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from dataclasses import dataclass |
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from pathlib import Path |
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@dataclass(frozen=True) |
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class DataIngestionConfig: |
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root_dir: Path |
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source_URL: str |
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local_data_file: Path |
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unzip_dir: Path |
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@dataclass(frozen=True) |
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class PrepareBaseModelConfig: |
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root_dir: Path |
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base_model_path: Path |
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updated_base_model_path: Path |
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params_image_size: list |
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params_include_top: bool |
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params_weights: str |
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params_classes: int |
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@dataclass(frozen=True) |
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class TrainingConfig: |
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root_dir: Path |
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trained_model_path: Path |
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updated_base_model_path: Path |
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training_data: Path |
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params_epochs: int |
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params_batch_size: int |
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params_image_size: list |
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@dataclass(frozen=True) |
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class EvaluationConfig: |
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path_of_model: Path |
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training_data: Path |
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all_params: dict |
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mlflow_uri: str |
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params_image_size: list |
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params_batch_size: int |
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