Wheelodex » Projects » auto-synthetic-data-platform

auto-synthetic-data-platform

View on PyPI — Reverse Dependencies (0)

0.0.1 auto_synthetic_data_platform-0.0.1-py3-none-any.whl

Wheel Details

Project: auto-synthetic-data-platform
Version: 0.0.1
Filename: auto_synthetic_data_platform-0.0.1-py3-none-any.whl
Download: [link]
Size: 23968
MD5: b05924e7032e51f4fb6716cb9d88a996
SHA256: 45f66d60f3b059026aa8a183cd5791044ad53828d34defa4a912b137f88e896c
Uploaded: 2024-02-15 15:30:05 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: auto-synthetic-data-platform
Version: 0.0.1
Summary: Google EMEA gTech Ads Data Science Team's solution to create privacy-safe synthetic data out of real data. The solution is a wrapper around the synthcity package (https://github.com/vanderschaarlab/synthcity) simplifying the process of model tuning.
Author: Google gTech Ads EMEA Privacy Data Science Team
Home-Page: https://github.com/google-marketing-solutions/auto_synthetic_data_platform
License: Apache Software License 2.0
Keywords: 1pd privacy ai ml marketing
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Requires-Dist: fastapi (==0.104.1)
Requires-Dist: kaleido (==0.2.1)
Requires-Dist: python-multipart (==0.0.6)
Requires-Dist: uvicorn (==0.24.0)
Requires-Dist: typing-extensions (==4.8.0)
Requires-Dist: numpy (==1.23.5)
Requires-Dist: torch (==1.13.1)
Requires-Dist: tsai (==0.3.2)
Requires-Dist: wheel (==0.41.2)
Requires-Dist: pandas (==1.5.3)
Requires-Dist: optuna (==3.3.0)
Requires-Dist: ipython (==7.34.0)
Requires-Dist: synthcity (>=0.2.9)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 9683 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
auto_synthetic_data_platform/__init__.py sha256=-DbyOO7bK_fSPuMXwbYfI4x49STa-bXMv1ByCbaTjls 695
auto_synthetic_data_platform/categorical_variables_processing.py sha256=4h6j9HMWicPNBUOJJRzpEyNZ3hjzA9iJ04oy4lFB_JA 5534
auto_synthetic_data_platform/custom_constraints.py sha256=qwnussBK0AazV6jlS8Ze4BUMDWgo7hz7Qwfr25cDVHY 909
auto_synthetic_data_platform/experiment_logging.py sha256=4BIXvqFHTVRKFm9jHnkits2MhdSatpofvvvzsyENOd0 1555
auto_synthetic_data_platform/missing_variables_processing.py sha256=zFe-2HxKRcHkcLxHzCSLcEIoNf0cnLeq6JA8_ooFuVQ 2653
auto_synthetic_data_platform/numerical_variables_processing.py sha256=_ums19RoCfieriT_qC15Q4JVIKvsZnXTwTO-mHGOeTQ 2720
auto_synthetic_data_platform/preprocessing.py sha256=kw3Yk2aIe1kJgjar32UX4y5O00RZmDEE8_XmkucmET4 6392
auto_synthetic_data_platform/synthetic_data_model_tuning.py sha256=mvEKDN2L3ZN1pPm-SJb4jOeUYX43GeSYBVLjx_WsqHg 25638
auto_synthetic_data_platform-0.0.1.dist-info/LICENSE sha256=KD6mzCmXoacNoASeCa35MXu2DKG1Enm2UZa4OmnhmWs 11323
auto_synthetic_data_platform-0.0.1.dist-info/METADATA sha256=ZGV8q8pVPs2aRZr7j_ODAab_Dy8OWSqBcCiVaozA45Q 10972
auto_synthetic_data_platform-0.0.1.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
auto_synthetic_data_platform-0.0.1.dist-info/top_level.txt sha256=65yBu3j8e8nrGfQ-Va_UtCYpuiTZAw2qWKCPF0bBQJg 29
auto_synthetic_data_platform-0.0.1.dist-info/RECORD — —

top_level.txt

auto_synthetic_data_platform