in the future we may want to have different classes and options for them. For now there is this one generator implemented and simply returned here.
(params)
| 2 | import numpy as np |
| 3 | |
| 4 | def decodeGenerator(params): |
| 5 | """ |
| 6 | in the future we may want to have different classes |
| 7 | and options for them. For now there is this one generator |
| 8 | implemented and simply returned here. |
| 9 | """ |
| 10 | return GenericBatchGenerator |
| 11 | |
| 12 | def eval_split(split, dp, model, params, misc, **kwargs): |
| 13 | """ evaluate performance on a given split """ |
no outgoing calls
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