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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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Mphasis HyperGraf Market Basket Analysis

Latest Version:
3.5
The solution identifies items bought together frequently in a retail shopping cart.

    Product Overview

    Market Basket Analysis uncovers associations between articles and identifies the frequent products which are likely to be purchased together by analyzing large volumes of transactional data. Knowing what products people purchase together can be advantageous to an e-commerce website or any retailer store in preparing recommendations and promotions.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Identifies the products purchased together frequently and generates association rules with details of antecedent support, rule support, confidence, lift, conviction and leverage.

    • Anticipate customer purchase behaviour by using statistical affinity calculations to increase cross-selling and make promotions more effective.

    • Mphasis HyperGraf is an omni-channel customer 360 analytics solution. Need customized Deep Learning/NLP solutions? Get in touch!

    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

    Model Realtime Inference$4.00/hr

    running on ml.m5.large

    Model Batch Transform$8.00/hr

    running on ml.m5.large

    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 Realtime Inference$0.115/host/hr

    running on ml.m5.large

    SageMaker Batch Transform$0.115/host/hr

    running on ml.m5.large

    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
    $4.00
    ml.g4dn.4xlarge
    $4.00
    ml.m5.4xlarge
    $4.00
    ml.m4.16xlarge
    $4.00
    ml.m5.2xlarge
    $4.00
    ml.p3.16xlarge
    $4.00
    ml.r5.large
    $4.00
    ml.g4dn.2xlarge
    $4.00
    ml.m4.2xlarge
    $4.00
    ml.r5.12xlarge
    $4.00
    ml.c5.2xlarge
    $4.00
    ml.p3.2xlarge
    $4.00
    ml.r5.xlarge
    $4.00
    ml.c4.2xlarge
    $4.00
    ml.g4dn.12xlarge
    $4.00
    ml.m4.10xlarge
    $4.00
    ml.c4.xlarge
    $4.00
    ml.m5.24xlarge
    $4.00
    ml.c5.xlarge
    $4.00
    ml.g4dn.xlarge
    $4.00
    ml.r5.24xlarge
    $4.00
    ml.p2.xlarge
    $4.00
    ml.m5.12xlarge
    $4.00
    ml.g4dn.16xlarge
    $4.00
    ml.p2.16xlarge
    $4.00
    ml.c4.4xlarge
    $4.00
    ml.r5.4xlarge
    $4.00
    ml.c5.large
    $4.00
    ml.m5.xlarge
    $4.00
    ml.c5.9xlarge
    $4.00
    ml.m4.xlarge
    $4.00
    ml.c5.4xlarge
    $4.00
    ml.p3.8xlarge
    $4.00
    ml.c4.large
    $4.00
    ml.m5.large
    Vendor Recommended
    $4.00
    ml.c4.8xlarge
    $4.00
    ml.p2.8xlarge
    $4.00
    ml.g4dn.8xlarge
    $4.00
    ml.t2.xlarge
    $4.00
    ml.c5.18xlarge
    $4.00
    ml.t2.large
    $4.00
    ml.r5.2xlarge
    $4.00
    ml.t2.medium
    $4.00
    ml.t2.2xlarge
    $4.00

    Usage Information

    Model input and output details

    Input

    Summary
    • Sample input file:
      | InvoiceID | SKUID  | Item       | CUSTOMERID |
      |-----------|--------|------------|------------|
      | 100101    | 989898 | APPLE 1 KG | 501011     |
    • Input file should have following columns:
      • InvoiceID: This is the Invoice Number which is the systematically assigned sequential code unique to each invoice.
      • SKUID: Stock Keeping Unit ID.
      • Item: description of item, a string, name of item along with brand name and color name.
    Input MIME type
    text/csv , text/plain
    Sample input data

    Output

    Summary

    The output file (in csv format) contains the following columns:

    • Item in cart
    • Recommendation

    Generated results are sorted in the decreasing order of item support and can be filtered based on rule support, confidence and lift.

    Output MIME type
    text/csv, text/plain
    Sample output data

    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

    Mphasis HyperGraf Market Basket Analysis

    For any assistance, please reach out at:

    AWS Infrastructure

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    Refund Policy

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