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Systems and Methods for Training and Employing Machine Learning Models for Unique String Generation and Prediction
Systems and Methods for Training and Employing Machine Learning Models for Unique String Generation and Prediction
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机译:训练和采用机器学习模型以实现独特的字符串生成和预测的系统和方法
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摘要
Systems and methods for generating strings based on a seed string are disclosed. Machine learning models are trained using domain-specific training data. Random walk models are derived from the trained machine learning models. A seed string is input into each of the random walk models, and each of the random walk models iteratively generate one or more next characters for the seed string to generate at least one term from each of the random walk models. A predicted class for the at least one term generated by each of the random walk models can be determined, and a ranked order for the at least one term generated by each of the random walk models with the predicted classes can be output to a graphical user interface.
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