Vigneshwar Pesaru

Thanks, Team @Pierre Bonami and @ David Torres Sanchez these are really helpful. Appreciate your help. 

Just to add to my above comments, I was thinking to do warm start my problem by providing a few known solutions to the nn model. But I am thinking what exactly the below line is doing in general.? ...

Hi David Torres Sanchez, Pierre Bonami, Here is my H5 model file.  https://www.dropbox.com/scl/fi/52nxrfbptpah0nyhub4cw/model_actual.h5?rlkey=w9luj2m5hfrtq8dgi3vqkgu9t&dl=0 Let me know if you can a...

Hi Pierre,  Thanks for your response.  I am not sure how to upload the .h5 file here. Kindly can you share your email-id or any link to share the file.   Thanks! Vignesh  

Here is the screenshot of my nn model-9, like-wise as you rightly pointed I have got 10 such models every model is the same with 46 feature variables and one output variable.  Also Here is the log...

Hi Pierre, Thanks for taking my question.  To answer your questions: 1. I have got 1 neural network i.e. one h5 file. 2. Basically I will have to run this NN model n times(per say in this case 10 t...

Hi David, Any idea about my above query.? Thanks! Vignesh  

Hi David,  Thanks for your reply.  In your updated code, it looks like you're optimizing the output_vars.sum() with output_vars being considered as 10 diff ML-models outputs and finally optimizing ...

Just to add to my above comment, looks like the "with gp. model() as m" is performing the optimization separately  instead I need to optimize the 10 different models at a time.  Lets say : I have t...

Hi David,    Thanks for your response. Basically I am looking for AnnModel lib function to leverage for my problem. The code you mentioned top is using the general ml. Kindly can you specify if the...