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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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mAdvisor Automl Free trial

Latest Version:
V1.0
mAdvisor is an AutoML platform that translates data from enterprise systems into meaningful insights & predictions.

    Product Overview

    mAdvisor is an AutoML platform that translates data from enterprise systems into meaningful insights & predictions in the form of narratives without any manual intervention. AutoML gives users the power of cognitive technologies like machine learning, machine reasoning, deep learning, natural language generation, natural language processing and expert rules systems with limited knowledge of AI/ML, thereby enabling enterprises to identify revenue streams, enhance customer experience and productivity. This solution is designed for application and machine experts, so that machine learning models can be created with no help from a data scientist. The solution includes the following features: 1. Ability to comprehend and monetize Big Data  ​ 2. Rapid time to insights ​ 3. No dependency on data scientists & analysts to create briefs​ 4. Rapid development of predictive apps ​ 5. Expandable and Scalable to the adoption of new use cases​

    Key Data

    Type
    Algorithm
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Automated Pattern Discovery

    • Automated Prediction

    • Automated Insights

    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.p3.16xlarge

    Model Realtime Inference$0.20/hr

    running on ml.p3.16xlarge

    Model Batch Transform$0.20/hr

    running on ml.p3.16xlarge

    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$28.152/host/hr

    running on ml.p3.16xlarge

    SageMaker Realtime Inference$28.152/host/hr

    running on ml.p3.16xlarge

    SageMaker Batch Transform$28.152/host/hr

    running on ml.p3.16xlarge

    About Free trial

    Try this product for 30 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.m4.4xlarge
    $0.20
    ml.m5.4xlarge
    $0.20
    ml.m4.16xlarge
    $0.20
    ml.m5.2xlarge
    $0.20
    ml.p3.16xlarge
    Vendor Recommended
    $0.20
    ml.m4.2xlarge
    $0.20
    ml.c5.2xlarge
    $0.20
    ml.p3.2xlarge
    $0.20
    ml.c4.2xlarge
    $0.20
    ml.m4.10xlarge
    $0.20
    ml.c4.xlarge
    $0.20
    ml.m5.24xlarge
    $0.20
    ml.c5.xlarge
    $0.20
    ml.p2.xlarge
    $0.20
    ml.m5.12xlarge
    $0.20
    ml.p2.16xlarge
    $0.20
    ml.c4.4xlarge
    $0.20
    ml.m5.xlarge
    $0.20
    ml.c5.9xlarge
    $0.20
    ml.m4.xlarge
    $0.20
    ml.c5.4xlarge
    $0.20
    ml.p3.8xlarge
    $0.20
    ml.m5.large
    $0.20
    ml.c4.8xlarge
    $0.20
    ml.p2.8xlarge
    $0.20
    ml.c5.18xlarge
    $0.20

    Usage Information

    Training

    Training a model requires a training dataset as input.

    Here is the sample input dataset https://github.com/Marlabs1/mAdvisor-AutoML-Sagemaker/blob/main/AutoML/Example%20Notebook/data/train/titanic%20train.csv

    This accepts text/csv file formarts.

    • Channel name as : "train"
    • Target : “Provide target name for training dataset here”

    Channel specification

    Fields marked with * are required

    train

    *
    Input modes: File
    Content types: text/csv
    Compression types: None

    Hyperparameters

    Fields marked with * are required

    Target

    *
    Target variable name
    Type: Categorical
    Tunable: No

    Model input and output details

    Input

    Summary

    This model can analyse the datasets stored in Amazon S3 bucket. Specify your dataset S3 bucket location as input data.

    Limitations for input type
    1. Please provide structured data with content type as text/csv 2. Train and Test dataset column names should be the same except Target column.
    Input MIME type
    text/csv
    Sample input data

    Output

    Summary

    The model provides prediction of Target column and response includes Target column with associated level of probaility.

    Output MIME type
    text/csv
    Sample output data

    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 More

    Customer Reviews

    Anabella T.
    Personalized Financial Planning
    Sep 3, 2024
    What do you like best about the product?mAdvisor provides personalized financial planning tailored to
    individual needs and uses AI-powered investment advice for informed decision-making.What do you
    dislike about the product?mAdvisor have fees and charges associated with its services. In... Read more
    ... Read more
    View all