NetworkSecurity / networksecurity /entity /artifact_entity.py
Inder-26
Model Trainer And Evaluation With Hyperparameter Tuning
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from dataclasses import dataclass
@dataclass
class DataIngestionArtifact:
training_file_path:str
testing_file_path:str
@dataclass
class DataValidationArtifact:
validation_status: bool
valid_train_file_path: str
valid_test_file_path: str
invalid_train_file_path: str
invalid_test_file_path: str
drift_report_file_path: str
@dataclass
class DataTransformationArtifact:
transformed_train_file_path: str
transformed_test_file_path: str
transformed_object_file_path: str
@dataclass
class ClassificationMetricArtifact:
f1_score: float
precision_score: float
recall_score: float
@dataclass
class ModelTrainerArtifact:
trained_model_file_path: str
train_metric_artifact: ClassificationMetricArtifact
test_metric_artifact: ClassificationMetricArtifact
@dataclass
class ModelTrainerConfig:
model_trainer_dir: str
trained_model_file_path: str