Modes files (background.txt) are stored alongside all datasets.
How do we want to refer to these?
- Recommended modes?
- Default modes?
What I actually want is to store a schema listing
- type information
- the variables
The actual way modes should be set depends on the problem being solved.
How might they be accessed?
Assuming we're already in a workflow like:
from relational_datasets import load
train, test = load("toy_cancer")
# Maybe?
modes = load_default_modes("toy_cancer")
modes = load_modes("toy_cancer")Some part of them should be implied by the data itself. For example, when implementing the conversion from vector-based datasets this felt like a natural way to implement things:
from relational_datasets.convert import from_numpy
import numpy as np
data, modes = from_numpy(
# ...
)
Modes files (
background.txt) are stored alongside all datasets.How do we want to refer to these?
What I actually want is to store a schema listing
The actual way modes should be set depends on the problem being solved.
How might they be accessed?
Assuming we're already in a workflow like:
Some part of them should be implied by the data itself. For example, when implementing the conversion from vector-based datasets this felt like a natural way to implement things: