We want to know error logs. Sincerely, -- Sorry, but we were unable to process your submission to the Proteogenomics Subchallenge 3 Ovarian. Please refer to the challenge instructions which can be found at https://www.synapse.org/#!Synapse:syn8228304/wiki/448381 and to the error message below: submission name: syn11455381 submission ID: 9653786

Created by Yasuhiro Kambara kambarakun
Dear Yasuhiro, Here is your log file: ``` /sc3_model_and_functions.py:21: RuntimeWarning: invalid value encountered in subtract x_numer = x - x.min(axis=0) /sc3_model_and_functions.py:22: RuntimeWarning: invalid value encountered in subtract x_denom = xp.max(xp.hstack([(x.max(axis=0) - x.min(axis=0)), xp.array(xp.repeat(xp.finfo(float).eps, repeats=x.shape[1]).astype(xp.float32))]), axis=0)``` Best, Tom
Sorry for repost... We had debugged previous error and ran. But next, validation error on main lane(ex lane passed). Is this phosphoID error?? -- Sorry, but we were unable to validate your submission to the Proteogenomics Subchallenge 3 Ovarian. Please refer to the challenge instructions which can be found at https://www.synapse.org/#!Synapse:syn8228304/wiki/448381 and to the error message below: submission name: syn11455381 submission ID: 9653817
Thank you for your quick reply!!
Your error log says: /sc3_model_and_functions.py:21: RuntimeWarning: invalid value encountered in subtract x_numer = x - x.min(axis=0) /sc3_model_and_functions.py:22: RuntimeWarning: invalid value encountered in subtract x_denom = xp.max(xp.hstack([(x.max(axis=0) - x.min(axis=0)), xp.array(xp.repeat(xp.finfo(float).eps, repeats=x.shape[1]).astype(xp.float32))]), axis=0) Traceback (most recent call last): File "/sc3_predict.py", line 44, in xp_cna_to_pho = scale_feature_minus_one_to_one(xp.array(df_cna[df_cna.columns & df_pho.columns].iloc[:, 1:].values.T).astype(xp.float32)) File "/sc3_model_and_functions.py", line 27, in scale_feature_minus_one_to_one return (scale_feature_zero_to_one(x) - 0.5) * 2 File "/sc3_model_and_functions.py", line 21, in scale_feature_zero_to_one x_numer = x - x.min(axis=0) File "/usr/local/lib/python3.5/dist-packages/numpy/core/_methods.py", line 29, in _amin return umr_minimum(a, axis, None, out, keepdims) ValueError: zero-size array to reduction operation minimum which has no identity

Our submission passed SC3 ovarian ex lane but failed main lane. page is loading…