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ParallelM's MLOps API Documentation

The ParallelM mlops library provides users the ability to instrument their machine learning programs and components to report various kinds of statistics into MCenter. It also provides an API to query for statistics and objects generated by programs running in the same MLApp.

mlops is currently supported for PySpark and Python.

Metadata

Release files for ml-ops 1.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ml-ops 1.2.1
File Size Uploaded
ml-ops-1.2.1.tar.gz 105.4 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for ml-ops 1.2.1
File Interpreter ABI Platform
ml_ops-1.2.1-py3-none-any.whl Python 3 none any Details
ml_ops-1.2.1-py2-none-any.whl Python 2 none any Details

Total release size: 405.5 kB

Release files / ml-ops-1.2.1.tar.gz

Download URL ml-ops-1.2.1.tar.gz
Size 105.4 kB
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Release files / ml_ops-1.2.1-py3-none-any.whl

Download URL ml_ops-1.2.1-py3-none-any.whl
Size 150.0 kB
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Release files / ml_ops-1.2.1-py2-none-any.whl

Download URL ml_ops-1.2.1-py2-none-any.whl
Size 150.0 kB
Tags Python 2
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Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

Release history Release notifications | RSS feed

This release

1.2.1 This release

3 release files

1.1.1

3 release files

1.1.0

3 release files

1.0.3

3 release files

1.0.2

3 release files

1.0.1

3 release files

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