approx.hessian.vector.product | Title |
fit.A | Fit function coefficients for target latent variable values. |
fit.bcgplvm | Fit a back-constrained GPLVM model |
fit.bcgplvm.sequential | Fit a backconstrained GPLVM model sequentially |
fit.bcsgplvm | Fit a backconstrained structured GPLVM model |
fit.gplvm | Fit an unconstrained GPLVM model |
fit.lsa_bcsgplvm | Fit a large scale approximation back constrained structured... |
generate.structured.dataset | Generate structured synthetic data |
noisyComparison | Compare BCGPLVM to BCSGPLVM |
predict.LSA_BCSGPLVM | Predict data for an LSA_BCSGPLVM model |
replay.plots | Replay the plots from fitting an LSA_BCSGPLVM model |
sample.from.model | Sample from a structured GPLVM model |
select.bc.l.centile | Select a lengthscale for constrained optimization by... |
select.bc.l.median | Select a lengthscale for constrained optimization by median |
select.bc.l.minmax | Select a lengthscale for constrained optimization by min and... |
sparse.gplvm | Sparse GPLVM |
structured.gplvm.fixedC | Fit a structured GPLVM model with fixed structure covariance |
structured.kernel.Matrix | Structured data kernel |
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