From Data Janitor to Model Builder
Yorph helps you automate feature engineering pipelines and create consistent, model-ready datasets. Standardize data transformations and accelerate the path from prototype to production.
What You Can Achieve with Yorph
Purpose-built features that accelerate your data workflows
Cleaning and Joining Data
Automate data preprocessing at scale. Handle missing values, outliers, and joins without repetitive code.
Cohort Retention Analysis
Segment users and analyze retention patterns. Build features for churn prediction models effortlessly.
Customer LTV Features
Generate LTV features for your models. Historical aggregations, behavioral signals, and more.
Feature Engineering
Build feature pipelines that run consistently. Create training and inference features from the same code.
Model-Ready Datasets
Output clean, well-structured datasets ready for training. Consistent schemas and data types.
Faster Deployment
Move from prototype to production faster. Reusable pipelines reduce the gap between experimentation and deployment.
How It Works
Get started in minutes with our intuitive workflow
Connect Raw Data
Connect to your data warehouse, lake, or upload files. Yorph profiles the data automatically.
Build Features
Describe transformations in natural language or code. Create aggregations, encodings, and derived features.
Export to Models
Export model-ready datasets to your ML platform. Rerun pipelines for new training data.
Frequently Asked Questions
How does Yorph help with feature engineering?
Yorph automates repetitive feature engineering tasks through natural language. Describe the features you need, and the agent generates the transformations, aggregations, and encodings automatically.
Can I export data to my ML platform?
Yes, Yorph outputs clean, well-structured datasets in formats compatible with popular ML platforms. You can export to CSV, JSON, or directly to data warehouses.
Does Yorph replace my existing ML tools?
No, Yorph complements your ML stack by handling data preparation and feature engineering. It outputs model-ready datasets that integrate with your existing training pipelines.
Related Use Cases
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