Intel® DAAL 2018 Beta is now available as part of the Parallel Studio XE 2018 Beta.
Check the Join the Intel® Parallel Studio XE 2018 Beta program to learn how to join the Beta program, then provide your feedback.
What's New in Intel® DAAL 2018 Beta Update 1:
- API modifications to streamline library usage and enable consistency across functionality
- Extension of the Decision Forest model class by service methods for access to its elements
- Introduced new samples that allow easily integrate library with Spark* MLlib
- Performance improvements in various algorithms on Intel® Xeon® Processor supporting Intel® Advanced Vector Extensions 512 (Intel® AVX-512) (codename Skylake Server)
What's New in Intel® DAAL 2018 Beta:
- API modifications to streamline library usage and enable consistency across functionality
- Classification and Regression Decision Tree including Gini index and Information Gain for classification, Mean Square Error for regression split criteria, and Reduced Error Pruning
- Classification and Regression Decision Forest (Random Forest) including Gini index for classification, Variance for regression split criteria , and generalization error and Mean Decrease Impurity and Mean Decrease Accuracy variable importance measures
- Support for varying learning rate in Stochastic Gradient Descent algorithm for Neural Network Training stage
- Performance improvements in various neural network layers used in topologies such as Alexnet
