Starting the Prediction Pipeline¶
biokeen predict -m /path/to/model/directory -d /path/to/data/directory
where the value for the argument -m is the directory containing the model, in more detail following files must be contained in the directory:
These files are created automatically created when an experiment is configured through the CLI.
The value for the argument -d is the directory containing the data for which inference should be applied, and it needs to contain following files:
where entities.tsv contains all entities of interest, and relations.tsv all relations. PyKEEN will create all possible combinations of triples, and computes the predictions for them, and saves them in data directory in predictions.tsv.
Optionally, a set of triples can be provided that should be exluded from the prediction, e.g. all the triples contained in the training set:
pykeen-predict -m /path/to/model/directory -d /path/to/data/directory -t /path/to/triples.tsv
Hence, it is easily possible to compute plausibility scores forr all triples that are not contained in the training set.