mirror of
https://github.com/jung-geun/PSO.git
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76 lines
1.9 KiB
Plaintext
76 lines
1.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"\n",
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"%matplotlib inline\n",
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"\n",
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"data = pd.read_csv(\"result/mnist/07-13-02-05_75_200_0.25_0.4_0.3_acc.csv\", header=None)\n",
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"print(data.shape)\n",
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"\n",
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"loss = pd.DataFrame()\n",
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"acc = pd.DataFrame()\n",
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"\n",
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"for i in range(len(data.iloc[0])):\n",
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" if i % 2 == 0:\n",
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" loss[i] = data[i]\n",
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" else:\n",
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" acc[i] = data[i]\n",
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"\n",
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"print(loss.shape, acc.shape)\n",
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"\n",
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"fig, axes = plt.subplots(nrows=2, sharey=False, sharex=True, figsize=(6, 6))\n",
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"\n",
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"loss.replace('nan' ,np.inf ,inplace=True)\n",
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"loss = loss.fillna(np.inf)\n",
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"\n",
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"loss.plot(kind=\"line\", ax=axes[0], legend=False, alpha=0.5, ylabel=\"loss\", grid=True, title=f\"best loss {loss.min(numeric_only=True).min()}\")\n",
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"\n",
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"acc.plot(kind=\"line\", ax=axes[1], legend=False, alpha=0.5, ylabel=\"acc\", xlabel=\"epoch\", grid=True, title=f\"best acc {acc.max(numeric_only=True).max()}\")\n",
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"\n",
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"plt.show()\n",
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"plt.clf()\n",
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"plt.clf()\n",
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"plt.close()\n",
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"plt.close()\n",
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"\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "pso",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
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"state": {},
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"version_major": 2,
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"version_minor": 0
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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