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Merge pull request #13 from openml/main
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cleaned up artefacts, updated documentation with a nav for global openml documentaion
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SubhadityaMukherjee authored Oct 16, 2024
2 parents 3a6b494 + 1b36638 commit fdef31b
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169 changes: 168 additions & 1 deletion .gitignore
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Expand Up @@ -13,4 +13,171 @@ build/
dist/
openml_pytorch.egg-info/

datasets/
datasets/

dist/

build/*

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
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20 changes: 19 additions & 1 deletion mkdocs.yml
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Expand Up @@ -36,6 +36,7 @@ markdown_extensions:
plugins:
- search
- mkdocs-jupyter
- awesome-pages
# - mknotebooks:
# execute: false
- mkdocstrings:
Expand All @@ -47,4 +48,21 @@ plugins:
show_source: true
options:
docstring_section_style: table
show_docstring_functions: true
show_docstring_functions: true

nav:
- Home: "index.md"
- "API Reference":
- "Callbacks": "API reference/Callbacks.md"
- "Custom Datasets": "API reference/Custom Datasets.md"
- "Metrics" : "API reference/Metrics.md"
- "OpenML Connection" : "API reference/OpenML Connection.md"
- "Trainer" : "API reference/Trainer.md"
- Examples:
- "Create Dataset and Task" : "Examples/Create Dataset and Task.ipynb"
- "Image Classification Task" : "Examples/Image Classification Task.ipynb"
- "Pretrained Transformer Image Classification Task" : "Examples/Pretrained Transformer Image Classification Task.ipynb"
- "Sequential Classification Task" : "Examples/Sequential Classification Task.ipynb"
- "Tabular Classification" : "Examples/Tabular Classification.ipynb"
- "Limitations of the API": "Limitations of the API.md"
- "Philosphy behind the API Design" : "Philosophy behind the API Design.md"

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