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.
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Propensity-Planning to Buy Car-Truck
Latest Version:
V 1.0
Propensity model that determines the probability that a consumer is Planning to Buy a Car or Truck
Product Overview
This Pandemic Propensity Model determines the probability that a US adult is Planning to Buy a Car or Truck. Lift over Random 1.68 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 24,000 US adults surveyed between April to June 2020 from Prosper's US Monthly Consumer survey. Survey data was collected during the Covid-19 Coronavirus Pandemic, capturing behavior changes and preferences during the National Emergency. The survey is anonymous. Zero PII. CCPA and HIPAA Compliant.
Key Data
Version
Type
Model Package
Highlights
Enhances digital and offline targeting by identifying an individual’s probability to engage in a specific behavior. Model is based on data from over 24.000 US adults surveyed between April to July 2020 from Prosper's US Monthly Consumer survey.
100% Privacy Compliant Models. No PII Used.
Lift over Random 1.68
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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$0.28/hr
running on ml.m4.xlarge
Model Batch Transform$350.00/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 | $0.28 | |
ml.m5.4xlarge | $0.28 | |
ml.m4.16xlarge | $0.28 | |
ml.p3.16xlarge | $0.28 | |
ml.m5.2xlarge | $0.28 | |
ml.m4.2xlarge | $0.28 | |
ml.c5.2xlarge | $0.28 | |
ml.p3.2xlarge | $0.28 | |
ml.c4.2xlarge | $0.28 | |
ml.m4.10xlarge | $0.28 | |
ml.c4.xlarge | $0.28 | |
ml.m5.24xlarge | $0.28 | |
ml.c5.xlarge | $0.28 | |
ml.p2.xlarge | $0.28 | |
ml.m5.12xlarge | $0.28 | |
ml.p2.16xlarge | $0.28 | |
ml.c4.4xlarge | $0.28 | |
ml.c5.9xlarge | $0.28 | |
ml.m5.xlarge | $0.28 | |
ml.m4.xlarge Vendor Recommended | $0.28 | |
ml.c5.4xlarge | $0.28 | |
ml.p3.8xlarge | $0.28 | |
ml.c4.8xlarge | $0.28 | |
ml.m5.large | $0.28 | |
ml.p2.8xlarge | $0.28 | |
ml.c5.18xlarge | $0.28 |
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
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