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Merge pull request #568 from mlrun/1.6.x-dev
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merging dev
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aviaIguazio authored Jan 23, 2024
2 parents 3afb8c8 + fc6fcee commit 40c107e
Showing 1 changed file with 16 additions and 16 deletions.
32 changes: 16 additions & 16 deletions howto/converting-to-mlrun/mlrun-code.ipynb
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"output_type": "stream",
"text": [
"> 2022-08-28 12:13:59,457 [info] Started building image: .mlrun/func-nyc-taxi-dani-taxi:latest\n",
"\u001b[36mINFO\u001b[0m[0000] Retrieving image manifest datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80/quay.io/mlrun/mlrun:1.1.0-rc25 \n",
"\u001b[36mINFO\u001b[0m[0000] Retrieving image datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80/quay.io/mlrun/mlrun:1.1.0-rc25 from registry datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80 \n",
"\u001b[36mINFO\u001b[0m[0000] Built cross stage deps: map[] \n",
"\u001b[36mINFO\u001b[0m[0000] Retrieving image manifest datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80/quay.io/mlrun/mlrun:1.1.0-rc25 \n",
"\u001b[36mINFO\u001b[0m[0000] Returning cached image manifest \n",
"\u001b[36mINFO\u001b[0m[0000] Executing 0 build triggers \n",
"\u001b[36mINFO\u001b[0m[0000] Unpacking rootfs as cmd RUN python -m pip install lightgbm shapely requires it. \n",
"\u001b[36mINFO\u001b[0m[0028] RUN python -m pip install lightgbm shapely \n",
"\u001b[36mINFO\u001b[0m[0028] Taking snapshot of full filesystem... \n",
"\u001b[36mINFO\u001b[0m[0054] cmd: /bin/sh \n",
"\u001b[36mINFO\u001b[0m[0054] args: [-c python -m pip install lightgbm shapely] \n",
"\u001b[36mINFO\u001b[0m[0054] Running: [/bin/sh -c python -m pip install lightgbm shapely] \n",
"\u001B[36mINFO\u001B[0m[0000] Retrieving image manifest datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80/quay.io/mlrun/mlrun:1.1.0-rc25 \n",
"\u001B[36mINFO\u001B[0m[0000] Retrieving image datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80/quay.io/mlrun/mlrun:1.1.0-rc25 from registry datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80 \n",
"\u001B[36mINFO\u001B[0m[0000] Built cross stage deps: map[] \n",
"\u001B[36mINFO\u001B[0m[0000] Retrieving image manifest datanode-registry.iguazio-platform.app.vmdev93.lab.iguazeng.com:80/quay.io/mlrun/mlrun:1.1.0-rc25 \n",
"\u001B[36mINFO\u001B[0m[0000] Returning cached image manifest \n",
"\u001B[36mINFO\u001B[0m[0000] Executing 0 build triggers \n",
"\u001B[36mINFO\u001B[0m[0000] Unpacking rootfs as cmd RUN python -m pip install lightgbm shapely requires it. \n",
"\u001B[36mINFO\u001B[0m[0028] RUN python -m pip install lightgbm shapely \n",
"\u001B[36mINFO\u001B[0m[0028] Taking snapshot of full filesystem... \n",
"\u001B[36mINFO\u001B[0m[0054] cmd: /bin/sh \n",
"\u001B[36mINFO\u001B[0m[0054] args: [-c python -m pip install lightgbm shapely] \n",
"\u001B[36mINFO\u001B[0m[0054] Running: [/bin/sh -c python -m pip install lightgbm shapely] \n",
"Collecting lightgbm\n",
" Downloading lightgbm-3.3.2-py3-none-manylinux1_x86_64.whl (2.0 MB)\n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 9.4 MB/s eta 0:00:00\n",
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"WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\n",
"WARNING: You are using pip version 22.0.4; however, version 22.2.2 is available.\n",
"You should consider upgrading via the '/usr/local/bin/python -m pip install --upgrade pip' command.\n",
"\u001b[36mINFO\u001b[0m[0059] Taking snapshot of full filesystem... \n",
"\u001b[36mINFO\u001b[0m[0061] Pushing image to docker-registry.default-tenant.app.vmdev93.lab.iguazeng.com:80/mlrun/func-nyc-taxi-dani-taxi:latest \n",
"\u001b[36mINFO\u001b[0m[0061] Pushed docker-registry.default-tenant.app.vmdev93.lab.iguazeng.com:80/mlrun/func-nyc-taxi-dani-taxi@sha256:7dd3cd07d9c76b8b15d3130222c31b946c0f02b0fdd4a79dab7a9a361a6646a6 \n",
"\u001B[36mINFO\u001B[0m[0059] Taking snapshot of full filesystem... \n",
"\u001B[36mINFO\u001B[0m[0061] Pushing image to docker-registry.default-tenant.app.vmdev93.lab.iguazeng.com:80/mlrun/func-nyc-taxi-dani-taxi:latest \n",
"\u001B[36mINFO\u001B[0m[0061] Pushed docker-registry.default-tenant.app.vmdev93.lab.iguazeng.com:80/mlrun/func-nyc-taxi-dani-taxi@sha256:7dd3cd07d9c76b8b15d3130222c31b946c0f02b0fdd4a79dab7a9a361a6646a6 \n",
"\n"
]
},
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" zones_csv_path = mlrun.get_sample_path('data/Taxi/taxi_zones.csv')\n",
" \n",
" # build our ingestion function (container image)\n",
" builder = funcs['taxi'].deploy_step(skip_deployed=True)\n",
" builder = funcs['taxi'].deploy_step()\n",
" \n",
" # run the ingestion function with the new image and params\n",
" ingest = funcs['taxi'].as_step(\n",
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