AutoGluon-Tabular can save time by automating time-consuming manual steps—handling missing data, manual feature transformations, data splitting, model selection, algorithm selection, hyperparameter selection and tuning, ensembling multiple models, and repeating the process when data changes. Unlike...
Algorithm - Fulfilled on Amazon SageMaker
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...
Algorithm - Fulfilled on Amazon SageMaker
This algorithm uses the scikit learn framework to predict hospital readmissions from EMR data, DRGs and billing data. The model predicts the probability that a patient will return to the hospital within a certain time period(30 days) or not. The predicted output is the % chance that the patient...
Algorithm - Fulfilled on Amazon SageMaker
Gradient Boosting Machine (for Regression and Classification) is a forward learning ensemble method. The guiding heuristic is that good predictive results can be obtained through increasingly refined approximations. H2O’s GBM sequentially builds regression trees on all the features of the dataset...
Algorithm - Fulfilled on Amazon SageMaker
Accu.Tuning is a data analysis tool that automatically finds the optimal machine learning model. Without deep knowledge of data science, you can train and tune various algorithms and hyperparameters with this product. The Exploratory Data Analysis(EDA) visualizations show what the data can tell us...
Linux/Unix, Amazon Linux N/A - 64-bit Amazon Machine Image (AMI)
Passenger Traffic Forecasting generates 30 weeks of forward forecast of passengers using historical data. This solution will help businesses such as airlines, railways, bus and ferry operators to better assess the number of incoming passengers and provide them a better travel experience. It uses...
Model Package - Fulfilled on Amazon SageMaker
This solution predicts the Loss due to default of the borrowers who are most likely to default on their Consumer loans in Peer-to-Peer lending. During the training stage, the solution understands the dataset, handles missing data and class imbalance, conducts feature interaction on the training...
Algorithm - Fulfilled on Amazon SageMaker
The solution helps users interpret complex black-box machine learning models by bringing out the important features which the model uses for predictions. It also identifies the features and their effect on the predictions, for each of the predictions. The solution supports 40+ tree based...
Algorithm - Fulfilled on Amazon SageMaker
Absenteeism at work forecasting generates 30 days of forward forecast of employee absenteeism using historical data. This solution helps businesses to optimize their workforce and related infrastructure in an efficient manner. It uses ensemble ML algorithms with automatic model selection...
Model Package - Fulfilled on Amazon SageMaker
Product Demand Forecasting generates 36 months of forward forecast of the demand using historical data. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs...
Model Package - Fulfilled on Amazon SageMaker
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