Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Propensity US: Amazon Grocery Shopper
Latest Version:
V 1.0
Propensity model that determines the probability that a consumer is Amazon Grocery Shopper
Product Overview
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer shops at a specific retailer. Based on a set of basic demographics, the model identifies individuals who are likely to shop at that retailer. The model was trained with data from Prosper's large Media Behaviors & Influence (MBI) study (N=16,619).
Key Data
Version
Type
Model Package
Highlights
Enhances digital and offline targeting by identifying individuals likely to shop at a specific retailer.
100% Privacy Compliant Models. No PII Used.
Based on unique large sample consumer survey data (N=16,619).
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$1.00/hr
running on ml.m4.xlarge
Model Batch Transform$500.00/hr
running on ml.m4.xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.24/host/hr
running on ml.m4.xlarge
SageMaker Batch Transform$0.24/host/hr
running on ml.m4.xlarge
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
|---|---|---|
ml.m4.4xlarge | $1.00 | |
ml.m5.4xlarge | $1.00 | |
ml.m4.16xlarge | $1.00 | |
ml.p3.16xlarge | $1.00 | |
ml.m5.2xlarge | $1.00 | |
ml.m4.2xlarge | $1.00 | |
ml.c5.2xlarge | $1.00 | |
ml.p3.2xlarge | $1.00 | |
ml.c4.2xlarge | $1.00 | |
ml.m4.10xlarge | $1.00 | |
ml.c4.xlarge | $1.00 | |
ml.m5.24xlarge | $1.00 | |
ml.c5.xlarge | $1.00 | |
ml.p2.xlarge | $1.00 | |
ml.m5.12xlarge | $1.00 | |
ml.p2.16xlarge | $1.00 | |
ml.c4.4xlarge | $1.00 | |
ml.c5.9xlarge | $1.00 | |
ml.m5.xlarge | $1.00 | |
ml.m4.xlarge Vendor Recommended | $1.00 | |
ml.c5.4xlarge | $1.00 | |
ml.p3.8xlarge | $1.00 | |
ml.c4.8xlarge | $1.00 | |
ml.m5.large | $1.00 | |
ml.p2.8xlarge | $1.00 | |
ml.c5.18xlarge | $1.00 |
Usage Information
Fulfillment Methods
Amazon SageMaker
For complete usage instructions, sample data, and sample code, go to: https://github.com/goprosper/prosper-sagemaker-basic-geo.git
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
AWS Infrastructure
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Learn MoreRefund Policy
No refunds.
Customer Reviews
Information Technology and Services
Walmart sells everything that peoples ned
Jul 30, 2022
What do you like best about the product?One stop solution for everything.no need to get out and buy
groceryWhat do you dislike about the product?We cannot see actual quality of productsWhat problems
is the product solving and how is that benefiting you?Time Saving and delivery at door step
groceryWhat do you dislike about the product?We cannot see actual quality of productsWhat problems
is the product solving and how is that benefiting you?Time Saving and delivery at door step
Eduard G.
Logistics Manager
May 24, 2022
What do you like best about the product?Not a huge fan of this software i dont really knowWhat do you
dislike about the product?lack of quality goods and thatws about it reallyWhat problems is the product
solving and how is that benefiting you?none really im a pretty good problem solverRecom... Read more
dislike about the product?lack of quality goods and thatws about it reallyWhat problems is the product
solving and how is that benefiting you?none really im a pretty good problem solverRecom... Read more
Lakeysha R.
View allVery Convenient
Apr 26, 2022
What do you like best about the product?I love the convenience of the service because it saves time
and is helpful.What do you dislike about the product?The delays that we have as customers and
shoppers.What problems is the product solving and how is that benefiting you?Time-saving, flexibility
and is helpful.What do you dislike about the product?The delays that we have as customers and
shoppers.What problems is the product solving and how is that benefiting you?Time-saving, flexibility
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