Skip to content

Commit c43d409

Browse files
authored
Update README.md
1 parent 3f58dbc commit c43d409

File tree

1 file changed

+1
-1
lines changed

1 file changed

+1
-1
lines changed

README.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -54,5 +54,5 @@ You have to paste the following lines of code (replace the relevant parts where
5454
+ Run the command `pip install -r requirements.txt` which will install all required libraries for DoConA in your fresh Python virtual environment
5555
+ On installation completion of the required libraries in the previous step, change into the `docona/` directory of your local copy of the code (this directory contains all `.py` code files for the tool)
5656
+ Run the command `python docona.py`. **Note:** the pipeline can take a while to run on a mid-range machine (E.g. Quad-core, 16GB of RAM). For example, given 10,000 documents and a representative random sample of 500 documents, with two additional pretrained models, the pipeline can take close to 24 hours to run on such a machine. It is recommended to run the pipeline on a high performance computing platform
57-
+ On successful completion of the pipeline, there will a `results.csv` placed in the folder `outputdata/`. DoConA will also generate various other model and data files during the run and will place these in the folders `inputdata/resources` and `outputdata/`
57+
+ On successful completion of the pipeline, there will a `results.csv` placed in the folder `outputdata/`. DoConA will also generate various other model and data files during the run and will place these in the folders `inputdata/resources/` and `outputdata/`
5858
+ Please see the [wiki](https://github.com/MaastrichtU-IDS/docona/wiki) for more detailed information about the generated data

0 commit comments

Comments
 (0)