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Instead, responsibility for data is split between all the dozens of different offices that handle the agency's different reporting regimes.
Figure 1 shows how the data is split and loaded onto the targeted GPU. Figure 1 An example of how data is split and loaded onto the GPU.
All data is split into two non-overlapping sets: the training set and the test set.
A large input data is split into chunks of a specified size.
Input data is split into multiple pieces which are managed by a master process.
Generate meta-level training data: the validation data is split across P mappers.
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Parent data were split into lower and higher BAP groups.
The data were split randomly into train and test subsets.
The data are split into two sets: a training data set and a validating data set.
Data are split into blocks and stored randomly across the data nodes.
The available Pfizer data were split into two categories: IC50 and percent inhibition data.
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