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AbDesign error while evaluating.
Hi, thanks for excellent work! I encounted an error when running code 'python design_testset.py', how can I fix it?
Traceback (most recent call last):
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/nanops.py", line 1680, in _ensure_numeric
x = x.astype(np.complex128)
ValueError: complex() arg is a malformed string
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/nanops.py", line 1683, in _ensure_numeric
x = x.astype(np.float64)
ValueError: could not convert string to float: 'GYYIFDIGGNTITGSGTSGLDVAELGDGSSVYYYGLDVDLVVYGMDVVVGTGMDVDLAGGGGLDVSGYTYDLAMDYSGYTYDLAMDYEGTGGYTGAAMDYGPLEYTGAGAYYYNWFDISGYTYDLAMDYSYYTRDLAMDYLWWLSGYFDIDLAGYGGLDVEGTYGYAGAAFDYDIGWRFDYEGYYGYGGAAFDYAELGDGSSVYYYGLDVDIGWRFDY'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "design_testset.py", line 4, in <module>
main()
File "/home/disk02/ab_design/zrx/ab_opt-main/AbDesign/diffab/tools/runner/design_for_testset.py", line 59, in main
eval_on_dataset(config, dataset, model, logger, save_dir)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/home/disk02/ab_design/zrx/ab_opt-main/AbDesign/diffab/utils/train.py", line 364, in eval_on_dataset
return dict(df.mean())
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/generic.py", line 11556, in mean
return NDFrame.mean(self, axis, skipna, numeric_only, **kwargs)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/generic.py", line 11201, in mean
return self._stat_function(
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/generic.py", line 11158, in _stat_function
return self._reduce(
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/frame.py", line 10519, in _reduce
res = df._mgr.reduce(blk_func)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/internals/managers.py", line 1534, in reduce
nbs = blk.reduce(func)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/internals/blocks.py", line 339, in reduce
result = func(self.values)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/frame.py", line 10482, in blk_func
return op(values, axis=axis, skipna=skipna, **kwds)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/nanops.py", line 96, in _f
return f(*args, **kwargs)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/nanops.py", line 158, in f
result = alt(values, axis=axis, skipna=skipna, **kwds)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/nanops.py", line 421, in new_func
result = func(values, axis=axis, skipna=skipna, mask=mask, **kwargs)
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/nanops.py", line 727, in nanmean
the_sum = _ensure_numeric(values.sum(axis, dtype=dtype_sum))
File "/home/disk02/ab_design/miniconda3/envs/diffab/lib/python3.8/site-packages/pandas/core/nanops.py", line 1686, in _ensure_numeric
raise TypeError(f"Could not convert {x} to numeric") from err
TypeError: Could not convert ['GYYIFDIGGNTITGSGTSGLDVAELGDGSSVYYYGLDVDLVVYGMDVVVGTGMDVDLAGGGGLDVSGYTYDLAMDYSGYTYDLAMDYEGTGGYTGAAMDYGPLEYTGAGAYYYNWFDISGYTYDLAMDYSYYTRDLAMDYLWWLSGYFDIDLAGYGGLDVEGTYGYAGAAFDYDIGWRFDYEGYYGYGGAAFDYAELGDGSSVYYYGLDVDIGWRFDY'
'EGDAMDYGSTGDRHYYYYGMDVTRGRGLYDYVWGSKDYDLGPYGMDVHRGNPFDYDLGEAGGMDVSDYYGDYGFAYSDYYGDYGFAYKSYYVDYVDAMDYAVVGIVVVPAAGRRAFDISDYYGDYGFAYSDYYGDYGFAYAGWVRGAFDIDLGEAGGMDVKSYYVDYVDAMDYHRGNPFDYKSYYVDYVDAMDYTRGRGLYDYVWGSKDYHRGNPFDY'
'??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????'
'??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????'] to numeric