Aconity_ML_Expt1/expt1_analysis.ipynb

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 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data handling imports\n",
    "import numpy as np\n",
    "import pickle\n",
    "import random\n",
    "from tqdm.auto import tqdm\n",
    "import optuna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "storage_name = \"mysql+pymysql://root:Ch31121992@192.168.1.10:3306/optuna_db\"\n",
    "study_name = \"Experiment 1\"\n",
    "study = optuna.load_study(\n",
    "    study_name=study_name,\n",
    "    storage=storage_name,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = study.trials_dataframe()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(inplace=True)\n",
    "df.sort_values(by=\"value\", inplace=True)\n",
    "df.drop(df[\"value\"].idxmax(), inplace=True)\n",
    "df.drop(df[\"value\"].idxmax(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.options.plotting.backend = \"plotly\"\n",
    "params = list(df.keys()[5:-1])\n",
    "for p in params:\n",
    "    df.plot(x=p, y=\"value\", kind=\"scatter\", title=p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = list(df.keys()[5:-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!poetry add tabulate\n",
    "from tabulate import tabulate\n",
    "print(\n",
    "    tabulate(\n",
    "        (x[0] for x in sorted(list(df.groupby(params)), key=lambda x: x[1][\"value\"].mean())),\n",
    "        headers = params,\n",
    "        tablefmt = \"grid\",\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for p in params:\n",
    "    df.plot(x=p, y=\"value\", kind=\"scatter\", title=p).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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