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Release notes
Neuton Online
Features:
Neuton Neural Network Framework version 3.4
Automated Neuton neural network model architecture creation
Automated hyper parameters configuration
Regression and classification (binary/multi-class) problem solving
Support for large datasets for training
Overfitting prevention
Automated training completion upon reaching optimal model and predictive power
Proprietary automated training and validation sampling
5-fold cross-validation for training
Neuton Auto ML
Intuitive and user friendly workflow for Machine Learning model creation
Automated and manual problem type definition (regression or classification) based on dataset analysis
Automated dataset preparation (preprocessing)
Automated feature engineering
Automated training
Automatic training completion upon one of the following conditions:
Creation of the best possible model without overfitting
Time limit (user input) reached
Number of coefficients limit (user input) reached
Manual stop and resume training capability
Support for CSV datasets
Ability to preview uploaded datasets
Ability to download datasets previously uploaded to the platform
Preloaded experimental datasets
Display of other relevant metrics in addition to the target metric
Model feature importance matrix visualization
Predictions
Downloadable models in binary format with Python script-calculator for local use without Neuton
Embedded models capability
Predictions via Web interface
Predictions via REST API
REST API examples in various programming languages s (С++, C#, Python, Java, Scala)
No limitations on input data size for predictions*
*Excluding the Gravity Plan
Infrastructure
Cloud Based solution
SaaS based solution
GPU training support
Automated and seamless provisioning of infrastructure necessary to perform training and predictions
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