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Copy pathpyproject-kaggle.toml
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70 lines (63 loc) · 1.96 KB
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[build-system]
requires = ["setuptools>=72", "wheel", "tomli"]
build-backend = "setuptools.build_meta"
[project]
name = "movie_lens_tfx"
version = "0.2.0"
description = "TFX pipelines for Kaggle recommender systems project"
authors = [
{ name = "Nichole King" },
]
#readme = "README.md"
requires-python = ">=3.10.0,<3.11.0"
dependencies = [
"pyarrow==10.0.1",
"python-snappy==0.7.3",
"numpy==1.26.4",
"apache-beam==2.59.0",
"tensorflow==2.16.1",
"tensorflow-transform==1.16.0",
"tfx==1.16.0",
"tensorflow-data-validation==1.16.1",
"tensorflow-metadata==1.16.1",
"ml-metadata==1.16.0",
"pandas==1.5.3",
"array-record==0.5.0",
"array_record_beam_sdk==0.1.0",
"build==1.4.0",
]
readme = "README.md"
license = "MIT"
classifiers = [
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 1 - development",
"Programming Language :: Python :: 3.10",
]
[tool.setuptools]
#packages = ["movie_lens_tfx"]
[tool.setuptools.packages.find]
where = ["src/main/python"]
include = ['movie_lens_tfx', 'movie_lens_tfx.misc',
'movie_lens_tfx.utils', 'movie_lens_tfx.ingest_component',
'movie_lens_tfx.ingest_pyfunc_component',
'movie_lens_tfx.ingest_already_split_pyfunc_component',
'movie_lens_tfx.bulk_infer_component', 'movie_lens_tfx']
#exclude = ["tests"]
#also java >= 11... 11 for pyspark compatabiltity
# there may be kubernetes version constraints, or native cloud constraints
#[tool.pytest.ini_options]
#pythonpath =
# src/main/python
# src/drafts/python
#testpaths =
# src/test/python
## can use this to list each method to expose:
#[project.scripts]
[project.urls]
Homepage = "https://www.kaggle.com/code/nicholeasuniquename/recommender-systems-with-tfx-pipelines"
Repository = "https://github.com/nking/recommender_systems.git"
[project.optional-dependencies]
test = ["pytest", "nannyml>=0.13.1", "polars>=1.35.2", "plotly>=6.4.0", "kaleido>=1.2.0"]
eda = ["dcor", "pytz", "pyspark==3.2.4", "scipy"]