Archived
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DQM-ML Pipeline
This package provides the orchestration engine for DQM-ML V2. It handles the lifecycle of data processing, from loading to metric computation and output writing.
Key Components
DatasetPipeline
The main orchestrator that:
- Loads the configuration.
- Discovers plugins via entry points.
- Executes the streaming loop.
- Manages memory and I/O efficiency.
Protocols
DataLoader: A factory for creating data selections (e.g., Parquet, CSV loaders).DataSelection: Represents a specific subset of data and provides an iterator over batches.OutputWriter: Persists computed features or metrics to disk.
Built-in Loaders
parquet: Optimized loading using PyArrow.csv: Flexible loading using Pandas.
Metadata
Release files for dqm-ml-pipeline 1.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dqm_ml_pipeline-1.1.5.tar.gz | 11.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dqm_ml_pipeline-1.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.9 kB
Release files / dqm_ml_pipeline-1.1.5.tar.gz
| Download URL | dqm_ml_pipeline-1.1.5.tar.gz |
|---|---|
| Size | 11.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / dqm_ml_pipeline-1.1.5-py3-none-any.whl
| Download URL | dqm_ml_pipeline-1.1.5-py3-none-any.whl |
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| Size | 13.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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