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METHOD AND APPARATUS FOR ANALYZING COVERAGE, BIAS, AND MODEL EXPLANATIONS IN LARGE DIMENSIONAL MODELING DATA
METHOD AND APPARATUS FOR ANALYZING COVERAGE, BIAS, AND MODEL EXPLANATIONS IN LARGE DIMENSIONAL MODELING DATA
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机译:大型建模数据中的覆盖率,偏差和模型解释的分析方法和装置
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摘要
A system and method for analyzing coverage, bias and model explanations in large dimensional modeling data includes discretizing three or more variables of a dataset to generate a discretized phase space represented as a grid of a plurality of cells, the dataset comprising a plurality of records, each record of the plurality of records having a value and a unique identifier (ID). A grid transformation is applied to each record in the dataset to assign each record to a cell of the plurality of cells of the grid according to the grid transformation. A grid index is generated to reference each cell using a discretized feature vector. A grid storage for storing the records assigned to each cell of the grid is then created. The grid storage using the ID of each record as a reference to each record and the discretized feature vector as a key to each cell.
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