EMBLEM: An Integrated Framework for Automated Machine Learning
The field of Machine Learning (ML) has seen exponential growth in the past decade. To harness this potential, researchers have developed automated ML frameworks to streamline the process of developing, testing, and deploying machine learning models. One of the most promising of these frameworks is EMBLEM, an Integrated Framework for Automated Machine Learning.
EMBLEM is an open source platform that enables users to rapidly and accurately develop ML models. It provides a suite of tools and services for data pre-processing, model selection and optimization, and deployment. The framework is designed to be highly modular and customizable. It also integrates with popular ML libraries and frameworks such as Scikit-Learn, TensorFlow, and Keras.
The core components of EMBLEM are the Data Pre-processing Module, Model Selection and Optimization Module, and Deployment Module. The Data Pre-processing Module allows users to quickly and efficiently process and clean their data sets. The Model Selection and Optimization Module helps users to select the best performing ML models for their data set and optimize the model parameters for improved accuracy. Finally, the Deployment Module enables users to easily deploy their ML models on the web or mobile platforms.
EMBLEM is a powerful and easy-to-use automated ML framework that allows users to rapidly develop ML models with improved accuracy and performance. It is designed to be highly modular and customizable, enabling users to tailor the framework to their specific needs. With its comprehensive suite of tools and services, EMBLEM is an excellent choice for researchers and developers looking for an efficient and effective way to develop and deploy ML models.
References
Kumar, A., & Karunakaran, S. (2018). EMBLEM: An integrated framework for automated machine learning. arXiv preprint arXiv:1811.06903.
GitHub. (2020). EMBLEM – An open-source automated machine learning framework. Retrieved August 24, 2020, from https://github.com/emblem-ml/emblem
TensorFlow. (2020). TensorFlow. Retrieved August 24, 2020, from https://www.tensorflow.org/
Scikit-Learn. (2020). Scikit-Learn: Machine learning in Python. Retrieved August 24, 2020, from https://scikit-learn.org/stable/