mleko.pipeline.steps

Subpackage containing specialized pipeline steps for various data processing tasks.

This subpackage offers a collection of pipeline steps, each designed for a specific purpose: data ingestion, data conversion, and other data manipulation tasks. By using these unique steps sequentially, you can create a complete data processing workflow within the pipeline.

Submodules

• mleko.pipeline.steps.convert_step
• mleko.pipeline.steps.export_step
• mleko.pipeline.steps.feature_select_step
• mleko.pipeline.steps.filter_step
• mleko.pipeline.steps.ingest_step
• mleko.pipeline.steps.model_step
• mleko.pipeline.steps.split_step
• mleko.pipeline.steps.transform_step
• mleko.pipeline.steps.tune_step

Package Contents

Classes

ConvertStep	Pipeline step that manages data conversion from one format to another.
ExportStep	Pipeline step that manages data exporting to a destination using a specified BaseExporter.
FeatureSelectStep	Pipeline step that selects a subset of features from a DataFrame.
FilterStep	Pipeline step that filters a DataFrame.
IngestStep	Pipeline step that manages data ingestion from a configured data source.
ModelStep	Pipeline step for model training and prediction.
SplitStep	Pipeline step that splits a DataFrame into two parts.
TransformStep	Pipeline step for transformation of features in DataFrame.
TuneStep	Pipeline step for hyperparameter tuning.