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@brianray
Created November 5, 2019 04:14
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"from google.cloud import automl_v1beta1 as automl"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# to regenrate test file\n",
"\n",
"# import pandas as pd\n",
"# df = pd.read_csv(\"file_out_2495_tags.csv\")\n",
"# with open(\"test_record.txt\", \"w\") as f:\n",
"# for col in df.columns:\n",
"# f.write(\"# {}: {}\\n\".format(col, df.loc[0, col]))\n",
"# manualy remove The Beatles or Like The Beatles\n",
"\n",
"def clean(x):\n",
" x = x.strip()\n",
" if x == \"nan\":\n",
" return None\n",
" try:\n",
" return float(x)\n",
" except:\n",
" return x\n",
"\n",
"test_record = [x.split(':') for x in open('test_record.txt').read().strip().split('\\n')]\n",
"inputs = [clean(x[1]) for x in test_record]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"payload {\n",
" tables {\n",
" score: 0.9896599650382996\n",
" value {\n",
" string_value: \"True\"\n",
" }\n",
" }\n",
"}\n",
"payload {\n",
" tables {\n",
" score: 0.010340098291635513\n",
" value {\n",
" string_value: \"False\"\n",
" }\n",
" }\n",
"}"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"project_id = 'mwpmltr'\n",
"compute_region = 'us-central1'\n",
"model_display_name = 'beatles_machine_l_20191104025339'\n",
"\n",
"\n",
"client = automl.TablesClient(project=project_id, region=compute_region)\n",
"\n",
"response = client.predict(\n",
" model_display_name=model_display_name,\n",
" inputs=inputs)\n",
"response"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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