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| from datetime import datetime | |
| import os | |
| from src.constants import training_pipeline | |
| print(training_pipeline.PIPELINE_NAME) | |
| print(training_pipeline.ARTIFACT_DIR) | |
| class TrainingPipelineConfig: | |
| def __init__(self, timestamp=datetime.now()): | |
| timestamp=timestamp.strftime("%m_%d_%Y_%H_%M_%S") | |
| self.pipeline_name = training_pipeline.PIPELINE_NAME | |
| self.artifact_name = training_pipeline.ARTIFACT_DIR | |
| self.artifact_dir = os.path.join(self.artifact_name, timestamp) | |
| self.model_dir = os.path.join("final_model") | |
| self.timestamp:str=timestamp | |
| class DataIngestionConfig: | |
| def __init__(self, training_pipeline_config:TrainingPipelineConfig): | |
| self.data_ingestion_dir:str = os.path.join( | |
| training_pipeline_config.artifact_dir, training_pipeline.DATA_INGESTION_DIR_NAME | |
| ) | |
| self.feature_store_file_path:str = os.path.join( | |
| self.data_ingestion_dir, training_pipeline.DATA_INGESTION_FEATURE_STORE_DIR, training_pipeline.FILE_NAME | |
| ) | |
| self.training_file_path:str = os.path.join( | |
| self.data_ingestion_dir, training_pipeline.DATA_INGESTION_INGESTED_DIR, training_pipeline.TRAIN_FILE_NAME | |
| ) | |
| self.testing_file_path:str = os.path.join( | |
| self.data_ingestion_dir, training_pipeline.DATA_INGESTION_INGESTED_DIR, training_pipeline.TEST_FILE_NAME | |
| ) | |
| self.train_test_split_ratio:float = training_pipeline.DATA_INGESTION_TRAIN_TEST_SPLIT_RATION | |
| self.collection_name:str = training_pipeline.DATA_INGESTION_COLLECTION_NAME | |
| self.database_name:str = training_pipeline.DATA_INGESTION_DATABASE_NAME | |
| class DataValidationConfig: | |
| def __init__(self, training_pipeline_config:TrainingPipelineConfig): | |
| self.data_validation_dir:str = os.path.join(training_pipeline_config.artifact_dir, training_pipeline.DATA_VALIDATION_DIR_NAME) | |
| self.valid_data_dir:str = os.path.join(self.data_validation_dir, training_pipeline.DATA_VALIDATION_VALID_DIR) | |
| self.invalid_data_dir:str = os.path.join(self.data_validation_dir, training_pipeline.DATA_VALIDATION_INVALID_DIR) | |
| self.valid_train_file_path:str = os.path.join(self.valid_data_dir, training_pipeline.TRAIN_FILE_NAME) | |
| self.valid_test_file_path:str = os.path.join(self.valid_data_dir, training_pipeline.TEST_FILE_NAME) | |
| self.invalid_train_file_path:str = os.path.join(self.invalid_data_dir, training_pipeline.TRAIN_FILE_NAME) | |
| self.invalid_test_file_path:str = os.path.join(self.invalid_data_dir, training_pipeline.TEST_FILE_NAME) | |
| self.drift_report_file_path:str = os.path.join( | |
| self.data_validation_dir, | |
| training_pipeline.DATA_VALIDATION_DRIFT_REPORT_DIR, | |
| training_pipeline.DATA_VALIDATION_DRIFT_REPORT_FILE_NAME | |
| ) | |
| class DataTransformationConfig: | |
| def __init__(self, training_pipeline_config:TrainingPipelineConfig): | |
| self.data_transformation_dir:str = os.path.join(training_pipeline_config.artifact_dir, training_pipeline.DATA_TRANSFORMATION_DIR_NAME) | |
| self.transformed_train_file_path: str=os.path.join(self.data_transformation_dir, training_pipeline.DATA_TRANSFORMATION_TRANSFORMED_DATA_DIR, | |
| training_pipeline.TRAIN_FILE_NAME.replace("csv", "npy")) | |
| self.transformed_test_file_path: str = os.path.join(self.data_transformation_dir, training_pipeline.DATA_TRANSFORMATION_TRANSFORMED_DATA_DIR, | |
| training_pipeline.TEST_FILE_NAME.replace("csv", "npy")) | |
| self.transformed_object_file_path:str=os.path.join(self.data_transformation_dir, training_pipeline.DATA_TRANSFORMATION_TRANSFORMED_OBJECT_DIR, | |
| training_pipeline.PREPROCESSING_OBJECT_FILE_NAME) | |
| class ModelTrainerConfig: | |
| def __init__(self, training_pipeline_config:TrainingPipelineConfig): | |
| self.model_trainer_dir:str = os.path.join( | |
| training_pipeline_config.artifact_dir, training_pipeline.MODEL_TRAINER_DIR_NAME | |
| ) | |
| self.trained_model_file_path:str = os.path.join( | |
| self.model_trainer_dir, training_pipeline.MODEL_TRAINER_TRAINED_MODEL_DIR, | |
| training_pipeline.MODEL_FILE_NAME | |
| ) | |
| self.expected_accuracy:float = training_pipeline.MODEL_TRAINER_EXPECTED_SCORE | |
| self.overfitting_underfitting_threshold=training_pipeline.MODEL_TRAINER_OVER_FIITING_UNDER_FITTING_THRESHOLD | |