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| from datetime import datetime | |
| import os | |
| from src.constant import training_pipeline | |
| 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 Data_ingestion_config: | |
| def __init__(self, training_pipeline_config:TrainingPipelineConfig): | |
| self.data_ingestion_dir = os.path.join(training_pipeline_config.artifact_dir,training_pipeline.DATA_INGESTION_DIR_NAME) | |
| self.feature_store_file_path = os.path.join(self.data_ingestion_dir, training_pipeline.DATA_INGESTION_FEATURE_STORE_DIR, training_pipeline.FILE_NAME) | |
| self.train_file_path = os.path.join(self.data_ingestion_dir, training_pipeline.DATA_INGESTION_INGESTED_DIR, training_pipeline.TRAIN_FILE_NAME) | |
| self.test_file_path = os.path.join(self.data_ingestion_dir, training_pipeline.DATA_INGESTION_INGESTED_DIR, training_pipeline.TEST_FILE_NAME) | |
| self.database_name = training_pipeline.DATA_INGESTION_DATBASE_NANE | |
| self.collection_name = training_pipeline.DATA_INGESTION_COLLECTION_NAME | |
| self.train_test_split_ratio = training_pipeline.DATA_INGESTION_TRAIN_TEST_SPLIT_RATION | |
| class Data_validation_config: | |
| 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_NAMR) | |
| 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 Data_transformation_config: | |
| 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_DIR_NAME, | |
| 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_DIR_NAME, | |
| 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 Model_trainer_config: | |
| 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_MODEL_DIR, training_pipeline.MODEL_TRAINER_MODEL_NAME | |
| ) | |
| self.expected_accuracy:float = training_pipeline.MODEL_TRAINER_EXPECTED_SCORE | |
| self.overfitting_underfitting_threshold = training_pipeline.MODEL_TRAINER_OVERFITTING_UNDERFITTING_THRESHOLD | |