Note:This is not one convertor for all frameworks, but a collection of different converters.Because github is an open source platform, I hope we can help each other here, gather everyone's strength. Because of these different frameworks, the awesome convertors of deep learning models for differ...
Generalized linear models Linear regression, logistic regression scikit-learn 0.18 Feature engineering Sparse vectorization, dense vectorization, categorical processing scikit-learn 0.18 Pipeline models Sequentially chained models scikit-learn 0.18 mxnet/tools/mxnet-to-coreml Convert MXNet models into Apple Core...
H20is an open-source, fast, scalable, and distributed machine learning framework, plus the assortment of algorithms equipped on the framework. It supports smarter applications such as deep learning, gradient boosting, random forests, generalized linear modeling (i.e. logistic regression, Elastic Net)...
Generalized linear models Linear regression, logistic regression scikit-learn 0.18 Feature engineering Sparse vectorization, dense vectorization, categorical processing scikit-learn 0.18 Pipeline models Sequentially chained models scikit-learn 0.18 mxnet/tools/mxnet-to-coreml Convert MXNet models into Apple Core...