hartmann6: -1.005 [-1.181, -0.829]
Parameterization:
x1: 0.2661868564588188
x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 2_0
hartmann6: -0.395 [-0.584, -0.207]
Parameterization:
x1: 0.1617190133025891
x2: 0.6099962969745211
x3: 0.05584027165740561
x4: 0.5897082441113385
x5: 0.9778059071335814
x6: 0.15186749006155806",
"Arm 3_0
hartmann6: -0.671 [-0.855, -0.488]
Parameterization:
x1: 0.3254996793247329
x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 4_0
hartmann6: -1.921 [-2.085, -1.757]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 5_0
hartmann6: -1.791 [-1.956, -1.626]
Parameterization:
x1: 0.334112309884976
x2: 0.7498864496969203
x3: 0.019188095597261343
x4: 0.5227191366593882
x5: 0.8838607220829306
x6: 0.1636503349322235",
"Arm 6_0
hartmann6: -0.561 [-0.748, -0.374]
Parameterization:
x1: 0.24223458595927894
x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
x5: 0.909458338913558
x6: 0.29498055701304887",
"Arm 7_0
hartmann6: -2.202 [-2.385, -2.019]
Parameterization:
x1: 0.37762497394883116
x2: 0.7096354113091202
x3: 0.0
x4: 0.6377455249576183
x5: 0.7811815261828887
x6: 0.06407891767942135",
"Arm 8_0
hartmann6: -1.609 [-1.798, -1.420]
Parameterization:
x1: 0.3864342774103571
x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 9_0
hartmann6: -2.011 [-2.185, -1.837]
Parameterization:
x1: 0.3143026829872672
x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377"
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"Arm 0_0
l2norm: 1.208 [1.083, 1.334]
Parameterization:
x1: 0.2883723871782422
x2: 0.6196687556803226
x3: 0.007251903414726257
x4: 0.5371422600001097
x5: 0.9277672367170453
x6: 0.23253872524946928",
"Arm 0_1
l2norm: 1.276 [1.096, 1.455]
Parameterization:
x1: 0.032222251407802105
x2: 0.479572513140738
x3: 0.30761270597577095
x4: 0.3577495999634266
x5: 0.573721501044929
x6: 0.9379148595035076",
"Arm 0_2
l2norm: 1.769 [1.589, 1.948]
Parameterization:
x1: 0.8438122430816293
x2: 0.9232462858781219
x3: 0.9181950390338898
x4: 0.7594306217506528
x5: 0.09204001259058714
x6: 0.3960998235270381",
"Arm 0_3
l2norm: 1.242 [1.062, 1.422]
Parameterization:
x1: 0.9813287556171417
x2: 0.35875170584768057
x3: 0.17850198037922382
x4: 0.19205663725733757
x5: 0.6307198796421289
x6: 0.3204165706411004",
"Arm 0_4
l2norm: 1.339 [1.159, 1.518]
Parameterization:
x1: 0.16802974976599216
x2: 0.8019368136301637
x3: 0.5312985237687826
x4: 0.6595143349841237
x5: 0.14121037907898426
x6: 0.7792233508080244",
"Arm 10_0
l2norm: 1.242 [1.136, 1.348]
Parameterization:
x1: 0.345150661852771
x2: 0.79659744177441
x3: 0.006175725752629648
x4: 0.49240894412523967
x5: 0.767600389010855
x6: 0.08015824904990022",
"Arm 11_0
l2norm: 1.48 [1.337, 1.623]
Parameterization:
x1: 0.3354373594412378
x2: 0.8592821702818901
x3: 0.0032588945555332054
x4: 0.5825290271051977
x5: 0.8991697770252648
x6: 0.051077688510659226",
"Arm 12_0
l2norm: 1.124 [1.003, 1.245]
Parameterization:
x1: 0.35063158316230725
x2: 0.8375924270431239
x3: 0.030856127788857303
x4: 0.5119055609783862
x5: 0.6136890123773288
x6: 0.01945523107956757",
"Arm 13_0
l2norm: 1.243 [1.122, 1.364]
Parameterization:
x1: 0.35865754962447755
x2: 0.9030574495318993
x3: 0.02351275773071999
x4: 0.5926159116458433
x5: 0.6399187397740043
x6: 0.015980049708579892",
"Arm 14_0
l2norm: 1.184 [1.079, 1.289]
Parameterization:
x1: 0.34642403693419155
x2: 0.8768125806520288
x3: 0.008813284524977252
x4: 0.5404190030763936
x5: 0.6459742862467948
x6: 8.433531357203507e-07",
"Arm 15_0
l2norm: 1.307 [1.166, 1.448]
Parameterization:
x1: 0.3610982448115155
x2: 0.884473714165726
x3: 0.12962092456282107
x4: 0.5739387792991149
x5: 0.6818477298263101
x6: 1.319510703691041e-16",
"Arm 1_0
l2norm: 1.344 [1.208, 1.479]
Parameterization:
x1: 0.2661868564588188
x2: 0.6441328834997212
x3: 2.6020852139652106e-18
x4: 0.6848625684540316
x5: 1.0
x6: 0.15592701641546086",
"Arm 2_0
l2norm: 1.287 [1.137, 1.436]
Parameterization:
x1: 0.1617190133025891
x2: 0.6099962969745211
x3: 0.05584027165740561
x4: 0.5897082441113385
x5: 0.9778059071335814
x6: 0.15186749006155806",
"Arm 3_0
l2norm: 1.29 [1.149, 1.431]
Parameterization:
x1: 0.3254996793247329
x2: 0.612394981673461
x3: 2.702634170221236e-17
x4: 0.6871040369460226
x5: 0.9277480215318976
x6: 0.2686090302765182",
"Arm 4_0
l2norm: 1.332 [1.224, 1.439]
Parameterization:
x1: 0.2887830957375386
x2: 0.7368280097311343
x3: 6.898626541026494e-08
x4: 0.5885996896976093
x5: 0.9044207212537366
x6: 0.10075072714004012",
"Arm 5_0
l2norm: 1.305 [1.199, 1.411]
Parameterization:
x1: 0.334112309884976
x2: 0.7498864496969203
x3: 0.019188095597261343
x4: 0.5227191366593882
x5: 0.8838607220829306
x6: 0.1636503349322235",
"Arm 6_0
l2norm: 1.289 [1.149, 1.429]
Parameterization:
x1: 0.24223458595927894
x2: 0.7414066826043927
x3: 0.0
x4: 0.5725479694190617
x5: 0.909458338913558
x6: 0.29498055701304887",
"Arm 7_0
l2norm: 1.335 [1.189, 1.481]
Parameterization:
x1: 0.37762497394883116
x2: 0.7096354113091202
x3: 0.0
x4: 0.6377455249576183
x5: 0.7811815261828887
x6: 0.06407891767942135",
"Arm 8_0
l2norm: 1.282 [1.127, 1.437]
Parameterization:
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x2: 0.6827529452453005
x3: 2.173822178957002e-16
x4: 0.42255936121805976
x5: 0.931631439412047
x6: 0.04338462507463596",
"Arm 9_0
l2norm: 1.149 [1.012, 1.286]
Parameterization:
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x2: 0.8131591003730131
x3: 0.0
x4: 0.4147522392696318
x5: 0.7269847564857305
x6: 0.09680112735954377"
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