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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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Dense Gradient Boosting Regression Free trial

Latest Version:
0.1
Regression on dense data type using Gradient Boosting Decision Trees

    Product 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.

    Key Data

    Type
    Algorithm
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Users don't have to translate csv, tsv dataset into other formats

    • Leaf-wise tree growth algorithm to achieve lower loss

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    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

    Algorithm Training$0.2/hr

    running on ml.c5.2xlarge

    Model Realtime Inference$0.20/hr

    running on ml.c5.2xlarge

    Model Batch Transform$0.20/hr

    running on ml.c5.2xlarge

    Infrastructure 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 Algorithm Training$0.408/host/hr

    running on ml.c5.2xlarge

    SageMaker Realtime Inference$0.408/host/hr

    running on ml.c5.2xlarge

    SageMaker Batch Transform$0.408/host/hr

    running on ml.c5.2xlarge

    About Free trial

    Try this product for 7 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Algorithm Training

    For algorithm training 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
    Algorithm/hr
    ml.c5.xlarge
    $0.20
    ml.c5.4xlarge
    $0.20
    ml.c5.2xlarge
    Vendor Recommended
    $0.20
    ml.c5.9xlarge
    $0.20
    ml.c5.18xlarge
    $0.20
    ml.c4.xlarge
    $0.20
    ml.c4.2xlarge
    $0.20
    ml.c4.4xlarge
    $0.20
    ml.c4.8xlarge
    $0.20

    Usage Information

    Fulfillment Methods

    Amazon SageMaker

    See example notebook for example usage.

    Channel specification

    Fields marked with * are required

    train

    Input modes: File
    Content types: None
    Compression types: None

    Hyperparameters

    Fields marked with * are required

    max_iter

    Maximum iterations
    Type: Integer
    Tunable: No

    tol

    Tolerance
    Type: Continuous
    Tunable: No

    C

    Inverse of Regularization Strength
    Type: Continuous
    Tunable: No

    fit_intercept

    Fit Intercept
    Type: Categorical
    Tunable: No

    Additional Resources

    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

    Dense Gradient Boosting Regression

    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

    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 More

    Refund Policy

    We do not currently support refunds, but you can cancel at any time. Please contact us at info@rocketml.net

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