Building Large-Scale AI Applications for Distributed Big Data
Project description
BigDL makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications.
For more information, you may read the docs.
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distributions
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
File details
Details for the file bigdl-2.2.0b20221216-py3-none-manylinux1_x86_64.whl.
File metadata
- Download URL: bigdl-2.2.0b20221216-py3-none-manylinux1_x86_64.whl
- Upload date:
- Size: 1.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dfee943674b2236ee8b9332789550c5626b62da7eda4aaf1a55eebf0a85bc3f3
|
|
| MD5 |
2d935447ac341017113fd41039d642cc
|
|
| BLAKE2b-256 |
f4c5a692de54521143a92d4c4fad519d6132220aae939212d62bc2dbe8878849
|
File details
Details for the file bigdl-2.2.0b20221216-py3-none-macosx_10_11_x86_64.whl.
File metadata
- Download URL: bigdl-2.2.0b20221216-py3-none-macosx_10_11_x86_64.whl
- Upload date:
- Size: 1.8 kB
- Tags: Python 3, macOS 10.11+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
10b8a228b2a97f0bf0924eb7fbf6debacf3a14b18a59e5f92d70087ee37ab222
|
|
| MD5 |
656880371ecc78924b13904eb0bf6803
|
|
| BLAKE2b-256 |
6dcda6d006643f777178b991cea64adb3df95bb539af0a12c526e818b40c5289
|
