
Print method for tidylearn_compute_advice objects
Source: R/compute-advisor.R
print.tidylearn_compute_advice.RdPrint method for tidylearn_compute_advice objects
Usage
# S3 method for class 'tidylearn_compute_advice'
print(x, ...)Examples
# Runtime, peak memory and cost per tier, before committing to a fit
advice <- tl_compute_advisor("forest", data = iris, formula = Species ~ .)
print(advice)
#> <tidylearn compute advice>
#> Problem: forest on 150 rows x 4 cols (~0.0 MB)
#>
#> Tier estimates (order-of-magnitude):
#> Local CPU: 0.0s (peak RAM ~0 MB, 4 cores)
#> Local GPU: -- [not applicable]
#> Cloud: 45.1s (~$0.01) [cpu-small (2 CPU / 8 GB)] [not configured]
#>
#> Recommendation: cpu
#>
#> Reasoning:
#> - Estimated local CPU runtime ~0.0s. Cloud cold-start (~45s) would dominate; just run it locally.
#>
#> Notes:
#> - Method 'forest' has no upstream GPU path; local GPU does not apply.
#> - Cloud integration is not yet configured in tidylearn. Estimates shown so users can see the tier's shape; actual submission is not yet supported.