Source code for nicetoolbox.evaluation.config_schema

"""
Data models for evaluation configuration files and final evaluation config.
Validated with Pydantics BaseModel.
"""

from typing import Dict, List

from pydantic import BaseModel, Field

from ..configs.schemas.evaluation_config import EvaluationMetricType

# ---------------------------------------------
# Final eval config for main loop iterator:
# (run_config, dataset_properties, eval_config)


[docs]class FinalEvaluationConfig(BaseModel): # Global settings relevant to the task device: str verbose: bool batchsize: int # From DatasetPropertiesEvaluation (for this specific task) prediction_components: Dict[str, List[str]] annotation_components: Dict[str, List[str]] metric_types: Dict[str, EvaluationMetricType] = Field(default_factory=dict) component_algorithm_mapping: Dict[str, List[str]] = Field(default_factory=dict)