Source code for HIVECOTEV1Classifier_module

from typing import Any, Dict, List

from aeon.classification.hybrid._hivecote_v1 import HIVECOTEV1

from ml_grid.pipeline.data import pipe


[docs] class HIVECOTEV1_class: """A wrapper for the aeon HIVECOTEV1 time-series classifier. This class provides a consistent interface for the HIVECOTEV1 classifier, including defining a hyperparameter search space. Attributes: algorithm_implementation: An instance of the aeon HIVECOTEV1 classifier. method_name (str): The name of the classifier method. parameter_space (Dict[str, List[Any]]): The hyperparameter search space for the classifier. """
[docs] algorithm_implementation: HIVECOTEV1
[docs] method_name: str
[docs] parameter_space: Dict[str, List[Any]]
def __init__(self, ml_grid_object: pipe): """Initializes the HIVECOTEV1_class. Args: ml_grid_object (pipe): An instance of the main data pipeline object. """ random_state_val = ml_grid_object.global_params.random_state_val verbose_param = ml_grid_object.verbose n_jobs_model_val = ml_grid_object.global_params.n_jobs_model_val self.algorithm_implementation = HIVECOTEV1() self.method_name = "HIVECOTEV1" self.parameter_space = { "stc_params": [None], "tsf_params": [None], "rise_params": [None], "cboss_params": [None], "verbose": [verbose_param], "n_jobs": [n_jobs_model_val], "random_state": [random_state_val], }