https://tomroth.dev/tags/automl/Recent content in automl on Tom RothHugo -- gohugo.ioenThu, 27 Jun 2019 00:00:00 +0000https://tomroth.dev/alphad3m-grammar/Thu, 27 Jun 2019 00:00:00 +0000https://tomroth.dev/alphad3m-grammar/There’s this lovely little paper called Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar. It’s by Drori et al (ICML workshop 2019), and here’s the paper link: https://arxiv.org/pdf/1905.10345.pdf But, what is AlphaD3M? Don’t know? Read this summary before continuing, brave adventurer. I won’t give you an overview of this paper here (but the title kind of already does). So, what’s interesting about it? The takeaways? Give it to me nice and straight, you cry, and don’t you dare waste words on frivolous sentences.https://tomroth.dev/alphad3m/Sun, 23 Jun 2019 00:00:00 +0000https://tomroth.dev/alphad3m/Heard about AlphaD3M? Want to know what it is? You’re in luck! Overview Link to heading What is AlphaD3M? It’s an AutoML system. It was first shown at the ICML 2018 AutoML Workshop. For a given dataset, and a given task, AlphaD3M builds a machine learning pipeline. Confused? Here’s an example of how this could work. Dataset: Iris Task: Multiclass classification of the species column Metric: Log loss Pipeline: Create new column: | e.