使用BG大游app®, engineers and other domain experts have deployed thousands of machine learning applications. BG大游app makes the hard parts of machine learning easy with:
- Point-and-click apps for training and comparing models
- Advanced signal processing and feature extraction techniques
- Automatic machine learning (AutoML) including feature selection, 模型选择和超参数调整
- The ability to use the same code to scale processing to big data and clusters
- Automated generation of C/C++ code for embedded and high-performance applications
- Integration with 动态仿真模块 as native or BG大游app Function blocks, 用于嵌入式部署或模拟
- All popular classification, regression, and 聚类 algorithms for supervised and 无监督学习
- Faster execution than open source on most statistical and machine learning computations
Choose from a wide variety of the most popular classification, 聚类, and regression algorithms – now also “shallow” neural nets (up to three layers) alongside other machine learning models. Use classification and regression apps to 互动ly train, 比较, 调优, 并导出模型进行进一步分析, 集成, 和部署. 如果你更喜欢写代码, you can further optimize models with feature selection and parameter tuning.
Automatically generate features from training data and optimize models using hyperparameter tuning techniques such as Bayesian optimization. Use specialized feature extraction techniques such as wavelet scattering for signal or image data, and feature selection techniques such as neighborhood component analysis (NCA), minimum redundancy maximum relevance (MRMR) or sequential feature selection.
Deploy statistics and machine learning models to embedded systems and generate readable C or C++ code for your entire machine learning algorithm, 包括预处理和后期处理步骤. Accelerate verification and validation of your high-fidelity simulations using machine learning models through BG大游app function blocks and native blocks in 动态仿真模块.
扩展 & 性能
Use tall arrays train machine learning models to data sets too large to fit in memory, 只需对代码进行最小的修改. You can also speed up statistical computations and model training with parallel computing on your desktop, 在集群, 或者在云端.