The Fourth Paradigm (beijing) Tech Co Ltd

Wenyuan Dai

Yang Bai

Yiming Liu

Qiang Yang

Yuqiang Chen

Guangchuan Shi

A data exchange method, a data exchange device, and a computing device for data exchange between a provider and a recipient for machine learning, the method including: (a) receiving a machine learning model from the provider (S); (b) respectively transforming output data samples into corresponding output eigenvectors by utilizing the machine learning model from the provider (S); (c) after transformation, combining the output eigenvectors with corresponding identifiers to form exchange samples (S). According to the data exchange method, original data is transformed into vector information which cannot be restored but can be applied to machine learning, for use in exchange, so as to, on one hand, enable efficient use of data for machine learning and, on the other hand, prevent unauthorized use, sale or disclosure of the original data.

Data exchange method, data exchange device and computing device

A method and device for presenting a prediction model, and a method and device for adjusting a prediction model. The method for presenting a prediction model includes: obtaining at least one prediction result of a prediction model for at least one prediction sample; obtaining at least one decision-making tree training sample for training a decision-making tree model according to the at least one prediction sample and the at least one prediction result, the decision-making tree model being used for fitting the prediction model; training the decision-making tree model by using at least one decision-making tree training sample; and visually presenting the trained decision-making tree model. By means of the method, a prediction model hard to understand can be approximated to a decision-making tree model, and the approximated decision-making tree model is presented, so that a user better understands the prediction model according to the presented decision-making tree model.

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Beijing, China

Wenyuan Dai