PAMAP2¶
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class
cl_gym.benchmarks.PAMAP2(num_tasks: int = 8, per_task_examples: Optional[int] = None, per_task_joint_examples: Optional[int] = 0, per_task_memory_examples: Optional[int] = 0, shuffle_subjects=True)[source]¶ Bases:
cl_gym.benchmarks.base.BenchmarkPAMAP2 benchmark: activity recognition with at most 8 tasks. This is a time-series benchmark.
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precompute_memory_indices()[source]¶ For each task, (randomly) computes the indices of the subset of data points in the task’s dataset. Then, once load_memory() method is called, uses these indices to return a PyTorch Subset dataset. .. note:: This method will be called only if the benchmark is initiated with per_task_memory_examples.
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