Created
August 7, 2019 02:27
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import kfp\n", | |
"import os" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"client = kfp.Client()\n", | |
"import datetime\n", | |
"iteration = datetime.datetime.now().strftime('%Y%m%d%H%M%S')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"if os.getenv(\"ML_PIPELINE_SERVICE_PORT\"):\n", | |
" try: \n", | |
" client.get_experiment(experiment_name='Hybrid Pipelines - The One with the Two steps')\n", | |
" except:\n", | |
" hybrid_experiment = client.create_experiment(name='Hybrid Pipelines - The One with the Two steps')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"if os.getenv(\"ML_PIPELINE_SERVICE_PORT\"):\n", | |
" run = client.run_pipeline(client.get_experiment(experiment_name='Hybrid Pipelines - The One with the Two steps').id, \n", | |
" 'hybrid_pipeline-'+str(iteration), 'hybrid_pipeline.tar.gz', \n", | |
" params={})\n" | |
] | |
} | |
], | |
"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": "3.7.3" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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