Rodney Nascimento da Silva
Rodney Nascimento da Silva
Commas are missing here: all_scores = { 'SVD (best)': svd.evaluate() 'LightFM (best)': evaluate_lightfm(lfm) f'HybridSVD (rank {hsvd.rank})': hsvd.evaluate() } Corrected all_scores = { 'SVD (best)': svd.evaluate(), 'LightFM (best)': evaluate_lightfm(lfm), f'HybridSVD (rank...
Replace : trials_df = (study.trials_dataframe().loc[:, ['value', 'params', 'user_attrs']].rename(columns={'': target_metric})) To: trials_df = study.trials_dataframe().loc[:, ['value', 'params_rank', 'user_attrs_metrics','user_attrs_epochs']].rename(columns={'': target_metric})
@ilkeremrekoc Thanks a lot, I was getting the same error. Now it works!!
Yes, I already used the free version of Gurobi, it tells you when your problem exceeded the limit of variables for the free license. Do you also have a Gurobi...
1.1.15 =============================================================================== CVXPY v1.1.15 =============================================================================== (CVXPY) Nov 12 09:16:43 PM: Your problem has 169 variables, 3 constraints, and 0 parameters. (CVXPY) Nov 12 09:16:43 PM: It is compliant with the...
With N= 12 1.1.15 =============================================================================== CVXPY v1.1.15 =============================================================================== (CVXPY) Nov 12 09:17:33 PM: Your problem has 144 variables, 3 constraints, and 0 parameters. (CVXPY) Nov 12 09:17:33 PM: It is...
Thanks @phschiele !! I do have an academic license, but it doesn't work in docker, that is where I'm working on. I will need to get a Web License Service:...
I'm using Gurobi solver. I received a similar enigmatic error , but I'm not using time limit. My input data is a vector of size 12 and it works fine...
@phschiele Thanks for answering. I believe the problem is on my license,but the error shouldn't be so enigmatic. I remember using Gurobi with big problems without any license and receiving...
I suggested it. We could have Big-M implemented in a function like: cp.decision( linear_function , lower_limit, upper limit) 0 if linear_function = upper_limit It would make the code more readable