ting96haha

> Thanks @ting96haha ! > > Can you check what is the output that you get when you run the following command? `ersilia example molecular-weight -n 10 -f myexample.csv` >...

> Hi @ting96haha ! > > Thanks for checking all this. It is due to the input adapter format for the model, I'll need to check it and make the...

Hi @GemmaTuron, thanks for the guide. May you assign me to test some models to contribute to the project? Many thanks

> Hi @ting96haha I think I did on Slack but please can you confirm? I am at a loss with the different github handles and slack names ;) Yes, you...

Noted with thanks!

Hi @GemmaTuron This is my approach to building a binary classification ML model. You may look at my entire source code from my created Google Colab notebook from this link:...

Therefore, from the extracted information, I understood that my task is to build an ML model which can classify the given CYP2D6 Substrate to be an active or inactive substrate...

The analysis of the dataset is provided as follows: The number of active and inactive molecules for each dataset category are provided as follows: Train dataset: - Total: 467 -...

An example of a drawing of the active molecule is shown below:  An example of a drawing of the inactive molecule is shown below: 

I did not need to transform the dataset molecules to the computer in a format that the computer can understand (numerical vectors or images) through an alternative method since the...