Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization

07/02/2021
by   Paulito P. Palmes, et al.
0

The pipeline optimization problem in machine learning requires simultaneous optimization of pipeline structures and parameter adaptation of their elements. Having an elegant way to express these structures can help lessen the complexity in the management and analysis of their performances together with the different choices of optimization strategies. With these issues in mind, we created the AMLP toolkit which facilitates the creation and evaluation of complex machine learning pipeline structures using simple expressions. We use AMLP to find optimal pipeline signatures, datamine them, and use these datamined features to speed-up learning and prediction. We formulated a two-stage pipeline optimization with surrogate modeling in AMLP which outperforms other AutoML approaches with a 4-hour time budget in less than 5 minutes of AMLP computation time.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

02/04/2022

OMLT: Optimization Machine Learning Toolkit

The optimization and machine learning toolkit (OMLT) is an open-source s...
11/03/2021

AlphaD3M: Machine Learning Pipeline Synthesis

We introduce AlphaD3M, an automatic machine learning (AutoML) system bas...
09/20/2020

Supervised Ontology and Instance Matching with MELT

In this paper, we present MELT-ML, a machine learning extension to the M...
06/02/2019

An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference

Real world observational data, together with causal inference, allow the...
05/22/2020

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

Building rich machine learning datasets in a scalable manner often neces...
07/30/2021

Surrogate Modelling for Injection Molding Processes using Machine Learning

Injection molding is one of the most popular manufacturing methods for t...
12/29/2019

Deep learning surrogate models for spatial and visual connectivity

Spatial and visual connectivity are important metrics when developing wo...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.