You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Recently I'm learning your tool and find that I can't understand what the file alpha_matrix.csv is.
It's used as target data in keras fit.
It's in line 44 of the file evaluation.py wdnn.fit(X_train, alpha_matrix[train], epochs=100, verbose=False, validation_data=[X_val,alpha_matrix[val]])
The text was updated successfully, but these errors were encountered:
alpha_matrix is calculated based on the proportion of resistant isolates for each drug. In helpers.py, the function "masked_multi_weighted_bce()" takes in this alpha_matrix and reconstructs the labels used in the other machine learning models, so ultimately, the WDNN is trained on a similar label matrix as the other models. However, we adjusted our loss function to upweight the sparser class according to the proportion of resistant isolates in each drug, which is why we constructed the alpha_matrix in this way.
Recently I'm learning your tool and find that I can't understand what the file alpha_matrix.csv is.
It's used as target data in keras fit.
It's in line 44 of the file evaluation.py
wdnn.fit(X_train, alpha_matrix[train], epochs=100, verbose=False, validation_data=[X_val,alpha_matrix[val]])
The text was updated successfully, but these errors were encountered: