fix typo
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@ -151,7 +151,7 @@ The iterative process continues until the predictor accuracy meets user's requir
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Here is an example for adaptive data sampling:
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```python
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from nn_meter.builder.utils import merge_prev_info
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from nn_meter.builder.utils import merge_info
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finegrained_sample_num = 10
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@ -161,7 +161,7 @@ for i in range(1, 5):
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sampling_mode = 'finegrained', configs=error_configs, mark=f'finegrained{i}')
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# merge finegrained data with previous data and build new regression model
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kernel_data = merge_prev_info(new_info=new_kernel_data, prev_info=kernel_data)
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kernel_data = merge_info(new_info=new_kernel_data, prev_info=kernel_data)
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_, acc10, error_configs = build_predictor_by_data(kernel_type,
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kernel_data,
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backend,
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