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unstructured-data

Official

Extract structured data from unstructured files and store in Hopsworks feature groups.

Data & Analytics#machine learning#feature extraction#unstructured data#data preprocessing#Hopsworks
Authorlogicalclocks
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the process of parsing unstructured data from files and writing it to a feature group in Hopsworks, enabling efficient feature reuse across models.

Core Features & Use Cases

  • Unstructured Data Parsing: Extracts structured fields from various unstructured file types (emails, PDFs, logs, transcripts, HTML).
  • Feature Group Creation: Stores extracted features in a Hopsworks feature group for model consumption.
  • Use Case: For a data scientist who needs to process and prepare unstructured data for machine learning models, this Skill can automatically extract relevant features from raw text data, saving time and ensuring consistency.

Quick Start

Use the unstructured-data skill to parse the 'sales_data.txt' file and store the extracted features in the 'hops-fg' feature group.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: unstructured-data
Download link: https://github.com/logicalclocks/hopsworks-api/archive/main.zip#unstructured-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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