Pre-release
This release is a pre-release and may not be stable for production use.
BigDL DLlib is a distributed deep learning library for Apache Spark with Keras-style API and Spark ML pipeline support.
See here for more information.
Metadata
Release files for bigdl-dllib-spark3 2.5.0b20240312
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bigdl-dllib-spark3-2.5.0b20240312.tar.gz | 64.1 MB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bigdl_dllib_spark3-2.5.0b20240312-py3-none-manylinux1_x86_64.whl | Python 3 | none | Linux glibc 2.5+ x86-64 | Details |
| bigdl_dllib_spark3-2.5.0b20240312-py3-none-macosx_10_11_x86_64.whl | Python 3 | none | macOS 10.11+ x86-64 | Details |
Total release size: 192.5 MB
Release files / bigdl-dllib-spark3-2.5.0b20240312.tar.gz
| Download URL | bigdl-dllib-spark3-2.5.0b20240312.tar.gz |
|---|---|
| Size | 64.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
|
Release files / bigdl_dllib_spark3-2.5.0b20240312-py3-none-manylinux1_x86_64.whl
| Download URL | bigdl_dllib_spark3-2.5.0b20240312-py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 64.2 MB |
| Tags | Linux glibc 2.5+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
|
Release files / bigdl_dllib_spark3-2.5.0b20240312-py3-none-macosx_10_11_x86_64.whl
| Download URL | bigdl_dllib_spark3-2.5.0b20240312-py3-none-macosx_10_11_x86_64.whl |
|---|---|
| Size | 64.2 MB |
| Tags | Python 3 macOS 10.11+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
|