beeman

# Stop all containers
docker stop `docker ps -qa`

# Remove all containers
docker rm `docker ps -qa`

# Remove all images
docker rmi -f `docker images -qa `

# Remove all volumes

michaelguia

def PolynomialFeatures_labeled(input_df,power):
    '''Basically this is a cover for the sklearn preprocessing function. 
    The problem with that function is if you give it a labeled dataframe, it ouputs an unlabeled dataframe with potentially
    a whole bunch of unlabeled columns. 

    Inputs:
    input_df = Your labeled pandas dataframe (list of x's not raised to any power) 
    power = what order polynomial you want variables up to. (use the same power as you want entered into pp.PolynomialFeatures(power) directly)

    Ouput: