Creating Models

The next step towards creating a new dataset is to create or obtain a model that will be included.

Browsing models

Similar to the publications and keywords, we can browse the list of available models with the get_models() method:

models = gwl.get_models()

which returns a list of Model objects:

>>> for model in models:
...     print(model)

Model("Fiducial")
Model("Optimistic CE")

This method takes name, description and summary arguments to filter the list of models, or it can take _id to obtain a specific model by ID.

Creating models

If we’re unable to find the model to include in our dataset, we can create a new model in a similar fashion to publications and keywords. In this case, the relevant method is create_model():

model = gwl.create_model(name='Pessimistic CE')

We can also supply description and summary arguments to help further identify the model.

Updating and deleting models

Similarly to publications, we can update models with the Model.update() method. For example, in this case, we forgot that we should have added a description to our new model:

>>> model.update(description="A glass half empty kind of CE")
>>> print(model.description)

A glass half empty kind of CE

Models can have all of their parameters updated with this method, except for ID. If necessary, models may also be removed from the GWLandscape database with Model.delete().