Automated feature engineering library
Project description
Automated feature engineering library
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bigfeat-0.1.tar.gz
(5.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
bigfeat-0.1-py3-none-any.whl
(5.4 kB
view details)
File details
Details for the file bigfeat-0.1.tar.gz.
File metadata
- Download URL: bigfeat-0.1.tar.gz
- Upload date:
- Size: 5.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
547c39459c9ffe2ce9055c065761add6033ccf770ee9f087fe760cf90922ecd3
|
|
| MD5 |
a7ac2062b321dc5768ed06319888049f
|
|
| BLAKE2b-256 |
aeb9e6fa70a7a4bdb8d975d1b492ae8b547cdab8e9944ba353651e438e4da4c9
|
File details
Details for the file bigfeat-0.1-py3-none-any.whl.
File metadata
- Download URL: bigfeat-0.1-py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c3dc4ea713bc072689a41ce93ce19e2e9aedec54d3e1fa4211bfe2cc69f2481
|
|
| MD5 |
bac4e21e7f5ff4112e0beaa00dcf64e4
|
|
| BLAKE2b-256 |
e96da7077e332dc672989422fe364010f60fc32172d24b387f9d2956b1ab5dc5
|