Suppress scikit-learn warning "X has feature names"

[lars-reimann]

Describe the bug

scikit-learn issues a UserWarning when calling the predict method:

C:\Users\Lars\AppData\Local\pypoetry\Cache\virtualenvs\safe-ds-wkHRa4ib-py3.11\Lib\site-packages\sklearn\base.py:432: UserWarning: X has feature names, but LinearRegression was fitted without feature names
  warnings.warn(

To Reproduce

Run this code:

from safeds.data import SupervisedDataset
from safeds.data.tabular import Table

training_set = Table({
    "a":      [3, 4,  8,  6, 5],
    "b":      [2, 2,  1,  6, 3],
    "c":      [1, 1,  1,  1, 1],
    "result": [6, 7, 10, 13, 9]
})

supervised_training_set = SupervisedDataset(
    training_set,
    target_column="result"
)


from safeds.ml.regression import LinearRegression

model = LinearRegression()
model.fit(supervised_training_set)

test_set = Table({
    "a": [1, 1, 0, 2, 4],
    "b": [2, 0, 5, 2, 7],
    "c": [1, 4, 3, 2, 1]})

model.predict(dataset=test_set)

Expected behavior

No warning, or at least a warning of our system. We should not leak implementation details.

Screenshots (optional)

No response

Additional Context (optional)

No response

[lars-reimann]

🎉 This issue has been resolved in version 0.3.0 🎉

The release is available on:

• v0.3.0
• GitHub release

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