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Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
License: Creative Commons Zero v1.0 Universal
Jupyter Notebook 89.53% Python 10.40% Shell 0.08%
mlops serverless course feature-engineering feature-store machine-learning ml model-deployment
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davitbzh msellamitn pankajkumar002 shahineb jesseniagonzalezv polpel ovewh emfons cmroesch tabularaza27 manshap bob-zs amitkayal jimdowling myeducationalrepos meta-sean zachooper maco-data sanjivch wadleo agupta54 sen1 chimaobi-okite pierrot-lc tmikolajczyk icperso basalganglia mohamedbsh mrcodechef adrian-glinqvist carlosherrera3 chaserchap chanana bensnow6 iphyer amart85 dhananjay-mk niallguerin jimryan2021 nerdward rahul-yyc myatkaung coutinhodesousa bsenst denzilc heinjmbloemen jonnyod liskibruh danielobeng gowtham07 freddy4data abd-elr4hman cls2363 jpierre06 rajredison paulescu aschteroth fohria modinat-a tcho187 behalcyon magiclex jazir cbissiriou kjolibois italodutr4 sugiantolauw rambaldi-learning simonlmic vlavorini bralli99 mohankrishna12 ashiqrobin donoughregan srv-sh avjdataminer amitkml weisshorntech chidamnat vadim vishal-git gabrielmaicas patrickcmd vidyasagarbhargava aizzudin kerrzki007 hanweiz krishnamanoj-kota fesicmatej nickelbuck feranzie doxenix ammar1c jusnaini peterev-lw dkozal joseporiolayats ep-jingzhao bromy eddieamaitum
serverless-ml-course's Issues

Minor Version of Python Issue in Lab1

I'm following along with the lesson 1 lab and ran into an error with the iris feature and prediction pipeline.
After looking around, it seems like this was an issue with the minor version of python. Changing from 3.8.1 to 3.8.x in features-and-predictions.yml seemed to solve my problem.
A screenshot prior to the change:
A screenshot after:
Module 04 - Serverless User Interfaces for Machine Learning Systems.

Hi, I would like to know the set up of hopsworks is done in the .app file while delpoying the gradio app on huggingface. Like how do you login the hopsworks key.
Requirements.txt Causing Long Install Time in Lab1

In Lab1, the lack of versioning in requirements.txt seems to be causing pip to try and resolve dependencies. This results in around a 60 minute action vs the ~5 minute action in the first lab's walkthrough. Is there a workaround?
Below is the output from my action:
Run python -m pip install --upgrade pip
Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.16/x64/lib/python3.8/site-packages (22.3.1)
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Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 22.3.1
    Uninstalling pip-22.3.1:
      Successfully uninstalled pip-22.3.1
Successfully installed pip-23.0
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Collecting zipp>=0.5
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Collecting pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0
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Collecting pyzmq>=23.0
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Collecting markdown-it-py<3.0.0,>=2.1.0
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Collecting backports.zoneinfo
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Collecting pytz-deprecation-shim
  Downloading pytz_deprecation_shim-0.1.0.post0-py2.py3-none-any.whl (15 kB)
Collecting decorator>=3.4.0
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Collecting future
  Downloading future-0.18.3.tar.gz (840 kB)
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  Preparing metadata (setup.py): started
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Collecting thrift>=0.10.0
  Downloading thrift-0.16.0.tar.gz (59 kB)
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  Preparing metadata (setup.py): started
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Collecting greenlet!=0.4.17
  Downloading greenlet-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (618 kB)
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Collecting cffi>=1.12
  Downloading cffi-1.15.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (442 kB)
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Collecting smmap<6,>=3.0.1
  Downloading smmap-5.0.0-py3-none-any.whl (24 kB)
Collecting ipykernel>=4.5.1
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Collecting widgetsnbextension~=4.0
  Downloading widgetsnbextension-4.0.5-py3-none-any.whl (2.0 MB)
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Collecting jupyterlab-widgets~=3.0
  Downloading jupyterlab_widgets-3.0.5-py3-none-any.whl ([384](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:385) kB)
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Collecting ipython>=6.1.0
  Downloading ipython-8.9.0-py3-none-any.whl (783 kB)
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Collecting jsonpointer>=1.9
  Downloading jsonpointer-2.3-py2.py3-none-any.whl (7.8 kB)
Collecting mdurl~=0.1
  Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)
Collecting ruamel.yaml.clib>=0.1.2
  Downloading ruamel.yaml.clib-0.2.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (555 kB)
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Collecting tzdata
  Downloading tzdata-2022.7-py2.py3-none-any.whl (340 kB)
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Collecting pycparser
  Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)
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Collecting debugpy>=1.0
  Downloading debugpy-1.6.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)
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Collecting matplotlib-inline>=0.1
  Downloading matplotlib_inline-0.1.6-py3-none-any.whl (9.4 kB)
Collecting comm>=0.1.1
  Downloading comm-0.1.2-py3-none-any.whl (6.5 kB)
Collecting nest-asyncio
  Downloading nest_asyncio-1.5.6-py3-none-any.whl (5.2 kB)
Collecting psutil
  Downloading psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB)
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Collecting backcall
  Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB)
Collecting stack-data
  Downloading stack_data-0.6.2-py3-none-any.whl (24 kB)
Collecting pexpect>4.3
  Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB)
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Collecting jedi>=0.16
  Downloading jedi-0.18.2-py2.py3-none-any.whl (1.6 MB)
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Collecting prompt-toolkit<3.1.0,>=3.0.30
  Downloading prompt_toolkit-3.0.36-py3-none-any.whl ([386](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:387) kB)
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Collecting pickleshare
  Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB)
Collecting parso<0.9.0,>=0.8.0
  Downloading parso-0.8.3-py2.py3-none-any.whl (100 kB)
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Collecting ptyprocess>=0.5
  Downloading ptyprocess-0.7.0-py2.py3-none-any.whl (13 kB)
Collecting wcwidth
  Downloading wcwidth-0.2.6-py2.py3-none-any.whl (29 kB)
Collecting pure-eval
  Downloading pure_eval-0.2.2-py3-none-any.whl (11 kB)
Collecting asttokens>=2.1.0
  Downloading asttokens-2.2.1-py2.py3-none-any.whl (26 kB)
Collecting executing>=1.2.0
  Downloading executing-1.2.0-py2.py3-none-any.whl (24 kB)
Installing collected packages: webencodings, wcwidth, twofish, pytz, pyhumps, pyasn1, pure-eval, ptyprocess, pickleshare, parsedatetime, mistune, javaobj-py3, fastjsonschema, executing, confluent-kafka, backcall, zipp, widgetsnbextension, watchdog, urllib3, tzdata, typing-extensions, traitlets, tqdm, tornado, toolz, toml, tinycss2, threadpoolctl, termcolor, tenacity, soupsieve, smmap, six, semver, ruamel.yaml.clib, pyzmq, pyrsistent, pyparsing, PyMySQL, pympler, pygments, pycryptodomex, pycparser, pyasn1-modules, psutil, protobuf, prompt-toolkit, platformdirs, pkgutil-resolve-name, Pillow, pexpect, parso, pandocfilters, packaging, numpy, nest-asyncio, multidict, mock, mdurl, markupsafe, lxml, kiwisolver, jupyterlab-widgets, jupyterlab-pygments, jsonpointer, joblib, jmespath, idna, greenlet, future, frozenlist, fonttools, fastavro, entrypoints, defusedxml, decorator, debugpy, cycler, colorama, Click, charset-normalizer, certifi, cachetools, blinker, backports.zoneinfo, avro, attrs, async-timeout, yarl, validators, thrift, sqlalchemy, scipy, ruamel.yaml, requests, pytz-deprecation-shim, python-dateutil, pyjks, pyarrow, plotly, orderedmultidict, matplotlib-inline, markdown-it-py, jupyter-core, jsonpatch, jinja2, jedi, importlib-resources, importlib-metadata, gitdb, contourpy, comm, cffi, bleach, beautifulsoup4, asttokens, aiosignal, tzlocal, stack-data, scikit-learn, rich, pyhopshive, pydeck, pandas, matplotlib, jupyter-client, jsonschema, gitpython, furl, faker, cryptography, branca, botocore, aiohttp, seaborn, s3transfer, nbformat, ipython, folium, altair, streamlit, nbclient, ipykernel, boto3, streamlit_folium, nbconvert, ipywidgets, hsml, great_expectations, dataframe-image, hsfs, hopsworks
  DEPRECATION: twofish is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep[517](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:518)' option. Discussion can be found at https://github.com/pypa/pip/issues/8[559](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:560)
  Running setup.py install for twofish: started
  Running setup.py install for twofish: finished with status 'done'
  DEPRECATION: future is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep[517](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:518)' option. Discussion can be found at https://github.com/pypa/pip/issues/8[559](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:560)
  Running setup.py install for future: started
  Running setup.py install for future: finished with status 'done'
  DEPRECATION: avro is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for avro: started
  Running setup.py install for avro: finished with status 'done'
  DEPRECATION: validators is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for validators: started
  Running setup.py install for validators: finished with status 'done'
  DEPRECATION: thrift is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for thrift: started
  Running setup.py install for thrift: finished with status 'done'
  DEPRECATION: pyhopshive is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for pyhopshive: started
  Running setup.py install for pyhopshive: finished with status 'done'
  DEPRECATION: hsml is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for hsml: started
  Running setup.py install for hsml: finished with status 'done'
  DEPRECATION: hsfs is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for hsfs: started
  Running setup.py install for hsfs: finished with status 'done'
  DEPRECATION: hopsworks is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for hopsworks: started
  Running setup.py install for hopsworks: finished with status 'done'
Successfully installed Click-8.1.3 Pillow-9.4.0 PyMySQL-1.0.2 aiohttp-3.8.3 aiosignal-1.3.1 altair-4.2.2 asttokens-2.2.1 async-timeout-4.0.2 attrs-22.2.0 avro-1.10.2 backcall-0.2.0 backports.zoneinfo-0.2.1 beautifulsoup4-4.11.2 bleach-6.0.0 blinker-1.5 boto3-1.26.60 botocore-1.29.61 branca-0.6.0 cachetools-5.3.0 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-2.1.1 colorama-0.4.6 comm-0.1.2 confluent-kafka-1.8.2 contourpy-1.0.7 cryptography-39.0.0 cycler-0.11.0 dataframe-image-0.1.5 debugpy-1.6.6 decorator-5.1.1 defusedxml-0.7.1 entrypoints-0.4 executing-1.2.0 faker-16.6.1 fastavro-1.4.11 fastjsonschema-2.16.2 folium-0.14.0 fonttools-4.38.0 frozenlist-1.3.3 furl-2.1.3 future-0.18.3 gitdb-4.0.10 gitpython-3.1.30 great_expectations-0.14.12 greenlet-2.0.2 hopsworks-3.0.5 hsfs-3.0.5 hsml-3.0.3 idna-3.4 importlib-metadata-6.0.0 importlib-resources-5.10.2 ipykernel-6.20.2 ipython-8.9.0 ipywidgets-8.0.4 javaobj-py3-0.4.3 jedi-0.18.2 jinja2-3.0.3 jmespath-1.0.1 joblib-1.2.0 jsonpatch-1.32 jsonpointer-2.3 jsonschema-4.17.3 jupyter-client-8.0.2 jupyter-core-5.2.0 jupyterlab-pygments-0.2.2 jupyterlab-widgets-3.0.5 kiwisolver-1.4.4 lxml-4.9.2 markdown-it-py-2.1.0 markupsafe-2.0.1 matplotlib-3.6.3 matplotlib-inline-0.1.6 mdurl-0.1.2 mistune-0.8.4 mock-5.0.1 multidict-6.0.4 nbclient-0.7.2 nbconvert-6.5.4 nbformat-5.7.3 nest-asyncio-1.5.6 numpy-1.24.1 orderedmultidict-1.0.1 packaging-23.0 pandas-1.5.3 pandocfilters-1.5.0 parsedatetime-2.6 parso-0.8.3 pexpect-4.8.0 pickleshare-0.7.5 pkgutil-resolve-name-1.3.10 platformdirs-2.6.2 plotly-5.13.0 prompt-toolkit-3.0.36 protobuf-3.20.3 psutil-5.9.4 ptyprocess-0.7.0 pure-eval-0.2.2 pyarrow-11.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pycryptodomex-3.17 pydeck-0.8.0 pygments-2.14.0 pyhopshive-0.6.4.1.dev0 pyhumps-1.6.1 pyjks-20.0.0 pympler-1.0.1 pyparsing-2.4.7 pyrsistent-0.19.3 python-dateutil-2.8.2 pytz-2022.7.1 pytz-deprecation-shim-0.1.0.post0 pyzmq-25.0.0 requests-2.28.2 rich-13.3.1 ruamel.yaml-0.17.17 ruamel.yaml.clib-0.2.7 s3transfer-0.6.0 scikit-learn-1.2.1 scipy-1.10.0 seaborn-0.12.2 semver-2.13.0 six-1.16.0 smmap-5.0.0 soupsieve-2.3.2.post1 sqlalchemy-2.0.0 stack-data-0.6.2 streamlit-1.17.0 streamlit_folium-0.11.0 tenacity-8.1.0 termcolor-2.2.0 threadpoolctl-3.1.0 thrift-0.16.0 tinycss2-1.2.1 toml-0.10.2 toolz-0.12.0 tornado-6.2 tqdm-4.64.1 traitlets-5.9.0 twofish-0.3.0 typing-extensions-4.4.0 tzdata-2022.7 tzlocal-4.2 urllib3-1.26.14 validators-0.20.0 watchdog-2.2.1 wcwidth-0.2.6 webencodings-0.5.1 widgetsnbextension-4.0.5 yarl-1.8.2 zipp-3.12.0
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