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

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

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)

v0.3.0 (2019-08-16)

• Add a function init that will eventually replace 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.