Sold by: aequumAI LLC
Deployed on AWS
Impute race/ethnicity from names + NY addresses; returns privacy-aware tract/ZCTA summaries by default, per-row weights on request. Runs in your account.
Overview
RANDE NY estimates the most likely race/ethnicity of individuals from name and New York address using a published LSTM + geography model refined by 5-fold gradient-boosted soft-voting. Deploy it as a SageMaker real-time endpoint or Batch Transform in your own AWS account - your input records never leave your account and the vendor never sees your data. Default output is privacy-aware aggregate summaries by census tract and ZCTA (4 classes - White/Black/Hispanic/Asian - plus an explicit "unclassified" residual, with shares); per-row predictions with calibrated probability weights are available on request via a custom-attributes header. Method reproduces peer-reviewed accuracy that exceeds BISG/BIFSG with lower false-positive bias.
Highlights
- Runs in the buyer's account (real-time endpoint or Batch Transform); inputs/PII never egress.
- Aggregate-by-geography output by default (tract/ZCTA shares) to minimize per-record exposure; per-row weights via mode=rows.
- Four reliable classes plus an explicit "unclassified" residual (Native/Other not reliably predictable); New York State scope; documented limitations.
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Dimensions summary
This listing is free to use, so you pay only for the AWS compute time that runs the model. Pricing is organized by AWS instance size and inference mode. Batch mode covers three instance sizes: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge. Real-time mode covers ml.m5.xlarge, ml.m5.2xlarge, and ml.c5.2xlarge. All options bill per host hour. Larger instances give more compute per hour. Choose batch for scheduled bulk scoring or real-time for on-demand requests. Your total depends on which instance you pick and how many hours you run it.
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One host hour is one hour that your chosen AWS instance runs the model. Charges accrue only while the instance is active. Fully stopped instances stop the software meter. You still pay AWS separately for any storage or resources that remain provisioned while stopped.
Both modes bill per host hour. Batch mode runs your data in scheduled bulk jobs, so you pay for the hours the job takes, then stop. Real-time mode keeps an instance running to answer on-demand requests, so hours accrue while the endpoint stays live.
Each instance size bills at its own per-host-hour rate. Larger sizes such as ml.m5.4xlarge give more compute per hour and can finish batch jobs in fewer hours. Your total depends on both the hourly rate and how long the job runs.
aequum.ai
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This product is offered at no charge ($0). No fees are collected, so no refunds apply. For questions or support, contact terry@aequum.ai . If a paid version is offered in the future, refund terms will be stated at that time.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Initial release. RANDE NY race/ethnicity imputation for New York State. Input: CSV of name + NY address (fname,mname,lname,housenumber,street,city,state,zip). Output: privacy-preserving aggregate race/ethnicity summaries by census tract and ZCTA (White/Black/Hispanic/Asian + unclassified residual) by default; per-row predictions with probability weights available via the custom-attributes header (mode=rows). Deploy as a real-time endpoint or Batch Transform; data stays in your account. Methodology exceeds BISG/BIFSG accuracy with lower false-positive bias.
Additional details
Inputs
- Summary
CSV with a header row; one individual per row. Columns: fname,mname,lname,housenumber,street,city,state,zip. The name fields drive the name-based model; the New York street address (or at minimum city/ZIP) adds geographic signal. Any extra columns are passed through unchanged in per-row output. Scope: New York State (state = NY). Default response is aggregate tract/ZCTA summaries; set request header X-Amzn-SageMaker-Custom-Attributes: mode=rows for per-row predictions.
- Input MIME type
- text/csv
fname,mname,lname,housenumber,street,city,state,zip
James,A,Smith,100,Main St,Albany,NY,12207
Maria,,Garcia,55,Broadway,New York,NY,10006
Wei,,Chen,28,Mott St,New York,NY,10013
Aisha,M,Johnson,742,Grand Ave,Brooklyn,NY,11238
Robert,L,Williams,15,Elm St,Buffalo,NY,14201
Sofia,,Rodriguez,310,Park Ave,Rochester,NY,14607
David,,Kim,87,Queens Blvd,Queens,NY,11375
Emily,R,Brown,9,Lake St,Syracuse,NY,13202
Mohammed,,Ali,221,State St,Albany,NY,12210
Linda,J,Davis,46,Hudson Ave,Yonkers,NY,10701
fname,mname,lname,housenumber,street,city,state,zip
James,A,Smith,100,Main St,Albany,NY,12207
Maria,,Garcia,55,Broadway,New York,NY,10006
Wei,,Chen,28,Mott St,New York,NY,10013
Aisha,M,Johnson,742,Grand Ave,Brooklyn,NY,11238
Robert,L,Williams,15,Elm St,Buffalo,NY,14201
Sofia,,Rodriguez,310,Park Ave,Rochester,NY,14607
David,,Kim,87,Queens Blvd,Queens,NY,11375
Emily,R,Brown,9,Lake St,Syracuse,NY,13202
Mohammed,,Ali,221,State St,Albany,NY,12210
Linda,J,Davis,46,Hudson Ave,Yonkers,NY,10701
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