sub:assertion {
  <http://purl.org/np/RAKH3ucJ5cHRry3pkjynB74WpStxk9yQvx0W7mesad5xE#step> pplan:isStepOfPlan sub:_plan ;
    dul:precedes <http://purl.org/np/RAkhwa67iBiJMYVSI7jCIoC6tWJg7KkVt6bo0czaSMjBc#step> , <http://purl.org/np/RApoHs5mnMsWWlaf1OeBjHQVJywG01Am0Q_L0jkImXggw#step> .
  sub:_LinguisticSystem a schema:ComputerLanguage ;
    rdfs:label "python" ;
    rdfs:seeAlso <https://www.wikidata.org/wiki/Q28865> ;
    owl:versionInfo "3.9.15.final.0" .
  sub:_plan dc1:description """@is_fairworkflow(label='My model training workflow')
def training_workflow(n_jobs: int):

    # Define models hyper params
    hyper_params = {
        'n_jobs': n_jobs,
        'random_state': 42
    }

    data = load_data()
    y = load_data_y()

    # Train model (here we use a stub dataset just to make the example clear)
    model = fit_classifier(hyper_params, data, y)

    # Evaluate the model using your own metrics
    scores = evaluate(model)

    # Save the model generated to the models/ folder
    loaded_model = save_model(
        model,
        \"models/my_model\",
        sample_data=data,
        scores=scores,
        hyper_params=hyper_params,
    )
    return loaded_model
    # Optionally you can save other files (dataframes, JSON objects) in the data/ folder
""" ;
    dc1:language sub:_LinguisticSystem ;
    a pplan:Plan ;
    rdfs:label "My model training workflow" .
  <http://purl.org/np/RAVhQzoiQiAZW4aaeHxv40ePxm8tFaEKvAogcY7XUk-EU#step> pplan:isStepOfPlan sub:_plan ;
    dul:precedes <http://purl.org/np/RApoHs5mnMsWWlaf1OeBjHQVJywG01Am0Q_L0jkImXggw#step> .
  <http://purl.org/np/RAkhwa67iBiJMYVSI7jCIoC6tWJg7KkVt6bo0czaSMjBc#step> pplan:isStepOfPlan sub:_plan .
  <http://purl.org/np/RApoHs5mnMsWWlaf1OeBjHQVJywG01Am0Q_L0jkImXggw#step> pplan:isStepOfPlan sub:_plan ;
    dul:precedes <http://purl.org/np/RAkhwa67iBiJMYVSI7jCIoC6tWJg7KkVt6bo0czaSMjBc#step> , <http://purl.org/np/RAxfx6xXdKqzXy1tV-q8hvhiLXgqVYErxidKuGgmMRw-s#step> .
  <http://purl.org/np/RAxfx6xXdKqzXy1tV-q8hvhiLXgqVYErxidKuGgmMRw-s#step> pplan:isStepOfPlan sub:_plan ;
    dul:precedes <http://purl.org/np/RAkhwa67iBiJMYVSI7jCIoC6tWJg7KkVt6bo0czaSMjBc#step> .
  <http://www.example.org/unpublished-evaluate#out1> pplan:bindsTo <http://www.example.org/unpublished-save_model#scores> .
  <http://www.example.org/unpublished-fit_classifier#out1> pplan:bindsTo <http://www.example.org/unpublished-evaluate#model> , <http://www.example.org/unpublished-save_model#model> .
  <http://www.example.org/unpublished-load_data#out1> pplan:bindsTo <http://www.example.org/unpublished-fit_classifier#data> , <http://www.example.org/unpublished-save_model#sample_data> .
  <http://www.example.org/unpublished-load_data_y#out1> pplan:bindsTo <http://www.example.org/unpublished-fit_classifier#y> .
  <http://www.example.org/unpublished-save_model#out1> pplan:bindsTo sub:_result .
}