max/model-training
1
0
Fork 0
mirror of https://git.gfz-potsdam.de/naaice/model-training.git synced 2025-12-15 19:58:22 +01:00
Code Issues Packages Projects Releases Wiki Activity

further experiments

Browse Source
This commit is contained in:
Hannes Signer 2025-01-24 16:28:56 +01:00
parent 67b1f23fa3
commit 3eb46f6c26
2 changed files with 604 additions and 99 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

701
POET_Training.ipynb
View File

File diff suppressed because one or more lines are too long

2
preprocessing.py
View File

@ -174,7 +174,7 @@ def preprocessing_training(df_design, df_targets, func_dict_in, func_dict_out, s
elif scaling == 'global': elif scaling == 'global':
scaler_X.fit(pd.concat([X_train.iloc[:, X_train.columns != "Class"], y_train.iloc[:, y_train.columns != "Class"]], axis=0)) scaler_X.fit(pd.concat([X_train.iloc[:, X_train.columns != "Class"], y_train.iloc[:, y_train.columns != "Class"]], axis=0))
scaler_y = clone(scaler_X) scaler_y = scaler_X
X_train = pd.concat([scaler_X.transform(X_train.loc[:, X_train.columns != "Class"]), X_train.loc[:, "Class"]], axis=1) X_train = pd.concat([scaler_X.transform(X_train.loc[:, X_train.columns != "Class"]), X_train.loc[:, "Class"]], axis=1)
X_test = pd.concat([scaler_X.transform(X_test.loc[:, X_test.columns != "Class"]), X_test.loc[:, "Class"]], axis=1) X_test = pd.concat([scaler_X.transform(X_test.loc[:, X_test.columns != "Class"]), X_test.loc[:, "Class"]], axis=1)