opt_tutorial_3.ipynb

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   "source": [
    "import optuna\n",
    "from optuna.visualization import plot_contour\n",
    "from optuna.visualization import plot_edf\n",
    "from optuna.visualization import plot_intermediate_values\n",
    "from optuna.visualization import plot_optimization_history\n",
    "from optuna.visualization import plot_parallel_coordinate\n",
    "from optuna.visualization import plot_param_importances\n",
    "from optuna.visualization import plot_slice\n",
    "from optuna.trial import TrialState\n",
    "from optuna.importance import MeanDecreaseImpurityImportanceEvaluator\n",
    "\n",
    "#params=[\"alpha\",\"beta\",\"gamma\",\"gamma_1\",\"gamma_2\",\"learning_rate\"]"
   ]
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     "text": [
      "\u001b[32m[I 2022-04-13 13:01:24,389]\u001b[0m Using an existing study with name 'opt_tutorial2' instead of creating a new one.\u001b[0m\n"
     ]
    }
   ],
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    "study = optuna.create_study(\n",
    "    study_name='opt_tutorial2',\n",
    "    storage='sqlite:///tutorial.db',\n",
    "    load_if_exists=True,\n",
    "    direction=\"maximize\")"
   ]
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    "## History Plot\n"
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   ],
   "source": [
    "plot_optimization_history(study)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the learning curves of the trials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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    "## Hyperparameters importances"
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       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "                        })                };                });            </script>        </div>"
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     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "plot_param_importances(study, evaluator=MeanDecreaseImpurityImportanceEvaluator())"
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  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hyperparameter relationships"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
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