A non-api member recommendation method based on heuristics and neural networks
A neural network, recommendation method technology, applied in the field of non-API member recommendation, can solve problems such as insufficient sample information and dependence
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[0044] This embodiment elaborates in detail the methods and effects of the non-API member recommendation method based on heuristics and neural networks implemented under 9 open source projects.
[0045] Under the hardware environment shown in Table 1, the open source software shown in Table 2 is trained and predicted.
[0046] Table 1: Hardware environment configuration information table
[0047]
[0048]
[0049] Table 2: Basic information table of open source software
[0050]
[0051] Step A: Extract the non-API members accessed on the right side of the assignment statement and their context information from the open source software shown in Table 2, and use the 9-fold cross-validation method to generate the data training set and test set.
[0052] Among them, 9-fold cross-validation refers to sequentially using one of the nine items as test data and the other eight as training data for cross-validation; for the i-th item G i When performing cross-validation, G ...
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