Hey @kaz-Anova ,
Thanks for the great work btw, I am having this dataset where the training data (X_train) has binary labels and 60 features, whereas my test data set( X_test) doesn't have any labels as of now because the task is to predict the labels of the X_test, so I am confused where to keep the the target labels of training data should I keep it along with the X_train or should I separate it from the training data.
The reason why I am confused is there is not attribute in command line saying like train_target=train_label.csv
I tried running the code without the target train labels and with the target train labels attached with the X_train it seems to be running fine in both cases but it doesn't make sense when I run the X_train without the labels to train on. So I am confused about where to include the target labels of train data.
Manu936
commented
6 years ago
Hey @kaz-Anova , Thanks for the great work btw, I am having this dataset where the training data (X_train) has binary labels and 60 features, whereas my test data set( X_test) doesn't have any labels as of now because the task is to predict the labels of the X_test, so I am confused where to keep the the target labels of training data should I keep it along with the X_train or should I separate it from the training data. The reason why I am confused is there is not attribute in command line saying like train_target=train_label.csv I tried running the code without the target train labels and with the target train labels attached with the X_train it seems to be running fine in both cases but it doesn't make sense when I run the X_train without the labels to train on. So I am confused about where to include the target labels of train data.