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Hands-On Machine Learning with Azure
book

Hands-On Machine Learning with Azure

by Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, Ryan Murphy
October 2018
Intermediate to advanced content levelIntermediate to advanced
340 pages
7h 56m
English
Packt Publishing
Content preview from Hands-On Machine Learning with Azure

Comparing models and parameters

One of the core tasks in developing ML models is choosing the ML algorithm and configuring the parameters of the algorithm. ML Studio provides modules for both of these tasks, allowing you to compare multiple models, or parameter values in a single run.

To train multiple models in one experiment, the training and test datasets can be reused by directing the datasets to multiple training branches as follows:

The preceding experiment is similar to the earlier training experiment, except that there are two Train Model modules with different algorithms as inputs. The results of the Score Model module are also directed ...

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Publisher Resources

ISBN: 9781789131956Supplemental Content