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GEMSEO 5.3.2
Please
cite us
if you use the software.
User guide
Make GEMSEO easy to use
Main concepts
Optimization and DOE
Design of experiments
Multidisciplinary design optimization
Machine learning
Introduction
API
Unsupervised learning for unlabeled data
Supervised learning for input-output data
Measure the quality of a machine learning algorithm
Calibrate or select a machine learning algorithm
Transform data to improve the ML algorithm quality
Surrogate models
Uncertainty quantification
Scalable models
Algorithms
Benchmark problems
Machine learning
¶
Introduction
Introduction
Development
API
Unsupervised learning for unlabeled data
Unsupervised learning
Clustering
Supervised learning for input-output data
Supervised learning
Classification
Regression
Measure the quality of a machine learning algorithm
Introduction
Measures for supervised models
Measures for clustering models
Examples
Calibrate or select a machine learning algorithm
Calibration
Selection
Examples
Transform data to improve the ML algorithm quality
Introduction
Scaling
Dimension reduction
Examples