Privacy-Preserving Synthetic Data for 'LLM' Workflows

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Documentation for package ‘FakeDataR’ version 0.2.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

detect_sensitive_columns	Detect sensitive columns by name
export_fake	Save a fake dataset to disk
generate_fake_data	Generate Fake Data from Real Dataset Structure
generate_fake_from_schema	Generate fake data from a DB schema data.frame
generate_fake_posixct_column	Generate a Fake POSIXct Column
generate_fake_with_privacy	Generate fake data with privacy controls
generate_llm_prompt	Create a copy-paste prompt for LLMs
llm_bundle	Create a fake-data bundle for LLM workflows
llm_bundle_from_db	Build an LLM bundle directly from a database table
prepare_input_data	Prepare Input Data: Coerce to data.frame and (optionally) normalize values
schema_from_db	Extract a table schema from a DB connection
validate_fake	Validate a fake dataset against the original
zip_llm_bundle	Zip a set of files for easy sharing