NVIDIA / AutoGluon - 錯誤排除
===
###### tags: `NVIDIA`
###### tags: `NVIDIA`, `AutoGluon`, `AutoML`


<br>

[TOC]

<br>

## 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.

<br>

### 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.

<br>

### 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

:::

<br>

### 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)
- `pip show elyra` -> elyra==3.11.0

<br>

`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)

<br>

暫時解法：

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
#     

<br>

<hr>

<br>

## 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

<br>

## 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`
<br>
- `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`
<br>
- `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`