from typing import Any, Dict, List
from aeon.classification.feature_based._signature_classifier import SignatureClassifier
from ml_grid.pipeline.data import pipe
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class SignatureClassifier_class:
"""A wrapper for the aeon SignatureClassifier time-series classifier."""
def __init__(self, ml_grid_object: pipe):
"""Initializes the SignatureClassifier_class.
Args:
ml_grid_object (pipe): The main data pipeline object, which contains
data and global parameters.
"""
random_state_val = ml_grid_object.global_params.random_state_val
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self.algorithm_implementation: SignatureClassifier = SignatureClassifier()
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self.method_name: str = "SignatureClassifier"
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self.parameter_space: Dict[str, List[Any]] = {
"random_state": [random_state_val],
}