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NeuroMiner
Getting started
Introduction
License
Suggested Prerequisites
Installation & Configuration
Setting up NeuroMiner on macOS
How to configure Python with Matlab for NeuroMiner on the server
NeuroMiner interface
Main interface overview
Data entry in NeuroMiner
Define parameter template
Data Fusion
Cross-validation settings
Preprocessing pipeline
Classification algorithm
Learning algorithm parameters
Ensemble generation strategies
Visualization options
Prediction interpretation options
Model saving options
Define verbosity level
Inspect workspace
Save parameter template
Load training template
Multi-group analyses
Stacking
Use different label
Synthetic data
Initialize analyses
Preprocess features
Train supervised classifiers
Visualize classifiers
Interprete predictions
Result Viewer
Visualization results
ML Interpreter (MLI) results
Out of Sample Cross-Validation
Export model parameters
Load NeuroMiner structure
Save NeuroMiner structure
Change working directory
Estimate sample size (simulation tool)
Utilities
Parallelization
Parallelization on HPC server - NeuroMiner compilation
Repository
Open issue
.md
.pdf
Past Schools
Contents
What our 2023 students said
Previous years
Past Schools
#
What our 2023 students said
#
Previous years
#
Website
to previous summer schools.
Contents
What our 2023 students said
Previous years
