User guide: contents
- 1. Introduction
- 2. Installation of astroML
- 3. Data Sets
- 4. Unsupervised Learning: Density Estimation
- 5. Unsupervised Learning: Clustering
- 6. Two-point Correlation Functions
- 7. Unsupervised Learning: Dimensionality Reduction
- 8. Supervised Learning: Regression
- 9. Supervised Learning: Classification
- 10. Time Series Analysis
- 11. Class reference
- 11.1. Plotting Functions:
astroML.plotting - 11.2. Density Estimation & Histograms:
astroML.density_estimation - 11.3. Linear Regression & Fitting:
astroML.linear_model - 11.4. Loading of Datasets:
astroML.datasets - 11.5. Time Series Analysis:
astroML.time_series - 11.6. Statistical Functions:
astroML.stats - 11.7. Dimensionality Reduction:
astroML.dimensionality - 11.8. Correlation Functions:
astroML.correlation - 11.9. Filters:
astroML.filters - 11.10. Fourier and Wavelet Transforms:
astroML.fourier - 11.11. Luminosity Functions:
astroML.lumfunc - 11.12. Classification:
astroML.classification - 11.13. Resampling:
astroML.resample
- 11.1. Plotting Functions:
- 12. Other Resources