tabular/src/autogluon/tabular/models/abstract/abstract_model.py
def _get_default_auxiliary_params(self) -> dict:
        """
        Dictionary of auxiliary parameters that dictate various model-agnostic logic, such as:
            Which column dtypes are filtered out of the input data, or how much memory the model is allowed to use.
        """
        default_auxiliary_params = dict(
            max_memory_usage_ratio=1.0,  # Ratio of memory usage allowed by the model. Values > 1.0 have an increased risk of causing OOM errors. Used in memory checks during model training to avoid OOM errors.
            # TODO: Add more params
            # max_memory_usage=None,
            # max_disk_usage=None,
            max_time_limit_ratio=1.0,  # ratio of given time_limit to use during fit(). If time_limit == 10 and max_time_limit_ratio=0.3, time_limit would be changed to 3.
            max_time_limit=None,  # max time_limit value during fit(). If the provided time_limit is greater than this value, it will be replaced by max_time_limit. Occurs after max_time_limit_ratio is applied.
            min_time_limit=0,  # min time_limit value during fit(). If the provided time_limit is less than this value, it will be replaced by min_time_limit. Occurs after max_time_limit is applied.
            # num_cpus=None,
            # num_gpus=None,
            # ignore_hpo=False,
            # max_early_stopping_rounds=None,
            # TODO: add option for only top-k ngrams
            ignored_type_group_special=None,  # List, drops any features in `self.feature_metadata.type_group_map_special[type]` for type in `ignored_type_group_special`. | Currently undocumented in task.
            ignored_type_group_raw=None,  # List, drops any features in `self.feature_metadata.type_group_map_raw[type]` for type in `ignored_type_group_raw`. | Currently undocumented in task.
            get_features_kwargs=None,  # Kwargs for `autogluon.tabular.features.feature_metadata.FeatureMetadata.get_features()`. Overrides ignored_type_group_special and ignored_type_group_raw. | Currently undocumented in task.
            # TODO: v0.1 Document get_features_kwargs_extra in task.fit
            get_features_kwargs_extra=None,  # If not None, applies an additional feature filter to the result of get_feature_kwargs. This should be reserved for users and be None by default. | Currently undocumented in task.
        )
        return default_auxiliary_params

        Dictionary of auxiliary parameters that dictate various model-agnostic logic, such as:
            Which column dtypes are filtered out of the input data, or how much memory the model is allowed to use.
        
Dictionary of auxiliary parameters that dictate various model-agnostic logic, such as:
Which column dtypes are filtered out of the input data, or how much memory the model is allowed to use.
Dictionary of auxiliary parameters that dictate various model - agnostic logic such as : Which column dtypes are filtered out of the input data or how much memory the model is allowed to use .
def _get_default_auxiliary_params(self) -> dict:
        default_auxiliary_params = dict(
            max_memory_usage_ratio=1.0,  
            max_time_limit_ratio=1.0,  
            max_time_limit=None,  
            min_time_limit=0,  
            ignored_type_group_special=None,  
            ignored_type_group_raw=None,  
            get_features_kwargs=None,  
            get_features_kwargs_extra=None,  
        )
        return default_auxiliary_params
def _get_default_auxiliary_params ( self ) -> dict : default_auxiliary_params = dict ( max_memory_usage_ratio = 1.0 , max_time_limit_ratio = 1.0 , max_time_limit = None , min_time_limit = 0 , ignored_type_group_special = None , ignored_type_group_raw = None , get_features_kwargs = None , get_features_kwargs_extra = None , ) return default_auxiliary_params
Dictionary of auxiliary parameters that dictate various model-agnostic logic, such as:
Which column dtypes are filtered out of the input data, or how much memory the model is allowed to use.
Dictionary of auxiliary parameters that dictate various model - agnostic logic such as : Which column dtypes are filtered out of the input data or how much memory the model is allowed to use .
"""
        Dictionary of auxiliary parameters that dictate various model-agnostic logic, such as:
            Which column dtypes are filtered out of the input data, or how much memory the model is allowed to use.
        """ # Ratio of memory usage allowed by the model. Values > 1.0 have an increased risk of causing OOM errors. Used in memory checks during model training to avoid OOM errors. # TODO: Add more params # max_memory_usage=None, # max_disk_usage=None, # ratio of given time_limit to use during fit(). If time_limit == 10 and max_time_limit_ratio=0.3, time_limit would be changed to 3. # max time_limit value during fit(). If the provided time_limit is greater than this value, it will be replaced by max_time_limit. Occurs after max_time_limit_ratio is applied. # min time_limit value during fit(). If the provided time_limit is less than this value, it will be replaced by min_time_limit. Occurs after max_time_limit is applied. # num_cpus=None, # num_gpus=None, # ignore_hpo=False, # max_early_stopping_rounds=None, # TODO: add option for only top-k ngrams # List, drops any features in `self.feature_metadata.type_group_map_special[type]` for type in `ignored_type_group_special`. | Currently undocumented in task. # List, drops any features in `self.feature_metadata.type_group_map_raw[type]` for type in `ignored_type_group_raw`. | Currently undocumented in task. # Kwargs for `autogluon.tabular.features.feature_metadata.FeatureMetadata.get_features()`. Overrides ignored_type_group_special and ignored_type_group_raw. | Currently undocumented in task. # TODO: v0.1 Document get_features_kwargs_extra in task.fit # If not None, applies an additional feature filter to the result of get_feature_kwargs. This should be reserved for users and be None by default. | Currently undocumented in task.
self