hops-fv
OfficialEfficiently manage Hopsworks feature views for seamless data processing.
Authorlogicalclocks
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the complex challenge of managing Hopsworks feature views, simplifying the process of creating, querying, and serving feature data for machine learning projects.
Core Features & Use Cases
- Feature View Management: Build and manage feature views within Hopsworks using Python SDK, including feature selection, transformations, and metadata configuration.
- Data Processing Automation: Automate data transformations and feature engineering tasks, streamlining the data preparation process.
- Use Case: Utilize this Skill to create a feature view that combines user and transaction data, applying transformations for use in training and real-time model serving.
Quick Start
To get started, execute the following command: create_feature_view("my_fv", query=my_query, labels=["is_fraud"], inference_helper_columns=["merchant"]).
Dependency Matrix
Required Modules
hops
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: hops-fv Download link: https://github.com/logicalclocks/hopsworks-api/archive/main.zip#hops-fv Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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