tss is a machine learning toolkit designed to apply tensorflow saved model to spark dataframe.
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Metadata
1 maintainer
Release files for TFServingSpark 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| TFServingSpark-0.1.0.tar.gz | 3.1 kB | Without provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| TFServingSpark-0.1.0-py2.7.egg | Legacy Egg format | - | - | Details |
| TFServingSpark-0.1.0-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 14.7 kB
Release files / TFServingSpark-0.1.0.tar.gz
| Download URL | TFServingSpark-0.1.0.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / TFServingSpark-0.1.0-py2.7.egg
| Download URL | TFServingSpark-0.1.0-py2.7.egg |
|---|---|
| Size | 7.0 kB |
| Tags | Egg |
|
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 |
Release files / TFServingSpark-0.1.0-py2-none-any.whl
| Download URL | TFServingSpark-0.1.0-py2-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
a1d037d7f0bf6aac41407a23464446f17c070e7aa596fc5e3f70be55870d7682
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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 |
Security for TFServingSpark 0.1.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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