Metadata-Version: 1.2
Name: mflux-ai
Version: 0.5.2
Summary: The Python client for MFlux.ai
Home-page: https://github.com/AIAScience/mflux-ai-python
Author: AIA Science AS
Author-email: mflux.ai@aiascience.com
License: Apache License 2.0
Description: ========
        mflux-ai
        ========
        
        .. image:: https://img.shields.io/pypi/v/mflux_ai.svg
                :target: https://pypi.python.org/pypi/mflux_ai
        
        .. image:: https://img.shields.io/travis/AIAScience/mflux-ai-python.svg?branch=master
                :target: https://travis-ci.org/AIAScience/mflux-ai-python
        
        This is the official :code:`mflux-ai` python library for `MFlux.ai
        <https://www.mflux.ai>`_
        
        Features
        --------
        - Fetch connection strings and tell MLflow how to connect with MFlux.ai
        - Download and upload objects/datasets from/to the MFlux.ai cloud service
        
        Quickstart
        ----------
        Installation
        
            pip install mflux-ai
        
        Basic usage
        
        .. code:: python
        
            import mflux_ai
        
            mflux_ai.init("INSERT_YOUR_PROJECT_TOKEN_HERE")
        
            # MLflow now knows how to connect with your project server, hosted on MFlux.ai
        
        Store and retrieve datasets
        
        .. code:: python
        
            my_dataset = np.zeros(shape=(10000, 100), dtype=np.float32)
            dataset_filename = "my-dataset.pkl"
        
            mflux_ai.put_dataset(my_dataset, dataset_filename)
        
            my_loaded_dataset = mflux_ai.get_dataset(dataset_filename)
        
            assert_array_equal(my_dataset, my_loaded_dataset)
        
        
        =======
        History
        =======
        
        v0.5.2 (2019-09-20)
        -------------------
        
        * Improve the performance of :code:`mflux_ai.put_dataset` by pickling in memory instead of using a temporary file on disk.
        
        v0.5.1 (2019-09-12)
        -------------------
        
        * Add support for MLflow authentication
        * Improve the performance of :code:`mflux_ai.put_dataset`
        * Correctly reset the MinIO client when :code:`init` completes successfully
        * Specify the desired API version and let the user know if an upgrade is needed
        
        v0.4.0 (2019-09-01)
        -------------------
        
        * Mark :code:`mflux_ai.set_env_vars()` as deprecated. Use :code:`mflux_ai.init()` instead.
        * Remove support for Python 3.4
        * Add support for secure MinIO connections
        
        v0.3.0 (2019-08-16)
        -------------------
        
        * Add a function :code:`init` that will eventually replace :code:`set_env_vars`
        * Check if the provided project token is valid.
        
        v0.2.1 (2019-08-16)
        -------------------
        
        * Set licence to Apache License 2.0
        * Transition from pre-alpha to alpha.
        
        v0.2.0 (2019-08-14)
        -------------------
        
        * Add convenience functions for storing and retrieving datasets
        
        v0.1.1 (2019-08-14)
        -------------------
        
        * First release on PyPI. Has support for setting environment variables for MLflow based on an MFlux.ai project token.
        
Keywords: mflux_ai mlflow ml tracking ai workflow machine learning object storage dataset versioning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Version Control
Requires-Python: >=3.5, <4
