Woodwork provides a common typing namespace for using your existing DataFrames in Featuretools, EvalML, and general ML. A Woodwork DataFrame stores the physical, logical, and semantic data types present in the data. In addition, it can store metadata about the data, allowing you to store specific information you might need for your application.
| Uploaded | Tue Apr 1 00:43:04 2025 |
| md5 checksum | edcc2a11784e4299097cdbd2630d3e6c |
| arch | x86_64 |
| build | py311h06a4308_2 |
| build_number | 2 |
| depends | importlib_resources >=5.10.0, numpy >=1.22.0,<1.25.0, pandas >=1.4.3, python >=3.11,<3.12.0a0, python-dateutil >=2.8.1, scikit-learn >=0.22, scipy >=1.10.0 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | edcc2a11784e4299097cdbd2630d3e6c |
| name | woodwork |
| platform | linux |
| sha1 | 8ce6b0679512717e405b999217381401a78a46a4 |
| sha256 | be4ac1127fd5e6296c81918c52b8d916ed49bca56a64f67eb3107e3ad1043fab |
| size | 583232 |
| subdir | linux-64 |
| timestamp | 1700843238611 |
| version | 0.25.1 |