NVIDIA / AutoGluon - 錯誤排除

NVIDIA / AutoGluon - 錯誤排除 === ###### tags: `NVIDIA` ###### tags: `NVIDIA`, `AutoGluon`, `AutoML` ![](https://i.imgur.com/VxfOFtV.png =50%x) [TOC] ## 安裝失敗訊息 > 在不同的 image base 上，進行安裝 AutoGluon ### 跟 auto-sklearn 的衝突 - base: auto-sklearn -> autogluon ``` ERROR: auto-sklearn 0.14.7 has requirement dask>=2021.12, but you'll have dask 2021.11.2 which is incompatible. ERROR: auto-sklearn 0.14.7 has requirement scikit-learn<0.25.0,>=0.24.0, but you'll have scikit-learn 1.0.2 which is incompatible. ``` - base: autogluon -> auto-sklearn ``` ERROR: distributed 2021.11.2 has requirement dask==2021.11.2, but you'll have dask 2022.9.0 which is incompatible. ERROR: autogluon-features 0.5.2 has requirement scikit-learn<1.1,>=1.0.0, but you'll have scikit-learn 0.24.2 which is incompatible. ERROR: autogluon-core 0.5.2 has requirement dask<=2021.11.2,>=2021.09.1, but you'll have dask 2022.9.0 which is incompatible. ERROR: autogluon-core 0.5.2 has requirement scikit-learn<1.1,>=1.0.0, but you'll have scikit-learn 0.24.2 which is incompatible. ERROR: autogluon-multimodal 0.5.2 has requirement scikit-learn<1.1,>=1.0.0, but you'll have scikit-learn 0.24.2 which is incompatible. ERROR: autogluon-timeseries 0.5.2 has requirement psutil<5.9,>=5.7.3, but you'll have psutil 5.9.1 which is incompatible. ERROR: autogluon-tabular 0.5.2 has requirement scikit-learn<1.1,>=1.0.0, but you'll have scikit-learn 0.24.2 which is incompatible. ``` ### ml-sklearn:v1 `pip3 install autogluon` ``` ERROR: auto-sklearn 0.14.7 has requirement dask>=2021.12, but you'll have dask 2021.11.2 which is incompatible. ERROR: auto-sklearn 0.14.7 has requirement scikit-learn<0.25.0,>=0.24.0, but you'll have scikit-learn 1.0.2 which is incompatible. ERROR: pytorch-lightning 1.6.5 has requirement typing-extensions>=4.0.0, but you'll have typing-extensions 3.10.0.2 which is incompatible. ERROR: autogluon-contrib-nlp 0.0.1b20220208 has requirement sentencepiece==0.1.95, but you'll have sentencepiece 0.1.97 which is incompatible. ERROR: gluonts 0.9.9 has requirement typing-extensions~=4.0, but you'll have typing-extensions 3.10.0.2 which is incompatible. ERROR: sktime 0.11.4 has requirement numpy<1.22,>=1.21.0, but you'll have numpy 1.22.4 which is incompatible. ERROR: autogluon-timeseries 0.5.2 has requirement psutil<5.9,>=5.7.3, but you'll have psutil 5.9.1 which is incompatible. ``` ``` # newer ERROR: ray 1.13.0 has requirement click<=8.0.4,>=7.0, but you'll have click 8.1.3 which is incompatible. ERROR: numba 0.56.2 has requirement setuptools<60, but you'll have setuptools 65.3.0 which is incompatible. ``` - ### :warning: [numba 0.56.2 (latest)](https://pypi.org/project/numba/#history) - `setuptools<60` - ### Pass (final solution) - `pip uninstall -y auto-sklearn` - `pip install -U "setuptools<60" wheel` - `setuptools`: `45.2.0` -> `59.8.0` - `wheel`: `0.34.2` -> `0.37.1` - ~~`pip install -U "pycodestyle<2.8.0,>=2.7.0" kfp typing-extensions~=4.0`~~ - `pip install -U kfp typing-extensions~=4.0` - `pycodestyle`: `2.7.0` -> - `kfp`: `1.8.11` -> `1.8.13` - `typing-extensions`: `3.10.0.2` -> `4.3.0` - `pip install sentencepiece==0.1.95` - `pip install "numpy<1.22,>=1.21.0"` - ~~`pip install "click<=8.0.4,>=7.0"`~~ - `click`: `1.7.2` - `pip install -U "psutil<5.9,>=5.7.3"` - `psutil`: `5.9.1` -> `5.8.0` - ### Failed (log & history) - `pip install -U elyra` > 升版理由： > > ERROR: kfp 1.8.11 has requirement typing-extensions<4,>=3.7.4; python_version < “3.9”, but you’ll have typing-extensions 4.3.0 which is incompatible. > > logs: > flake8 4.0.1 has requirement pycodestyle<2.9.0,>=2.8.0, but you'll have pycodestyle 2.7.0 which is incompatible. > - `pip install -U "pycodestyle<2.9.0,>=2.8.0"` > > after: > - `3.11.1` - `pip install typing-extensions~=4.0` > ERROR: kfp 1.8.11 has requirement typing-extensions<4,>=3.7.4; python_version < "3.9", but you'll have typing-extensions 4.3.0 which is incompatible. - `pip install "psutil<5.9,>=5.7.3"` > auto-sklearn 0.14.7 requires dask>=2021.12, but you have dask 2021.11.2 which is incompatible. > > auto-sklearn 0.14.7 requires scikit-learn<0.25.0,>=0.24.0, but you have scikit-learn 1.0.2 which is incompatible. ### ubuntu20.04-python3.8 - `pip3 install -U "setuptools" wheel ` - ` pip install torch==1.12+cpu torchvision==0.13.0+cpu torchtext==0.13.0 -f https://download.pytorch.org/whl/cpu/torch_stable.html ` - `numpy`: `1.23.2` - not found: pydantic - not found: sentencepiece - not found: psutil - `pip3 install autogluon` ``` ERROR: ray 1.13.0 has requirement click<=8.0.4,>=7.0, but you'll have click 8.1.3 which is incompatible. ERROR: thinc 8.1.0 has requirement pydantic!=1.8,!=1.8.1,<1.10.0,>=1.7.4, but you'll have pydantic 1.10.1 which is incompatible. ERROR: spacy 3.4.1 has requirement pydantic!=1.8,!=1.8.1,<1.10.0,>=1.7.4, but you'll have pydantic 1.10.1 which is incompatible. ERROR: autogluon-contrib-nlp 0.0.1b20220208 has requirement sentencepiece==0.1.95, but you'll have sentencepiece 0.1.97 which is incompatible. ERROR: sktime 0.11.4 has requirement numpy<1.22,>=1.21.0, but you'll have numpy 1.22.4 which is incompatible. ERROR: autogluon-timeseries 0.5.2 has requirement psutil<5.9,>=5.7.3, but you'll have psutil 5.9.1 which is incompatible. ``` ``` #newer ERROR: numba 0.56.2 has requirement setuptools<60, but you'll have setuptools 65.3.0 which is incompatible. ``` - `pip install -U "setuptools<60" wheel` - `pip install "click<=8.0.4,>=7.0"` - `click`: `7.1.2` - `pip install "pydantic!=1.8,!=1.8.1,<1.10.0,>=1.7.4"` - `pip install "sentencepiece==0.1.95"` - `pip install "numpy<1.22,>=1.21.0"` - `numpy`: `1.21.6` - `pip install "psutil<5.9,>=5.7.3"` - `psutil`: `5.8.0` :::info :bulb: **完整指令** ``` pip install -U "setuptools<60" wheel pip install torch==1.12+cpu torchvision==0.13.0+cpu torchtext==0.13.0 -f https://download.pytorch.org/whl/cpu/torch_stable.html pip install "click<=8.0.4,>=7.0" pip install "pydantic!=1.8,!=1.8.1,<1.10.0,>=1.7.4" pip install "sentencepiece==0.1.95" pip install "numpy<1.22,>=1.21.0" pip install "psutil<5.9,>=5.7.3" pip install autogluon ``` ::: ### notebook / RAPIDS-22.04 `pip3 install -U setuptools wheel` ``` ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. cudf 22.4.0 requires cupy-cuda115, which is not installed. panel 0.12.7 requires setuptools<61,>=42, but you have setuptools 65.3.0 which is incompatible. dask-cuda 22.4.0 requires click==8.0.4, but you have click 7.1.2 which is incompatible. ``` - check - `pip install cupy-cuda115` - `pip install -U click==8.0.4` ``` elyra 3.6.0 requires click<8,>=7.1.1, but you have click 8.1.3 which is incompatible. dask-cuda 22.4.0 requires click==8.0.4, but you have click 8.1.3 which is incompatible. ``` [![](https://i.imgur.com/eooJ3ce.png)](https://i.imgur.com/eooJ3ce.png) - `pip show elyra` -> elyra==3.11.0 `pip3 install autogluon` ``` ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. dask-cudf 22.4.0 requires cupy-cuda115, which is not installed. cudf 22.4.0 requires cupy-cuda115, which is not installed. kfp 1.8.12 requires typing-extensions<4,>=3.7.4; python_version < "3.9", but you have typing-extensions 4.3.0 which is incompatible. dask-cudf 22.4.0 requires dask==2022.03.0, but you have dask 2021.11.2 which is incompatible. dask-cudf 22.4.0 requires distributed==2022.03.0, but you have distributed 2021.11.2 which is incompatible. dask-cuda 22.4.0 requires click==8.0.4, but you have click 7.1.2 which is incompatible. dask-cuda 22.4.0 requires dask==2022.03.0, but you have dask 2021.11.2 which is incompatible. dask-cuda 22.4.0 requires distributed==2022.03.0, but you have distributed 2021.11.2 which is incompatible. ``` [![](https://i.imgur.com/OLbcJmj.png)](https://i.imgur.com/OLbcJmj.png) 暫時解法： ```bash pip install -U pip # cudf 22.4.0 requires cupy-cuda115, which is not installed. pip install cupy-cuda115 # kfp 1.8.12 requires typing-extensions<4,>=3.7.4; python_version < "3.9", but you have typing-extensions 4.3.0 which is incompatible. # dask-cuda 22.4.0 requires click==8.0.4, but you have click 8.1.3 which is incompatible. # panel 0.12.7 requires setuptools<61,>=42, but you have setuptools 65.3.0 which is incompatible. pip install -U elyra kfp click==8.0.4 "setuptools<61,>=42" # elyra==3.11.1 # kfp==1.8.13 # ``` <hr> ## autogluon-core 相依性 ``` $ johnnydep autogluon-core dist=autogluon-core parent=None dist=autogluon.common==0.5.2 parent=autogluon-core dist=boto3 parent=autogluon-core dist=dask<=2021.11.2,>=2021.09.1 parent=autogluon-core dist=distributed<=2021.11.2,>=2021.09.1 parent=autogluon-core dist=matplotlib parent=autogluon-core dist=numpy<1.23,>=1.21 parent=autogluon-core dist=pandas!=1.4.0,<1.5,>=1.2.5 parent=autogluon-core dist=requests parent=autogluon-core dist=scikit-learn<1.1,>=1.0.0 parent=autogluon-core dist=scipy<1.8.0,>=1.5.4 parent=autogluon-core dist=tqdm>=4.38.0 parent=autogluon-core name summary ----------------------------------------------- ---------------------------------------------------------------------------------------------------------- autogluon-core AutoML for Image, Text, and Tabular Data ├── autogluon.common==0.5.2 AutoML for Image, Text, and Tabular Data │ ├── boto3 The AWS SDK for Python │ │ ├── botocore<1.28.0,>=1.27.65 Low-level, data-driven core of boto 3. │ │ │ ├── jmespath<2.0.0,>=0.7.1 JSON Matching Expressions │ │ │ ├── python-dateutil<3.0.0,>=2.1 Extensions to the standard Python datetime module │ │ │ │ └── six>=1.5 Python 2 and 3 compatibility utilities │ │ │ └── urllib3<1.27,>=1.25.4 HTTP library with thread-safe connection pooling, file post, and more. │ │ ├── jmespath<2.0.0,>=0.7.1 JSON Matching Expressions │ │ └── s3transfer<0.7.0,>=0.6.0 An Amazon S3 Transfer Manager │ │ └── botocore<2.0a.0,>=1.12.36 Low-level, data-driven core of boto 3. │ │ ├── jmespath<2.0.0,>=0.7.1 JSON Matching Expressions │ │ ├── python-dateutil<3.0.0,>=2.1 Extensions to the standard Python datetime module │ │ │ └── six>=1.5 Python 2 and 3 compatibility utilities │ │ └── urllib3<1.27,>=1.25.4 HTTP library with thread-safe connection pooling, file post, and more. │ ├── numpy<1.23,>=1.21 NumPy is the fundamental package for array computing with Python. │ └── pandas!=1.4.0,<1.5,>=1.2.5 Powerful data structures for data analysis, time series, and statistics │ ├── numpy>=1.18.5 NumPy is the fundamental package for array computing with Python. │ ├── python-dateutil>=2.8.1 Extensions to the standard Python datetime module │ │ └── six>=1.5 Python 2 and 3 compatibility utilities │ └── pytz>=2020.1 World timezone definitions, modern and historical ├── boto3 The AWS SDK for Python │ ├── botocore<1.28.0,>=1.27.65 Low-level, data-driven core of boto 3. │ │ ├── jmespath<2.0.0,>=0.7.1 JSON Matching Expressions │ │ ├── python-dateutil<3.0.0,>=2.1 Extensions to the standard Python datetime module │ │ │ └── six>=1.5 Python 2 and 3 compatibility utilities │ │ └── urllib3<1.27,>=1.25.4 HTTP library with thread-safe connection pooling, file post, and more. │ ├── jmespath<2.0.0,>=0.7.1 JSON Matching Expressions │ └── s3transfer<0.7.0,>=0.6.0 An Amazon S3 Transfer Manager │ └── botocore<2.0a.0,>=1.12.36 Low-level, data-driven core of boto 3. │ ├── jmespath<2.0.0,>=0.7.1 JSON Matching Expressions │ ├── python-dateutil<3.0.0,>=2.1 Extensions to the standard Python datetime module │ │ └── six>=1.5 Python 2 and 3 compatibility utilities │ └── urllib3<1.27,>=1.25.4 HTTP library with thread-safe connection pooling, file post, and more. ├── dask<=2021.11.2,>=2021.09.1 Parallel PyData with Task Scheduling │ ├── cloudpickle>=1.1.1 Extended pickling support for Python objects │ ├── fsspec>=0.6.0 File-system specification │ ├── packaging>=20.0 Core utilities for Python packages │ │ └── pyparsing!=3.0.5,>=2.0.2 pyparsing module - Classes and methods to define and execute parsing grammars │ ├── partd>=0.3.10 Appendable key-value storage │ │ ├── locket File-based locks for Python on Linux and Windows │ │ └── toolz List processing tools and functional utilities │ ├── pyyaml YAML parser and emitter for Python │ └── toolz>=0.8.2 List processing tools and functional utilities ├── distributed<=2021.11.2,>=2021.09.1 Distributed scheduler for Dask │ ├── click>=6.6 Composable command line interface toolkit │ ├── cloudpickle>=1.5.0 Extended pickling support for Python objects │ ├── dask==2021.11.2 Parallel PyData with Task Scheduling │ │ ├── cloudpickle>=1.1.1 Extended pickling support for Python objects │ │ ├── fsspec>=0.6.0 File-system specification │ │ ├── packaging>=20.0 Core utilities for Python packages │ │ │ └── pyparsing!=3.0.5,>=2.0.2 pyparsing module - Classes and methods to define and execute parsing grammars │ │ ├── partd>=0.3.10 Appendable key-value storage │ │ │ ├── locket File-based locks for Python on Linux and Windows │ │ │ └── toolz List processing tools and functional utilities │ │ ├── pyyaml YAML parser and emitter for Python │ │ └── toolz>=0.8.2 List processing tools and functional utilities │ ├── jinja2 A very fast and expressive template engine. │ │ └── MarkupSafe>=2.0 Safely add untrusted strings to HTML/XML markup. │ ├── msgpack>=0.6.0 MessagePack serializer │ ├── psutil>=5.0 Cross-platform lib for process and system monitoring in Python. │ ├── pyyaml YAML parser and emitter for Python │ ├── setuptools Easily download, build, install, upgrade, and uninstall Python packages │ ├── sortedcontainers!=2.0.0,!=2.0.1 Sorted Containers -- Sorted List, Sorted Dict, Sorted Set │ ├── tblib>=1.6.0 Traceback serialization library. │ ├── toolz>=0.8.2 List processing tools and functional utilities │ ├── tornado>=6.0.3 Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. │ └── zict>=0.1.3 Mutable mapping tools │ └── heapdict a heap with decrease-key and increase-key operations ├── matplotlib Python plotting package │ ├── cycler>=0.10 Composable style cycles │ ├── fonttools>=4.22.0 Tools to manipulate font files │ ├── kiwisolver>=1.0.1 A fast implementation of the Cassowary constraint solver │ ├── numpy>=1.17 NumPy is the fundamental package for array computing with Python. │ ├── packaging>=20.0 Core utilities for Python packages │ │ └── pyparsing!=3.0.5,>=2.0.2 pyparsing module - Classes and methods to define and execute parsing grammars │ ├── pillow>=6.2.0 Python Imaging Library (Fork) │ ├── pyparsing>=2.2.1 pyparsing module - Classes and methods to define and execute parsing grammars │ └── python-dateutil>=2.7 Extensions to the standard Python datetime module │ └── six>=1.5 Python 2 and 3 compatibility utilities ├── numpy<1.23,>=1.21 NumPy is the fundamental package for array computing with Python. ├── pandas!=1.4.0,<1.5,>=1.2.5 Powerful data structures for data analysis, time series, and statistics │ ├── numpy>=1.18.5 NumPy is the fundamental package for array computing with Python. │ ├── python-dateutil>=2.8.1 Extensions to the standard Python datetime module │ │ └── six>=1.5 Python 2 and 3 compatibility utilities │ └── pytz>=2020.1 World timezone definitions, modern and historical ├── requests Python HTTP for Humans. │ ├── certifi>=2017.4.17 Python package for providing Mozilla's CA Bundle. │ ├── charset-normalizer<3,>=2 The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet. │ ├── idna<4,>=2.5 Internationalized Domain Names in Applications (IDNA) │ └── urllib3<1.27,>=1.21.1 HTTP library with thread-safe connection pooling, file post, and more. ├── scikit-learn<1.1,>=1.0.0 A set of python modules for machine learning and data mining │ ├── joblib>=0.11 Lightweight pipelining with Python functions │ ├── numpy>=1.14.6 NumPy is the fundamental package for array computing with Python. │ ├── scipy>=1.1.0 SciPy: Scientific Library for Python │ │ └── numpy<1.25.0,>=1.18.5 NumPy is the fundamental package for array computing with Python. │ └── threadpoolctl>=2.0.0 threadpoolctl ├── scipy<1.8.0,>=1.5.4 SciPy: Scientific Library for Python │ └── numpy<1.23.0,>=1.16.5 NumPy is the fundamental package for array computing with Python. └── tqdm>=4.38.0 Fast, Extensible Progress Meter ``` ``` $ pip3 install autogluon ... Collecting xgboost<1.5,>=1.4 Downloading xgboost-1.4.2-py3-none-manylinux2010_x86_64.whl (166.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 166.7/166.7 MB 16.0 MB/s eta 0:00:00 Collecting catboost<1.1,>=1.0 Downloading catboost-1.0.6-cp38-none-manylinux1_x86_64.whl (76.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 76.6/76.6 MB 22.8 MB/s eta 0:00:00 ... ``` - Note：沒有看到 autogluon 有需要 xgboost，卻會抓 xgboost 套件下來 ## pip freeze ### 0.5.2-cuda11.2-jupyter-ubuntu20.04-py3.8 ``` absl-py==1.2.0 aiohttp==3.8.1 aiosignal==1.2.0 antlr4-python3-runtime==4.8 argon2-cffi==21.3.0 argon2-cffi-bindings==21.2.0 async-timeout==4.0.2 attrs==20.3.0 autocfg==0.0.8 autogluon==0.5.2 autogluon-contrib-nlp==0.0.1b20220208 autogluon.common==0.5.2 autogluon.core==0.5.2 autogluon.features==0.5.2 autogluon.multimodal==0.5.2 autogluon.tabular==0.5.2 autogluon.text==0.5.2 autogluon.timeseries==0.5.2 autogluon.vision==0.5.2 aws-mx-cu112==1.9.0b20211227 awscli==1.25.12 backcall==0.2.0 bcrypt==3.2.2 beautifulsoup4==4.11.1 bleach==5.0.1 blis==0.7.8 bokeh==2.4.3 boto3==1.24.12 botocore==1.27.12 cachetools==5.2.0 catalogue==2.0.8 catboost==1.0.6 certifi==2022.6.15 cffi==1.15.0 charset-normalizer==2.0.12 click==8.0.4 cloudpickle==2.1.0 colorama==0.4.4 contextvars==2.4 convertdate==2.4.0 cryptography==37.0.2 cycler==0.11.0 cymem==2.0.6 Cython==0.29.30 dask==2021.11.2 decorator==5.1.1 defusedxml==0.7.1 Deprecated==1.2.13 dill==0.3.5.1 distlib==0.3.5 distributed==2021.11.2 docutils==0.16 entrypoints==0.4 fairscale==0.4.6 fastai==2.7.9 fastcore==1.5.17 fastdownload==0.0.7 fastjsonschema==2.16.1 fastprogress==1.0.3 filelock==3.8.0 flake8==5.0.4 fonttools==4.33.3 frozenlist==1.3.1 fsspec==2022.5.0 future==0.18.2 gevent==21.12.0 gluoncv==0.10.5.post0 gluonnlp==0.10.0 gluonts==0.9.8 google-auth==2.10.0 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.8.4 greenlet==1.1.2 grpcio==1.43.0 h5py==2.10.0 HeapDict==1.0.1 hijri-converter==2.2.4 holidays==0.14.2 horovod==0.24.3 huggingface-hub==0.8.1 hyperopt==0.2.7 idna==3.3 imageio==2.19.3 immutables==0.18 importlib-metadata==1.7.0 importlib-resources==5.9.0 inotify-simple==1.2.1 ipykernel==5.5.6 ipython==7.16.0 ipython-genutils==0.2.0 ipywidgets==7.7.1 jedi==0.17.2 Jinja2==3.1.2 jmespath==1.0.1 joblib==1.1.0 jsonschema==4.10.2 jupyter==1.0.0 jupyter-client==7.3.4 jupyter-console==6.4.4 jupyter-core==4.11.1 jupyterlab-pygments==0.2.2 jupyterlab-widgets==1.1.1 kiwisolver==1.4.3 korean-lunar-calendar==0.2.1 langcodes==3.3.0 lightgbm==3.3.2 llvmlite==0.39.0 locket==1.0.0 lxml==4.9.1 Markdown==3.3.4 MarkupSafe==2.1.1 matplotlib==3.5.2 mccabe==0.7.0 mistune==0.8.4 mpi4py==3.0.3 msgpack==1.0.4 multidict==6.0.2 multiprocess==0.70.13 murmurhash==1.0.8 nbclient==0.6.6 nbconvert==6.5.3 nbformat==5.4.0 nest-asyncio==1.5.5 networkx==2.8.5 nlpaug==1.1.10 nltk==3.7 notebook==6.4.12 nptyping==1.4.4 numba==0.56.0 numpy==1.21.6 oauthlib==3.2.0 omegaconf==2.1.2 onnx==1.8.1 opencv-python==4.6.0.66 packaging==21.3 pandas==1.3.0 pandocfilters==1.5.0 paramiko==2.11.0 parso==0.7.1 partd==1.3.0 pathos==0.2.9 pathy==0.6.2 patsy==0.5.2 pexpect==4.8.0 pickleshare==0.7.5 Pillow==9.0.1 pkgutil_resolve_name==1.3.10 platformdirs==2.5.2 plotly==5.8.2 pmdarima==1.8.5 portalocker==2.4.0 pox==0.3.1 ppft==1.7.6.5 preshed==3.0.7 prometheus-client==0.14.1 prompt-toolkit==3.0.30 protobuf==3.18.1 protobuf3-to-dict==0.1.5 psutil==5.8.0 ptyprocess==0.7.0 py4j==0.10.9.7 pyarrow==8.0.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.9.1 pycparser==2.21 pydantic==1.9.2 pyDeprecate==0.3.2 pyflakes==2.5.0 pyfunctional==1.4.3 Pygments==2.13.0 pyinstrument==3.4.2 pyinstrument-cext==0.2.4 PyMeeus==0.5.11 PyNaCl==1.5.0 pyparsing==3.0.9 pyrsistent==0.18.1 python-dateutil==2.8.2 pytorch-lightning==1.6.5 pytorch-metric-learning==1.3.2 pytz==2022.1 PyWavelets==1.3.0 PyYAML==5.4.1 pyzmq==23.2.1 qtconsole==5.3.1 QtPy==2.2.0 ray==1.13.0 regex==2022.7.25 requests==2.28.0 requests-oauthlib==1.3.1 retrying==1.3.3 rsa==4.7.2 s3fs==0.4.2 s3transfer==0.6.0 sacrebleu==2.2.0 sacremoses==0.0.53 sagemaker==2.95.0 sagemaker-experiments==0.1.35 sagemaker-mxnet-training==4.3.0 sagemaker-training==4.2.0 scikit-image==0.19.3 scikit-learn==1.0.2 scipy==1.7.0 seaborn==0.11.2 Send2Trash==1.8.0 sentencepiece==0.1.95 shap==0.41.0 six==1.16.0 sklearn==0.0 sktime==0.11.4 slicer==0.0.7 smart-open==5.2.1 smclarify==0.2 smdebug==1.0.12 smdebug-rulesconfig==1.0.1 sortedcontainers==2.4.0 soupsieve==2.3.2.post1 spacy==3.4.1 spacy-legacy==3.0.10 spacy-loggers==1.0.3 srsly==2.4.4 statsmodels==0.13.2 tabulate==0.8.9 tbats==1.1.0 tblib==1.7.0 tenacity==8.0.1 tensorboard==2.10.0 tensorboard-data-server==0.6.1 tensorboard-plugin-wit==1.8.1 tensorboardX==2.5.1 terminado==0.15.0 thinc==8.1.0 threadpoolctl==3.1.0 tifffile==2022.8.12 timm==0.5.4 tinycss2==1.1.1 tokenizers==0.12.1 toolz==0.12.0 torch==1.12.0+cu113 torchmetrics==0.7.3 torchtext==0.13.0 torchvision==0.13.0+cu113 tornado==6.1 tqdm==4.64.0 traitlets==5.3.0 transformers==4.20.1 typer==0.4.2 typing_extensions==4.2.0 typish==1.9.3 urllib3==1.26.9 virtualenv==20.16.3 wasabi==0.10.1 wcwidth==0.2.5 webencodings==0.5.1 Werkzeug==2.1.2 widgetsnbextension==3.6.1 wrapt==1.14.1 xgboost==1.4.2 yacs==0.1.8 yarl==1.8.1 zict==2.2.0 zipp==3.8.0 zope.event==4.5.0 zope.interface==5.4.0 ``` - `pip==22.2.2` - `setuptools==65.0.2` - `wheel==0.37.1` - `click==8.0.4` - `numba==0.56.0` - `numpy==1.21.6` - `psutil==5.8.0` - `sentencepiece==0.1.95` - `typing-extensions==4.2.0` ### 0.5.2-cpu-jupyter-ubuntu20.04-py3.8 ``` absl-py==1.2.0 aiohttp==3.8.1 aiosignal==1.2.0 antlr4-python3-runtime==4.8 argon2-cffi==21.3.0 argon2-cffi-bindings==21.2.0 async-timeout==4.0.2 attrs==20.3.0 autocfg==0.0.8 autogluon==0.5.2 autogluon-contrib-nlp==0.0.1b20220208 autogluon.common==0.5.2 autogluon.core==0.5.2 autogluon.features==0.5.2 autogluon.multimodal==0.5.2 autogluon.tabular==0.5.2 autogluon.text==0.5.2 autogluon.timeseries==0.5.2 autogluon.vision==0.5.2 aws-mx==1.9.0b20220322 awscli==1.25.12 backcall==0.2.0 bcrypt==3.2.2 beautifulsoup4==4.11.1 bleach==5.0.1 blis==0.7.8 bokeh==2.4.3 boto3==1.24.12 botocore==1.27.12 cachetools==5.2.0 catalogue==2.0.8 catboost==1.0.6 certifi==2022.6.15 cffi==1.15.0 charset-normalizer==2.0.12 click==8.0.4 cloudpickle==2.1.0 colorama==0.4.4 contextvars==2.4 convertdate==2.4.0 cryptography==37.0.2 cycler==0.11.0 cymem==2.0.6 Cython==0.29.30 dask==2021.11.2 decorator==5.1.1 defusedxml==0.7.1 Deprecated==1.2.13 dill==0.3.5.1 distlib==0.3.5 distributed==2021.11.2 docutils==0.16 entrypoints==0.4 fairscale==0.4.6 fastai==2.7.9 fastcore==1.5.17 fastdownload==0.0.7 fastjsonschema==2.16.1 fastprogress==1.0.3 filelock==3.8.0 flake8==5.0.4 fonttools==4.33.3 frozenlist==1.3.1 fsspec==2022.5.0 future==0.18.2 gevent==21.12.0 gluoncv==0.10.5.post0 gluonnlp==0.10.0 gluonts==0.9.8 google-auth==2.10.0 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.8.4 greenlet==1.1.2 grpcio==1.43.0 h5py==2.10.0 HeapDict==1.0.1 hijri-converter==2.2.4 holidays==0.14.2 horovod==0.24.3 huggingface-hub==0.8.1 hyperopt==0.2.7 idna==3.3 imageio==2.19.3 immutables==0.18 importlib-metadata==1.7.0 importlib-resources==5.9.0 inotify-simple==1.2.1 ipykernel==5.5.6 ipython==7.16.0 ipython-genutils==0.2.0 ipywidgets==7.7.1 jedi==0.17.2 Jinja2==3.1.2 jmespath==1.0.1 joblib==1.1.0 jsonschema==4.10.2 jupyter==1.0.0 jupyter-client==7.3.4 jupyter-console==6.4.4 jupyter-core==4.11.1 jupyterlab-pygments==0.2.2 jupyterlab-widgets==1.1.1 kiwisolver==1.4.3 korean-lunar-calendar==0.2.1 langcodes==3.3.0 lightgbm==3.3.2 llvmlite==0.39.0 locket==1.0.0 lxml==4.9.1 Markdown==3.3.4 MarkupSafe==2.1.1 matplotlib==3.5.2 mccabe==0.7.0 mistune==0.8.4 mpi4py==3.0.3 msgpack==1.0.4 multidict==6.0.2 multiprocess==0.70.13 murmurhash==1.0.8 nbclient==0.6.6 nbconvert==6.5.3 nbformat==5.4.0 nest-asyncio==1.5.5 networkx==2.8.5 nlpaug==1.1.10 nltk==3.7 notebook==6.4.12 nptyping==1.4.4 numba==0.56.0 numpy==1.21.6 oauthlib==3.2.0 omegaconf==2.1.2 onnx==1.8.1 opencv-python==4.6.0.66 packaging==21.3 pandas==1.3.0 pandocfilters==1.5.0 paramiko==2.11.0 parso==0.7.1 partd==1.3.0 pathos==0.2.9 pathy==0.6.2 patsy==0.5.2 pexpect==4.8.0 pickleshare==0.7.5 Pillow==9.0.1 pkgutil_resolve_name==1.3.10 platformdirs==2.5.2 plotly==5.8.2 pmdarima==1.8.5 portalocker==2.4.0 pox==0.3.1 ppft==1.7.6.5 preshed==3.0.7 prometheus-client==0.14.1 prompt-toolkit==3.0.30 protobuf==3.18.1 protobuf3-to-dict==0.1.5 psutil==5.8.0 ptyprocess==0.7.0 py4j==0.10.9.7 pyarrow==8.0.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.9.1 pycparser==2.21 pydantic==1.9.2 pyDeprecate==0.3.2 pyflakes==2.5.0 pyfunctional==1.4.3 Pygments==2.13.0 pyinstrument==3.4.2 pyinstrument-cext==0.2.4 PyMeeus==0.5.11 PyNaCl==1.5.0 pyparsing==3.0.9 pyrsistent==0.18.1 python-dateutil==2.8.2 pytorch-lightning==1.6.5 pytorch-metric-learning==1.3.2 pytz==2022.1 PyWavelets==1.3.0 PyYAML==5.4.1 pyzmq==23.2.1 qtconsole==5.3.1 QtPy==2.2.0 ray==1.13.0 regex==2022.7.25 requests==2.28.0 requests-oauthlib==1.3.1 retrying==1.3.3 rsa==4.7.2 s3fs==0.4.2 s3transfer==0.6.0 sacrebleu==2.2.0 sacremoses==0.0.53 sagemaker==2.95.0 sagemaker-experiments==0.1.35 sagemaker-mxnet-training==4.3.0 sagemaker-training==4.2.0 scikit-image==0.19.3 ``` - `pip==22.2.2` - `setuptools==65.0.2` - `wheel==0.37.1` - `click==8.0.4` - `numba==0.56.0` - `numpy==1.21.6` - `psutil==5.8.0` - `sentencepiece==0.1.95` - `typing-extensions==4.2.0`

Syntax	Example	Reference
# Header	Header	基本排版
- Unordered List	Unordered List
1. Ordered List	Ordered List
- [ ] Todo List	Todo List
> Blockquote	Blockquote
Bold font	Bold font
Italics font	Italics font
~~Strikethrough~~	~~Strikethrough~~
19^th^	19^th
H~2~O	H₂O
++Inserted text++	Inserted text
==Marked text==	Marked text
[link text](https:// "title")	Link
![image alt](https:// "title")	Image
`Code`	`Code`	在筆記中貼入程式碼
```javascript var i = 0; ```	`var i = 0;`
:smile:		Emoji list
{%youtube youtube_id %}	Externals
$L^aT_eX$	L^aT_eX
:::info This is a alert area. :::	This is a alert area.