teaspoon
1. Getting Started
1.1. Installation
1.2. Optional Dependencies
1.3. Issues
2. Modules
2.1. Make Data (MakeData) Module
2.1.1. Point Cloud Data Generation (PointCloud) Module
2.1.2. Dynamical Systems Library (DynSysLib) Module
2.2. Parameter Selection Module
2.2.1. Mutual Information
2.2.2. Auto-correlation
2.2.3. Fourier Spectrum Analysis
2.2.4. Permutation Auto Mutual Information
2.2.5. Multi-scale Permutation Entropy
2.2.6. False Nearest Neighbors
2.3. Signal Processing (SP) Module
2.3.1. Time Series Analysis (TSA) Tools
2.3.2. Network Representation of Time Series
2.3.3. Information Module
2.3.4. Miscellaneous
2.3.5. Texture Analysis
2.3.6. Stochastic P-Bifurcation Detection
2.3.7. Parameter Path Optimization
2.4. Topological Data Analaysis (TDA) Module
2.4.1. Persistent Homology of Networks (PHN) Module
2.4.2. Distances
2.4.3. Drawing
2.4.4. Persistence
2.4.5. Zero Dimensional Sublevel Set Persistence (SLSP) Module
2.4.6. Magnitude
2.4.7. Fast Zigzag
2.5. Machine Learning (ML) Module
2.5.1. Datasets
2.5.2. Featurization
2.5.3. Classification
2.5.4. References
2.6. Data Assimilation and Forecasting (DAF)
2.6.1. Forecasting
2.6.2. Data Assimilation
3. Example Notebooks
4. Contributing
4.1. Contributing to Documentation
5. License
6. Citing
teaspoon
5.
License
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5.
License
GNU GENERAL PUBLIC LICENSE
Version: 3, 29 June 2007