Comments (1)
No need to do this any more as the output is a structure, and will simply not contain d'_data if the input is gaussian.
from integrate-and-classify-normal-distributions.
Related Issues (20)
- `samp_errs` for multi-class
- Bill's test of class. err. vs prior for model (with bootstrap) and for data
- Merge `samp_val` and `samp_counts_multi`
- Mahalanobis distance for equal covariance.
- Compare # of paremeters between quadratic form and gx2
- Reorder examples
- Physics analogies
- Vector function of normal is just joint distribution
- Plot_boundary isn't taking into account `fun_level`
- "domain picture" and "decision variable picture"
- make norm_fun_cdf etc also accept quadratic functions
- Kris' changes
- Optimal linear boundary
- New d' results
- Dimension reduction contour plots in fig. 6f
- norm_prob and fun_prob plots
- Standardize math notation format
- d' text changes
- fun_prob plot in fig. 2e HOT 1
- enable GPU for integrals for ray and gx2 HOT 1
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from integrate-and-classify-normal-distributions.