Contents
Introduction and Citation
Collaborators
Minerals
Chemistry
Units
Installation & Updating
Importing Package
Importing Data
Data Import Complete
Submitting data
FAQs and Troubleshooting
Change Log
Applying Trained ML Models
I. Supervised Machine Learning (Bayesian Neural Networks with Variational Inference)
II. Unsupervised Machine Learning (Autoencoders and Clustering)
Detailed Code Documentation
Building-block functions
References
References
mineralML
Welcome to mineralML’s documentation!
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Welcome to mineralML’s documentation!
Contents
Introduction and Citation
Collaborators
Minerals
Chemistry
Units
Installation & Updating
Installation
Updating
Importing Package
Importing Data
Data Import Complete
Submitting data
FAQs and Troubleshooting
Change Log
Version 0.0.0.6
Version 0.0.0.5
Version 0.0.0.4
Version 0.0.0.3
Version 0.0.0.2
Version 0.0.0.1
Version 0.0.0.0
Applying Trained ML Models
I. Supervised Machine Learning (Bayesian Neural Networks with Variational Inference)
Load and prepare data for analysis
Apply the trained neural network
Examine the predicted mineral classifications
II. Unsupervised Machine Learning (Autoencoders and Clustering)
Prepare data for analysis
Apply the trained autoencoder
Examine the latent variables and predicted mineral classifications
Plot latent space
Detailed Code Documentation
Building-block functions
mineralML Documentation
Core Functions
Supervised Machine Learning Functions
Unsupervised Machine Learning Functions
Stoichiometric Functions
Confusion Matrix Functions
References
References
Read the Docs
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Versions
latest
stable
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