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Packages for fast dataflow and workflow processing

Project description

MLFastFlow

A Python package for fast dataflow and workflow processing.

Installation

pip install mlfastflow

Features

  • Easy-to-use data sourcing with the Sourcing class
  • Flexible vector search capabilities
  • Optimized for data processing workflows

Quick Start

from mlfastflow import Sourcing

# Create a sourcing instance
sourcing = Sourcing(
    query_df=your_query_dataframe,
    db_df=your_database_dataframe,
    columns_for_sourcing=["column1", "column2"],
    label="your_label"
)

# Process your data
sourced_db_df_without_label, sourced_db_df_with_label = (
    sourcing.sourcing()
)

License

MIT

Author

Xileven

Project details


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This version

0.1.5

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