AUTONOMOUS HYBRID ANALYTICS MODELING PLATFORM
In some embodiments, a selection of one or more data tags of a dataset can be received via a graphical user interface (GUI). The data tags can correspond to data in the dataset, and the data can include training data and testing data. A selection of one or more analytics model building techniques ca...
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Zusammenfassung: | In some embodiments, a selection of one or more data tags of a dataset can be received via a graphical user interface (GUI). The data tags can correspond to data in the dataset, and the data can include training data and testing data. A selection of one or more analytics model building techniques can also be received via the GUI. Then, a data processor can build plurality of analytics models usingthe training data. Each of the one or more selected analytics model building techniques can be used to build at least one analytics model. After building the plurality of analytics models, the data processor can calculate a performance of each of the plurality of analytics models using the testing data. Based on the calculated performance of each of the plurality of analytics models, the GUI candisplay a comparison of each of the plurality of analytics models.
在一些实施方案中,可经由图形用户界面(GUI)接收对数据集的一个或多个数据标签的选择。数据标签可对应于数据集中的数据,并且数据可包括训练数据和测试数据。还可经由GUI接收对一种或多种分析模型构建技术的选择。然后,数据处理器可使用训练数据构建多个分析模型。一种或多种所选择的分析模型构建技术中的每一种分析模型构建技术可用 |
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