Metadata-Version: 2.1
Name: ml-ops
Version: 1.1.0
Summary: A library to read and report MLApp statistics
Home-page: https://github.com/mlpiper/mlpiper/tree/master/reflex-algos/src/main/python/mlops
Author: ParallelM
Author-email: info@parallelm.com
License: Apache License 2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: termcolor
Requires-Dist: kazoo
Requires-Dist: protobuf
Requires-Dist: requests
Requires-Dist: py4j

# README

## 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.


