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Qwlouse/Query_Sacred_MongoDB_Demo.ipynb

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Very basic demo on how to query a MongoDB collection created by Sacred
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Query_Sacred_MongoDB_Demo.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pymongo\n",
"from pandas.io.json import json_normalize\n",
"import gridfs"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"client = pymongo.MongoClient()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"runs = client.nascence.default.runs\n",
"fs = gridfs.GridFS(client.nascence, collection='default')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def get_results(filt, project=None):\n",
" project_dict = {'result': True, '_id': False}\n",
" if project is None:\n",
" project_dict['config'] = True\n",
" elif isinstance(project, dict):\n",
" for k, v in project.items():\n",
" project_dict[k] = v\n",
" else:\n",
" for k in project:\n",
" project_dict[k] = True\n",
" \n",
" return json_normalize(runs.find(filt, project_dict).sort('result', direction=pymongo.DESCENDING))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"project = {'config', 'status'}"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>config.act_func</th>\n",
" <th>config.batch_size</th>\n",
" <th>config.binary</th>\n",
" <th>config.filename</th>\n",
" <th>config.in_size</th>\n",
" <th>config.layer_size</th>\n",
" <th>config.learning_rate</th>\n",
" <th>config.max_epochs</th>\n",
" <th>config.net_type</th>\n",
" <th>config.num_layers</th>\n",
" <th>config.seed</th>\n",
" <th>config.t_bias</th>\n",
" <th>result</th>\n",
" <th>status</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>8</td>\n",
" <td>0.000590</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>2</td>\n",
" <td>638087870</td>\n",
" <td>-1</td>\n",
" <td>0.500602</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>8</td>\n",
" <td>0.000135</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>5</td>\n",
" <td>771747020</td>\n",
" <td>-1</td>\n",
" <td>0.499323</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>8</td>\n",
" <td>0.000101</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>2</td>\n",
" <td>737253126</td>\n",
" <td>-1</td>\n",
" <td>0.497999</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>32</td>\n",
" <td>0.000171</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>10</td>\n",
" <td>470379278</td>\n",
" <td>-1</td>\n",
" <td>0.497488</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>16</td>\n",
" <td>0.001008</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>2</td>\n",
" <td>453090728</td>\n",
" <td>-1</td>\n",
" <td>0.490946</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>8</td>\n",
" <td>0.001263</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>1</td>\n",
" <td>586890871</td>\n",
" <td>-1</td>\n",
" <td>0.488610</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>16</td>\n",
" <td>0.001749</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>1</td>\n",
" <td>784002041</td>\n",
" <td>-1</td>\n",
" <td>0.486264</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>8</td>\n",
" <td>0.063038</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>10</td>\n",
" <td>536664405</td>\n",
" <td>-1</td>\n",
" <td>0.483417</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>8</td>\n",
" <td>0.045924</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>10</td>\n",
" <td>286268469</td>\n",
" <td>-1</td>\n",
" <td>0.482362</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>rel</td>\n",
" <td>20</td>\n",
" <td>False</td>\n",
" <td>maktuba-filtered-5.0.h5</td>\n",
" <td>44</td>\n",
" <td>8</td>\n",
" <td>0.011928</td>\n",
" <td>100</td>\n",
" <td>plain</td>\n",
" <td>1</td>\n",
" <td>846158399</td>\n",
" <td>-1</td>\n",
" <td>0.482240</td>\n",
" <td>COMPLETED</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" config.act_func config.batch_size config.binary config.filename \\\n",
"0 rel 20 False maktuba-filtered-5.0.h5 \n",
"1 rel 20 False maktuba-filtered-5.0.h5 \n",
"2 rel 20 False maktuba-filtered-5.0.h5 \n",
"3 rel 20 False maktuba-filtered-5.0.h5 \n",
"4 rel 20 False maktuba-filtered-5.0.h5 \n",
"5 rel 20 False maktuba-filtered-5.0.h5 \n",
"6 rel 20 False maktuba-filtered-5.0.h5 \n",
"7 rel 20 False maktuba-filtered-5.0.h5 \n",
"8 rel 20 False maktuba-filtered-5.0.h5 \n",
"9 rel 20 False maktuba-filtered-5.0.h5 \n",
"\n",
" config.in_size config.layer_size config.learning_rate config.max_epochs \\\n",
"0 44 8 0.000590 100 \n",
"1 44 8 0.000135 100 \n",
"2 44 8 0.000101 100 \n",
"3 44 32 0.000171 100 \n",
"4 44 16 0.001008 100 \n",
"5 44 8 0.001263 100 \n",
"6 44 16 0.001749 100 \n",
"7 44 8 0.063038 100 \n",
"8 44 8 0.045924 100 \n",
"9 44 8 0.011928 100 \n",
"\n",
" config.net_type config.num_layers config.seed config.t_bias result \\\n",
"0 plain 2 638087870 -1 0.500602 \n",
"1 plain 5 771747020 -1 0.499323 \n",
"2 plain 2 737253126 -1 0.497999 \n",
"3 plain 10 470379278 -1 0.497488 \n",
"4 plain 2 453090728 -1 0.490946 \n",
"5 plain 1 586890871 -1 0.488610 \n",
"6 plain 1 784002041 -1 0.486264 \n",
"7 plain 10 536664405 -1 0.483417 \n",
"8 plain 10 286268469 -1 0.482362 \n",
"9 plain 1 846158399 -1 0.482240 \n",
"\n",
" status \n",
"0 COMPLETED \n",
"1 COMPLETED \n",
"2 COMPLETED \n",
"3 COMPLETED \n",
"4 COMPLETED \n",
"5 COMPLETED \n",
"6 COMPLETED \n",
"7 COMPLETED \n",
"8 COMPLETED \n",
"9 COMPLETED "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_results({'config.act_func':'rel'}, project)[:10]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Retrieve a file stored in the database as an artifact\n",
"best = runs.find({'status':'COMPLETED'}).sort('result', pymongo.DESCENDING)[0]\n",
"\n",
"with open('best_net.h5', 'wb') as f:\n",
" f.write(fs.get(best['artifacts'][0]).read())"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
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"nbformat_minor": 0
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