TAKE THE HARD WORK OUT OF FEATURE DISCOVERY

Orion is a Machine Learning as a Service tool that automates the process of feature engineering.

Feature Discovery In a Fraction of The time

Feature selection is often the most time consuming part of developing a predictive model. With Orion Automated Feature Discovery, robust, predictive features can be discovered in under an hour.

Contact us for a demo of Orion's Automated Feature Discovery capabilities performed on your own dataset.

How Orion Feature Discovery Works



Ingest Data
Generate Predictive Model Trained on Data
Test Model for Predictive Accuracy
Generate Ranked List of Features & Summary Analysis

WHAT DOES ORION FEATURE DISCOVERY DO?

Orion has built in functionality that helps you rapidly uncover the most predictive features in your dataset and avoid common feature selection pitfalls.

Ensemble Modeling

Orion simultaneously tests hundreds of models with different feature specifications and identifies important features based on aggregated model fit.

ROBUST TO OVERFITTING

Orion uses multilayered cross-validating techniques when training models. All fit statistics are generated on separate sets of 'testing' data which have not been used to generate the original model.

CLEANS DIRTY DATA

Orion's data-cleaning algorithms can deal with most common data problems, including: missing data, mis-coded feature types, differing feature magnitudes and messy string or text variables.

IDENTIFIES INTERDEPENDENT FEATURES

By training hundreds or even thousands of models we can find the models that work best - not just with individual features, but with multiple sets of interdependent features that work better together than separately in predicting outcomes.

WHY USE ORION AUTOMATED FEATURE DISCOVERY?

Automated Feature Discovery enables you to bring predictive models to market faster, and with more confidence.

UNCOVER MISSED FEATURES

Obtain robust, comprehensive measures of feature importance that could be missed during the manual feature-selection process.

SAVE TIME

We accelerate the feature-selection process by testing hundreds of models with different feature specifications, and basing feature importance on aggregated model fit.

AVOID COMMON PITFALS

We use multilayered cross-validation techniques when training models: fit statistics (accuracy, etc) are generated on separate sets of 'testing' data independent of the original model.

DOMAIN KNOWLEDGE AGNOSTIC

Orion's automated suite of feature-engineering algorithms does not rely on specific domain knowledge to work.

OUR CUSTOMERS

CONTACT US TO SEE HOW ORION CAN SOLVE YOUR FEATURE SELECTION PROBLEM

Contact us to schedule a free demo of Orion's Automated Feature Discovery capabilities performed on a set of your own data.

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