Sold by: H2O.aiÂ
Overview
H2O’s AutoML can be used for automating the machine learning workflow, which includes automatic training and tuning of many models within a user-specified time-limit. Stacked Ensembles – one based on all previously trained models, another one on the best model of each family – will be automatically trained on collections of individual models to produce highly predictive ensemble models which, in most cases, will be the top performing models in the AutoML Leaderboard.
Highlights
- In order for machine learning software to truly be accessible to non-experts, we have designed an easy-to-use interface which automates the process of training a large selection of candidate models. H2O’s AutoML can also be a helpful tool for the advanced user, by providing a simple wrapper function that performs a large number of modeling-related tasks that would typically require many lines of code, and by freeing up their time to focus on other aspects of the data science pipeline tasks such as data-preprocessing, feature engineering and model deployment.
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free 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.
Vendor refund policy
No refund policy is available, since the offering is free to use
Legal
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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
reworked version of automl algorithm. Changes:
- updated hyperparameters to allow for all algorithm parameters to be declared independently.
- better logic for parsing parameters
Additional details
Inputs
- Summary
Can be used for classification or regression problems. Required input: 1 training dataset, hyperparameters defining the type of problem being solved and the target column in the training dataset. Default is classification.
- Input MIME type
- text/csv, s3, csv
See Input Summary
See Input Summary
Resources
Vendor resources
Support
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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Customer reviews
HS
Runs over 2 years old H2O version, debugging is a nightmare.
Reviewed on Mar 03, 2021
Review from a verified AWS customer
This version of h2o.automl is over 2 years old compared to the latest h2o automl available outside AWS. This gives rise to cryptic errors when using a moderate to large size number of models that are hard to debug and with limited support. Product did not work for my ML application, had to find something else.