Bluemist AI is a low code machine learning library written in Python to develop, evaluate and deploy automated ML pipleines.
Project description
Bluemist AI
Bluemist AI is a low code machine learning library written in Python to develop, evaluate and deploy automated Machine Bluemist AI is an open source, low code machine learning library written in Python to develop, evaluate and deploy automated Machine Learning models and pipleines.
It acts as a wrapper service on top of sklearn, numpy, pandas, mlflow and FastAPI. Visualization are created using pandas-profiling, sweetviz, dtale and autoviz.
Features
- Native integration for data extraction with MySQL, PostgreSQL, MS SQL, Oracle, MariaDB, Amazon Aurora and Amazon S3
- Exploratory Data Analysis (EDA)
- Data preprocessing
- Trains data across multiple algorithms and provide comparison metrics
- Hyperparameter tuning
- Experiment tracking
- API deployment
For the detailed list of supported and upcoming features, visit https://www.bluemist-ai.one
Full documentation is available @ https://bluemist-ai.readthedocs.io
User installation
Method 1
To install minimal version of the package with hard dependencies listed in requirements.txt
pip install -U bluemist
To install the complete package including optional dependencies listed in requirements-optional.txt. Refer Minimal package vs Full package for more details.
pip install -U bluemist[complete]
Method 2 (recommended)
It is advised to setup a separate python environment to avoid conflicts with package dependencies. This can be done as follows :
- Install the package
virtualenv
pip install virtualenv
- Create a separate directory where bluemist environment will be created
mkdir /path/to/bluemist-ai
cd /path/to/bluemist-ai
- Create the bluemist environment
virtualenv bluemist-env
- Activate the environment and install bluemist
source bluemist-env/bin/activate
pip install -U bluemist
Method 3
bluemist package can be installed using pipx
utility. It automatically creates an isolated environment to run the
bluemist package
pip install pipx
pipx install bluemist
pipx upgrade bluemist
Minimal package vs Full package
Below functionalities are available only with complete package installation
- Data extraction from RDBMS or cloud
- EDA Visualizations using dtale and sweetviz
Alternatively a single optional package can be installed using the pip
command. For example, if you would like to
extract data from Amazon S3 but do not wish to install other optional packages :
pip install boto3
License
Bluemist AI source code is licensed under the MIT License
See Third Party Libraries for license details of third party libraries included in the distribution.
MIT License
Copyright (c) 2022 Bluemist AI
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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