d3VIEW Workflows Documentation
03-07-2024-19_16
1. Overview
2. Workers
3. Worker Examples
4. Start Worker
5. Getting Started
6. Examples
7. ML Workers
8. Importing Data
9. Building and Configuring
10. Saving and Sharing
11. Executing
12. Reporter worker and options
13. Viewing Data
14. Actions
15. Workflow Provider
16. Dataset Inputs and Curve Manager
17. Iteration
18. Parallelization
19. Curve Digitization
20. Simulated Annealing with Polynomial Regression
21. Video Analyzer Worker
22. ML Workers
23. Generic Optimizer Workflow
24. Workflow Simlytiks Mapper
25. Worker Cheat Sheets
26. Workflow Glossary
27. Tutorial Videos
28. Publish, merge and sync Physicaltest responses
29. Frequently Asked Questions
30. Release Notes
d3VIEW Workflows Documentation
7. ML Workers
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7. ML Workers
¶
List of ML Workers available in Workflow. Each link can be used to access the Worker.
¶
Name
ML_LEARN_RFR
ML_LEARN_GBOOSTR
ML_LEARN_DTREEREG
ML_LEARN_GPR
ML_LEARN_SVR
ML_LEARN_RIDGE
ML_LEARN_LASSO
ML_LEARN_MLP
ML_LEARN_DTREE
ML_LEARN_MLP_CLASSIFY
ML_LEARN_BAYESIANRIDGE
ML_LEARN_SVC
ML_LEARN_GNB
ML_LEARN_BIRCHCLUSTERING
ML_LEARN_DBSCANCLUSTERING
ML_LEARN_SPECIALCLUSTERING
ML_LEARN_AUTO
ML_LEARN_LINEAR
ML_LEARN_ELASTICNET
ML_LEARN_LOGISTIC
ML_LEARN_SGDR
ML_LEARN_AGGLOMERATIVECLUSTERING
ML_LEARN_AFFINITYPROPOGATION
ML_LEARN_MEANSHIFT
ML_LEARN_KMEANS
ML_LEARN_RFC