[MNT] Remove redundant __init__ by adding ClassVar

[Omswastik-11]

Fixes #1578

[fkiraly]

This changes a key part of the public API.

Please do not introduce breaking changes in refactors.

[Omswastik-11]

Hi @fkiraly !!
Thanks for suggestion . I reverted the changes that affect public API .

from openml.tasks.task import (
    OpenMLClassificationTask,
    OpenMLRegressionTask,
    OpenMLClusteringTask,
    OpenMLLearningCurveTask,
    TaskType,
)

def main():
    # Classification (defaults estimation_procedure_id=1)
    cls_task = OpenMLClassificationTask(
        task_id=None,
        task_type_id=TaskType.SUPERVISED_CLASSIFICATION,
        task_type="Supervised Classification",
        data_set_id=1,
        target_name="class",
    )
    print("Classification est proc:", cls_task.estimation_procedure_id)

    # Regression (defaults estimation_procedure_id=7)
    reg_task = OpenMLRegressionTask(
        task_id=None,
        task_type_id=TaskType.SUPERVISED_REGRESSION,
        task_type="Supervised Regression",
        data_set_id=2,
        target_name="target",
    )
    print("Regression est proc:", reg_task.estimation_procedure_id)

    # Clustering (defaults estimation_procedure_id=17)
    clu_task = OpenMLClusteringTask(
        task_id=None,
        task_type_id=TaskType.CLUSTERING,
        task_type="Clustering",
        data_set_id=3,
    )
    print("Clustering est proc:", clu_task.estimation_procedure_id)

    # Learning curve (defaults estimation_procedure_id=13)
    lc_task = OpenMLLearningCurveTask(
        task_id=None,
        task_type_id=TaskType.LEARNING_CURVE,
        task_type="Learning Curve",
        data_set_id=4,
        target_name="class",
    )
    print("Learning curve est proc:", lc_task.estimation_procedure_id)

if __name__ == "__main__":
    main()

[fkiraly]

Looks ok, two main requests:

• do not delete the variables from the docstring, they are still valid
• there are task specific variables which imo should remain with the specific task class