Sold by: RocketML
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Regression on dense data type using Gradient Boosting Decision Trees
Overview
A Gradient Boosted Decision Tree for regression on dense data set like CSV without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.
Highlights
- Users don't have to translate csv, tsv dataset into other formats
- Leaf-wise tree growth algorithm to achieve lower loss
Details
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Delivery method
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Deployed on AWS
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Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.c5.2xlarge Inference (Batch) Recommended | Model inference on the ml.c5.2xlarge instance type, batch mode | $0.20 |
ml.c5.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.c5.2xlarge instance type, real-time mode | $0.20 |
ml.c5.2xlarge Training Recommended | Algorithm training on the ml.c5.2xlarge instance type | $0.20 |
ml.c5.xlarge Inference (Batch) | Model inference on the ml.c5.xlarge instance type, batch mode | $0.20 |
ml.c5.4xlarge Inference (Batch) | Model inference on the ml.c5.4xlarge instance type, batch mode | $0.20 |
ml.c5.9xlarge Inference (Batch) | Model inference on the ml.c5.9xlarge instance type, batch mode | $0.20 |
ml.c5.18xlarge Inference (Batch) | Model inference on the ml.c5.18xlarge instance type, batch mode | $0.20 |
ml.c5.xlarge Inference (Real-Time) | Model inference on the ml.c5.xlarge instance type, real-time mode | $0.20 |
ml.c4.8xlarge Inference (Real-Time) | Model inference on the ml.c4.8xlarge instance type, real-time mode | $0.20 |
ml.c5.4xlarge Inference (Real-Time) | Model inference on the ml.c5.4xlarge instance type, real-time mode | $0.20 |
Dimensions summary
You pay by the host hour, based on which EC2 instance you run and the kind of work you do. Pricing splits into three activities: training the algorithm, batch inference, and real-time inference. Within each activity, you choose a C4 or C5 instance size. Larger sizes (xlarge through 18xlarge) carry higher hourly rates because they provide more compute. Batch inference is offered on five C5 sizes. Real-time inference and training each span both C4 and C5 sizes. You are charged only for the hours you use.
Top-of-mind questions for buyers
One host hour is one hour that a single EC2 instance runs for your chosen activity. Each instance you launch meters its own running time. Larger sizes still count as one host, but at a higher hourly rate. You pay only for the hours the instance actually runs.
Both meter by host hours on the instance you pick. Batch inference runs predictions over a dataset in one pass and is offered on five C5 sizes. Real-time inference serves live predictions on a running endpoint and spans both C4 and C5 sizes. You pick based on your workload type.
Charges apply per host hour while the instance runs. When training completes or a batch job finishes, that instance stops metering software charges. A real-time inference endpoint keeps accruing host hours as long as it stays running. Shut it down to stop software charges.
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Delivery details
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the 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
Gradient Boosting Algorithm for regression on dense datasets
Additional details
Inputs
- Summary
See example notebook for example usage.
See Input Summary
See Input Summary
Support
Vendor support
RocketML offers free support with email response as well as one-on-one office hours with our experienced solution architects. The service helps customers of all sizes and technical abilities to make best use of RocketML products and features. Subscribers and prospecting customers can contact us at the URL below or email support@rocketml.net <www.rocketml.net >
AWS infrastructure support
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.
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