forked from tzietkiewicz/aitech-ium
Merge pull request 'Zaktualizowano meteriały dotyczące Sacred' (#41) from tzietkiewicz/aitech-ium:master into master
Reviewed-on: #41
This commit is contained in:
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"\n",
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"## \n",
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"<div class=\"alert alert-block alert-info\">\n",
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"<div class=\"alert alert-block alert-info\">\n",
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"<h1> Inżynieria uczenia maszynowego </h1>\n",
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"<h1> Inżynieria uczenia maszynowego </h1>\n",
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"<h2> 6. <i>Jenkins, część 2.</i> [laboratoria]</h2> \n",
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"<h2> 6. <i>Jenkins, część 2.</i> [laboratoria]</h2> \n",
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"source": [
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"source": [
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"## Zadanie 1 [5 pkt] (termin: 2 V 2022)\n",
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"## Zadanie 1 [5 pkt] (termin: 2023-05-12)\n",
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"1. Stwórz na Jenkins projekt typu Multibranch pipeline o nazwie s123456-training\n",
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"1. Stwórz na Jenkins projekt typu Multibranch pipeline o nazwie s123456-training\n",
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" Projekt ten powinien przeprowadzać trenowanie modelu korzystając z kodu przygotowanego na poprzednich zajęciach. Trenowanie powinno odbywać się wewnątrz kontenera docker. [2 pkt]\n",
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" Projekt ten powinien przeprowadzać trenowanie modelu korzystając z kodu przygotowanego na poprzednich zajęciach. Trenowanie powinno odbywać się wewnątrz kontenera docker. [2 pkt]\n",
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"2. Projekt powinien odpalać się automatycznie po zakończonym budowaniu projektu s123456-create-dataset i kopiować z niego zbiór danych [1 pkt]\n",
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"2. Projekt powinien odpalać się automatycznie po zakończonym budowaniu projektu s123456-create-dataset i kopiować z niego zbiór danych [1 pkt]\n",
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}
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"source": [
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"source": [
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"## Zadanie 2 [15 pkt] (termin: 2023-05-09)\n",
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"## Zadanie 2 [15 pkt] (termin: 2023-05-12)\n",
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"1. Stwórz na Jenkins projekt typu Multibranch pipeline o nazwie s123456-evaluation.eg\n",
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"1. Stwórz na Jenkins projekt typu Multibranch pipeline o nazwie s123456-evaluation.eg\n",
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" Projekt ten będzie przeprowadzał ewaluację modelu stworzonego w s123456-training na danych ze zbioru testującego [1 pkt]\n",
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" Projekt ten będzie przeprowadzał ewaluację modelu stworzonego w s123456-training na danych ze zbioru testującego [1 pkt]\n",
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"2. Ewaluacja polega na:\n",
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"2. Ewaluacja polega na:\n",
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@ -12,7 +12,7 @@
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"<div class=\"alert alert-block alert-info\">\n",
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"<div class=\"alert alert-block alert-info\">\n",
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"<h1> Inżynieria uczenia maszynowego </h1>\n",
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"<h1> Inżynieria uczenia maszynowego </h1>\n",
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"<h2> 7. <i>Sacred</i> [laboratoria]</h2> \n",
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"<h2> 7. <i>Sacred</i> [laboratoria]</h2> \n",
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"<h3> Tomasz Ziętkiewicz (2021)</h3>\n",
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"<h3> Tomasz Ziętkiewicz (2023)</h3>\n",
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"</div>\n",
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"</div>\n",
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"\n",
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"\n",
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""
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""
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" <cite>—https://github.com/IDSIA/sacred / [Sens życia według Monty Pythona](https://en.wikipedia.org/wiki/Every_Sperm_Is_Sacred) </cite>"
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" <cite>—https://github.com/IDSIA/sacred / [Sens życia według Monty Pythona](https://en.wikipedia.org/wiki/Every_Sperm_Is_Sacred) </cite>"
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}
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},
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"source": [
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"- https://sacred.readthedocs.io/ - dokumentacja\n",
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"- https://github.com/IDSIA/sacred - Github\n",
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"- Open source\n",
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"- Prosty w użyciu\n",
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"- Wiele webowych frontendów"
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]
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"output_type": "stream",
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"Collecting sacred\n",
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" Downloading https://files.pythonhosted.org/packages/f4/8c/b99f668e8ca9747dcd374bb46cac808e58f3cb8e446df1b3e667f6be9778/sacred-0.8.2-py2.py3-none-any.whl (106kB)\n",
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"\u001b[?25hCollecting py-cpuinfo>=4.0 (from sacred)\n",
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" Downloading https://files.pythonhosted.org/packages/e6/ba/77120e44cbe9719152415b97d5bfb29f4053ee987d6cb63f55ce7d50fadc/py-cpuinfo-8.0.0.tar.gz (99kB)\n",
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"\u001b[?25hCollecting wrapt<2.0,>=1.0 (from sacred)\n",
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" Downloading wrapt-1.15.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78 kB)\n",
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" Downloading https://files.pythonhosted.org/packages/ba/8c/3d3dff02ae905157ba417b801f4a7aa4e6fedbc43882e9c765b7aae438ac/wrapt-1.14.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (74kB)\n",
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"\u001b[?25hCollecting colorama>=0.4\n",
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"\u001b[?25hCollecting jsonpickle<2.0,>=1.2 (from sacred)\n",
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" Downloading docopt-0.6.2.tar.gz (25 kB)\n",
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" Downloading https://files.pythonhosted.org/packages/e9/ec/35910cf6ab87f8a013036f01f732f871a23b6058123a7bd0c7b08fbbc937/jsonpickle-1.5.2-py2.py3-none-any.whl\n",
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"\u001b[33m Cache entry deserialization failed, entry ignored\u001b[0m\n",
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"\u001b[?25hRequirement already satisfied: packaging>=18.0 in /home/tomek/miniconda3/lib/python3.9/site-packages (from sacred) (23.0)\n",
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" Downloading https://files.pythonhosted.org/packages/44/98/5b86278fbbf250d239ae0ecb724f8572af1c91f4a11edf4d36a206189440/colorama-0.4.4-py2.py3-none-any.whl\n",
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"Requirement already satisfied: six in /home/tomek/miniconda3/lib/python3.9/site-packages (from munch<3.0,>=2.5->sacred) (1.16.0)\n",
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" Downloading https://files.pythonhosted.org/packages/cc/ab/85d8da5c9a45e072301beb37ad7f833cd344e04c817d97e0cc75681d248f/munch-2.5.0-py2.py3-none-any.whl\n",
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"\u001b[?25hCollecting smmap<6,>=3.0.1\n",
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"Collecting packaging>=18.0 (from sacred)\n",
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" Using cached smmap-5.0.0-py3-none-any.whl (24 kB)\n",
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"Building wheels for collected packages: docopt\n",
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" Using cached https://files.pythonhosted.org/packages/05/8e/8de486cbd03baba4deef4142bd643a3e7bbe954a784dc1bb17142572d127/packaging-21.3-py3-none-any.whl\n",
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" Building wheel for docopt (setup.py) ... \u001b[?25ldone\n",
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"Collecting GitPython (from sacred)\n",
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"\u001b[?25h Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13723 sha256=9ae6354916cc7817db186faf89036b67a6562e0391c04e901e72698d9ce5bd8b\n",
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"\u001b[33m Cache entry deserialization failed, entry ignored\u001b[0m\n",
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" Stored in directory: /home/tomek/.cache/pip/wheels/70/4a/46/1309fc853b8d395e60bafaf1b6df7845bdd82c95fd59dd8d2b\n",
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" Downloading https://files.pythonhosted.org/packages/55/60/f884f01eef2a7255875862ec1b12d57d74113ec6e8d9e16c4d254cd6aa3c/GitPython-3.1.20-py3-none-any.whl (178kB)\n",
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"Successfully built docopt\n",
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"\u001b[K 100% |████████████████████████████████| 184kB 1.9MB/s ta 0:00:01\n",
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"Installing collected packages: smmap, gitdb, wrapt, py-cpuinfo, munch, jsonpickle, GitPython, docopt, colorama, sacred\n",
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"\u001b[?25hCollecting docopt<1.0,>=0.3 (from sacred)\n",
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"Successfully installed GitPython-3.1.31 colorama-0.4.6 docopt-0.6.2 gitdb-4.0.10 jsonpickle-3.0.1 munch-2.5.0 py-cpuinfo-9.0.0 sacred-0.8.4 smmap-5.0.0 wrapt-1.15.0\n"
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" Downloading https://files.pythonhosted.org/packages/a2/55/8f8cab2afd404cf578136ef2cc5dfb50baa1761b68c9da1fb1e4eed343c9/docopt-0.6.2.tar.gz\n",
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"Collecting importlib-metadata; python_version < \"3.8\" (from jsonpickle<2.0,>=1.2->sacred)\n",
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"Collecting gitdb<5,>=4.0.1 (from GitPython->sacred)\n",
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" Downloading https://files.pythonhosted.org/packages/a3/7c/5d747655049bfbf75b5fcec57c8115896cb78d6fafa84f6d3ef4c0f13a98/gitdb-4.0.9-py3-none-any.whl (63kB)\n",
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" Running setup.py bdist_wheel for py-cpuinfo ... \u001b[?25ldone\n",
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"\u001b[?25h Stored in directory: /home/tomek/.cache/pip/wheels/2e/15/f5/aa2a056d223903b52cf4870134e3a01df0c723816835dd08db\n",
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"\u001b[?25h Stored in directory: /home/tomek/.cache/pip/wheels/9b/04/dd/7daf4150b6d9b12949298737de9431a324d4b797ffd63f526e\n",
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"Successfully built py-cpuinfo docopt\n",
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"Installing collected packages: py-cpuinfo, wrapt, typing-extensions, zipp, importlib-metadata, jsonpickle, colorama, six, munch, pyparsing, packaging, smmap, gitdb, GitPython, docopt, sacred\n",
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"Successfully installed GitPython-3.1.20 colorama-0.4.4 docopt-0.6.2 gitdb-4.0.9 importlib-metadata-4.8.3 jsonpickle-1.5.2 munch-2.5.0 packaging-21.3 py-cpuinfo-8.0.0 pyparsing-3.0.8 sacred-0.8.2 six-1.16.0 smmap-5.0.0 typing-extensions-4.1.1 wrapt-1.14.0 zipp-3.6.0\n"
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" - podstawowe informacje o środowisku (maszynie), na której przeprowadzono eksperyment\n",
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" - podstawowe informacje o środowisku (maszynie), na której przeprowadzono eksperyment\n",
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" - użyte pliki źródłowe\n",
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" - użyte pliki źródłowe\n",
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" - użyte zależności i ich wersje\n",
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" - użyte zależności i ich wersje\n",
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" - pliki otwarte za pomocą ex.open_resource\n",
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" - pliki otwarte za pomocą [ex.open_resource()](https://sacred.readthedocs.io/en/stable/apidoc.html#sacred.Experiment.open_resource) albo [ex.add_resource()](https://sacred.readthedocs.io/en/stable/apidoc.html#sacred.Experiment.add_resource)\n",
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" - pliki dodane za pomocą ex.add_artifact"
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" - pliki dodane za pomocą [ex.add_artifact()](https://sacred.readthedocs.io/en/stable/apidoc.html#sacred.run.Run.add_artifact)"
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"metadata": {},
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"outputs": [],
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"source": [
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"!ls -l runs"
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]
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"```"
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||||||
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"## Otwieranie zasobów\n",
|
||||||
|
"- Zmiana danych wejściowych wpłwa w oczywisty sposób na wyniki\n",
|
||||||
|
"- Dlatego warto śledzić te zmiany za pomocą:\n",
|
||||||
|
" - [ex.open_resource()](https://sacred.readthedocs.io/en/stable/apidoc.html#sacred.Experiment.open_resource)\n",
|
||||||
|
" - [ex.add_resource()](https://sacred.readthedocs.io/en/stable/apidoc.html#sacred.Experiment.add_resource)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 6,
|
||||||
|
"metadata": {
|
||||||
|
"slideshow": {
|
||||||
|
"slide_type": "slide"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"INFO - resources - Running command 'my_main'\n",
|
||||||
|
"INFO - resources - Started run with ID \"3\"\n",
|
||||||
|
"INFO - resources - Completed after 0:00:00\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Id,SepalLengthCm,SepalWidthCm,PetalLengthCm,PetalWidthCm,Species\n",
|
||||||
|
"\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"<sacred.run.Run at 0x7f9b8821cd90>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 6,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"from sacred import Experiment\n",
|
||||||
|
"from sacred.observers import FileStorageObserver\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"ex = Experiment(\"resources\", interactive=True)\n",
|
||||||
|
"ex.observers.append(FileStorageObserver('my_runs'))\n",
|
||||||
|
"\n",
|
||||||
|
"@ex.main\n",
|
||||||
|
"def my_main():\n",
|
||||||
|
" f = ex.open_resource(\"Iris.csv\", \"r\")\n",
|
||||||
|
" print(f.readline())\n",
|
||||||
|
" \n",
|
||||||
|
"ex.run()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 7,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"total 8\r\n",
|
||||||
|
"-rw-r--r-- 1 tomek tomek 5107 Apr 12 15:11 Iris_717820ef0af287ff346c5cabfb4c612c.csv\r\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"!ls -l my_runs/_resources"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 9,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"my_runs/3/run.json: \"name\": \"resources\",\r\n",
|
||||||
|
"my_runs/3/run.json: \"resources\": [\r\n",
|
||||||
|
"my_runs/3/run.json: \"my_runs/_resources/Iris_717820ef0af287ff346c5cabfb4c612c.csv\"\r\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"!grep -e \"resources\" -R my_runs/3"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
@ -1601,11 +1696,12 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"source": [
|
"source": [
|
||||||
"## Zadanie [15 pkt] (do 9 V 2021)\n",
|
"## Zadanie [15 pkt] (do 2023-05-12)\n",
|
||||||
"1. \"Owiń\" wywołanie swojego eksperymentu za pomocą Sacred, w ten sposób, żeby zapisane zostały [10pkt]:\n",
|
"1. \"Owiń\" wywołanie swojego eksperymentu za pomocą Sacred, w ten sposób, żeby zapisane zostały [10pkt]:\n",
|
||||||
" - parametry, z którymi wywołany był trening\n",
|
" - parametry, z którymi wywołany był trening\n",
|
||||||
" - powstały plik z modelem (jako artefakt)\n",
|
" - powstały plik z modelem (jako artefakt)\n",
|
||||||
" - kod źródłowy użyty do przeprowadzenia treningu\n",
|
" - kod źródłowy użyty do przeprowadzenia treningu\n",
|
||||||
|
" - pliki wejściowe otwarte za pomocą open_resource\n",
|
||||||
" - metryki\n",
|
" - metryki\n",
|
||||||
" \n",
|
" \n",
|
||||||
"Jako nazwę eksperymentu użyj swojego numeru indeksu tak, żebyś mogła/mógł je odnaleźć w Omniboard\n",
|
"Jako nazwę eksperymentu użyj swojego numeru indeksu tak, żebyś mogła/mógł je odnaleźć w Omniboard\n",
|
||||||
@ -1621,7 +1717,7 @@
|
|||||||
"celltoolbar": "Slideshow",
|
"celltoolbar": "Slideshow",
|
||||||
"email": "tomasz.zietkiewicz@amu.edu.pl",
|
"email": "tomasz.zietkiewicz@amu.edu.pl",
|
||||||
"kernelspec": {
|
"kernelspec": {
|
||||||
"display_name": "Python 3 (ipykernel)",
|
"display_name": "Python 3",
|
||||||
"language": "python",
|
"language": "python",
|
||||||
"name": "python3"
|
"name": "python3"
|
||||||
},
|
},
|
||||||
@ -1636,7 +1732,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.10.4"
|
"version": "3.9.12"
|
||||||
},
|
},
|
||||||
"slideshow": {
|
"slideshow": {
|
||||||
"slide_type": "slide"
|
"slide_type": "slide"
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user