Test train split while retaining original dimension Question: I am trying to split a pandas dataframe of size 610×9724 (610 users x 9724 movies), putting 80% of the non-null values of the dataset into training and 20% of the remaining non-null values into the test set while replacing the 20% removed values from training with …
"Found input variables with inconsistent numbers of samples" Have I done something wrong during the train_test_split? Question: I am trying to logistic Regression Model, and run some test but I keep getting this error. Not really sure what I have done differently to everyone else from sklearn import preprocessing X = df.iloc[:,:len(df.columns)-1] y = df.iloc[:,len(df.columns)-1]ere …
Return random numbers from lists of varying size with weights Question: I would like to split existing data for a train-test-split in python. Functions like sklearn.train_test_split() typically choose evenly distributed values as testdata. But since I want to check, whether my model can deal with skewed data (more training data on "the left side of …
Split rows in train test based on user id PySpark Question: I have a PySpark dataframe containing multiple rows for each user: userId action time 1 buy 8 AM 1 buy 9 AM 1 sell 2 PM 1 sell 3 PM 2 sell 10 AM 2 buy 11 AM 2 sell 2 PM 2 sell …
Leveraging for loop to run slices of dataframe through supervised model based on one column value Question: I have the following dataframe and would like to group the data by cluster number to generate 5 new dataframes (the clusters go from 0-4), and then further split them up into training and test sets based on …
