Table 2:

AutoLFADS Performance. An evaluation of AutoLFADS performance on Ray and KubeFlow. Test trial performance comparison on four neurally relevant metrics for evaluating latent variable models: co-smoothing on held-out neurons (co-bps), hand trajectory decoding on held-out neurons (vel R2), match to peristimulus time histogram (PSTH) on held-out neurons (psth R2), forward prediction on held-in neurons (fp-bps). The trained models converge with less than 5% difference between the frameworks on the above metrics. The percent difference is calculated with respect to the Ray framework.

Framework	co-bps (↑)	vel R2 (↑)	psth R2 (↑)	fp-bps (↑)
Ray	0.3364	0.9097	0.6360	0.2349
KubeFlow	0.35103	0.9099	0.6339	0.2405
Percent difference (%)	+4.35	+0.03	−0.33	+2.38