Plot the results of prediction

# S3 method for tbl_deepredeff
plot(x, ...)

Arguments

x

tbl_deepredeff object

...

additional arguments ignored.

Value

class distribution plot

Examples

# \donttest{
# FASTA input
input_fasta <- system.file("extdata/example/fungi_sample.fasta", package = "deepredeff")

pred_result <- deepredeff::predict_effector(
  input = input_fasta,
  taxon = "fungi"
)
#> Error: Valid installation of TensorFlow not found.
#> 
#> Python environments searched for 'tensorflow' package:
#>  /usr/bin/python3.10
#>  /usr/bin/python3.10
#> 
#> Python exception encountered:
#>  Traceback (most recent call last):
#>   File "/home/runner/work/_temp/Library/reticulate/python/rpytools/loader.py", line 119, in _find_and_load_hook
#>     return _run_hook(name, _hook)
#>   File "/home/runner/work/_temp/Library/reticulate/python/rpytools/loader.py", line 93, in _run_hook
#>     module = hook()
#>   File "/home/runner/work/_temp/Library/reticulate/python/rpytools/loader.py", line 117, in _hook
#>     return _find_and_load(name, import_)
#> ModuleNotFoundError: No module named 'tensorflow'
#> 
#> 
#> You can install TensorFlow using the install_tensorflow() function.

plot(pred_result)
#> Error in eval(expr, envir, enclos): object 'pred_result' not found
# }