anchor.diff:  export CFG_PRM=$THIS/cfg-prm-N.sh
   ----
   +
  -See the comments in _cfg-prm-1.sh_, and _cfg-sys-1.sh_ for additional
  +See the comments in `test_infer/cfg-prm-1.sh`, and `test_infer/cfg-sys-1.sh` for additional
   information on the various configuration parameters and how to edit them.
   
  -. Edit `sh/infer.sh`, if necessary. `infer.sh` is used to run the Benchmark's
  +. Edit `sh/infer.sh`, if necessary. `infer.sh` is used to run the Uno benchmark's
   `uno_infer.py` python script. Lines 31-33 can be uncommented and edited
  -to create a multiple copies of the input data to avoid io contention. If
  -this is not the case, then the file should not need to be changed.
  -
  -. Launch the run using your _test-N.sh_ script, passing SITE, and optional experiment id as arguments (e.g., `./test-10.sh <site> [expid]`) where 
  +to create multiple copies of the input data to avoid IO contention. If
  +this is unnecessary, then the `infer.sh` should not need to be changed.
  +
  +. Launch the run using your `test-N.sh` script, passing SITE, and optional experiment id 
  +as arguments (e.g., `./test-10.sh <site> [expid]`) where 
   site can be one of local, cori, theta, summit etc.
   
   All the output from running the workflow will appear in a directory named with the
   experiment id, either your specified one or the auto-generated one. Each Uno
  -model inference run launched by the workflow runs in own directory: 
  -`exp_id/run/X` where _X_ is the id of the run and corresponds to the index of the line of input data that was used for that run, that is, `run/0` contains the output for the run that ran with the 1st line from the input 
  +model inference run launched by the workflow runs in its own directory: 
  +`exp_id/run/X` where _X_ is the id of the run and corresponds to the index of the 
  +line of input data that was used for that run. So, `run/0` contains 
  +the output for the run that ran with the 1st line from the input 
   file, `run/1` for the second line and so on. Each inference run will 
  -produce an `uno_pred.all.tsv` and an `uno_pred.tsv`. The first contains
  -the predictions for each feature and the second is an aggregate view of the first. Additionally a `log.txt` file is created in the experiment directory
  +produce an `uno_pred.all.tsv` and an `uno_pred.tsv` file. The first contains
  +the predictions for each feature and the second is an aggregate view 
  +of the first. Additionally a `log.txt` file is created in the experiment directory
   that contains the name of the data input file, the model, the output directory, 
  -and number of predictions for each model run.
  +and number of predictions performed for each inference run.
   
   ==== Associated Files
   
  -* Configuration and launch scripts in `test_infer/` (e.g. _cfg-prm-1.sh_, _test-1.sh_, etc.)
  +* Configuration and launch scripts in `test_infer/` (e.g. `cfg-prm-1.sh`, `test-1.sh`, etc.)
   * `swift/infer_workflow.swift` - swift file that executes the workflow
   * `swift/infer_workflow.sh` - launch script for the swift file. This script is 
   configured and launched from the scripts in `test_infer/`.
  
positive.code: export CFG_PRM=$THIS/cfg-prm-N.sh
  ----
  +
  See the comments in _cfg-prm-1.sh_, and _cfg-sys-1.sh_ for additional
  information on the various configuration parameters and how to edit them.
  
  . Launch the run using your _test-N.sh_ script, passing SITE, and optional experiment id as arguments (e.g., `./test-10.sh <site> [expid]`) where 
  site can be one of local, cori, theta, summit etc.
  
  All the output from running the workflow will appear in a directory named with the
  experiment id, either your specified one or the auto-generated one. Each Uno
  model run launched by the workflow runs in own directory: 
  `exp_id/run/X` where _X_ is the id of the run and corresponds to the index of the line of input data that was used for that run, that is, `run/0` contains the output for the run that ran with the 1st line from the upf input 
  file, `run/1` for the second line and so on.
  
  In addition, `inputs.txt` and `results.txt` are also written containing the parameters used for each run and the final val loss for each run, respectively.
  
  ==== Associated Files
  
  * Configuration and launch scripts in `test_upf/` (e.g. _cfg-prm-1.sh_, _test-1.sh_, etc.)
  * `swift/upf_workflow.swift` - swift file that executes the workflow
  * `swift/upf_workflow.sh` - launch script for the swift file. This script is 
  configured and launched from the scripts in `test_upf/`.
  
negative.code: === Inference
  
  . Create the inference parameter file. Each line of the inference parameter 
  file contains the HPO parameters for a single inference run in csv format with
  the following columns
  
  +
  