hops-eda

Official

Streamline Exploratory Data Analysis with Hopsworks Feature Views

Authorlogicalclocks
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines exploratory data analysis (EDA) for Hopsworks Feature Views, enabling users to efficiently profile feature-view training data, check for data leakage, and generate EDA reports.

Core Features & Use Cases

  • EDA for Feature Views: Automates EDA tasks such as profiling feature views, checking for data leakage, and generating comprehensive EDA reports.
  • Integration with Hopsworks: Seamlessly integrates with Hopsworks Feature Stores to enhance machine learning model building workflows.
  • Use Case: Before training a machine learning model, run the hops-eda skill to analyze a feature view's training data, identify potential data issues, and gain insights into feature characteristics.

Quick Start

Run the hops-eda skill with a feature view 'example-fv', by specifying the feature view name and optionally a version and time range:

python3 ~/scripts/fv-eda.py example-fv

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: hops-eda
Download link: https://github.com/logicalclocks/hopsworks-api/archive/main.zip#hops-eda

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