How To Pass cuDF Dataframe to cuML.ensemble.RandomForestClassifier?

I'm trying to fit data to the cuml.ensemble.RandomForestClassifier and I keep getting the error: "The labels need to be consecutive values from 0 to the number of unique label values"

I'm passing cudf.DataFrame objects into the function which have the same number of rows but differing number of columns. The column labels start at 0 and step by 1 up to the final column (in the example below 108). What am I doing wrong? I've attached a printout of the dataframes that I'm passing in below and some code for context:

clf1 = modelClass(max_depth=D1, random_state=random.randrange(0, 1024, 1), n_bins=15, n_streams=4, split_criterion=criterion, bootstrap=bootstrap, n_estimators=trs1)

clf1.fit(X1, Y1)

X1's dataframe looks like this:

[5407 rows x 3 columns]; dtype=('0', dtype('float64')); <cudf.core.dataframe._DataFrameLocIndexer object at 0x7f9c3d0f3070>

Y1's Dataframe looks like this:

[5407 rows x 1 columns]; dtype=('0', dtype('float64')); <cudf.core.dataframe._DataFrameLocIndexer object at 0x7f9c1b847b50>

System Information: Ubuntu 20.04, Titan RTX, CUDA 11.5, Rapids 21.12 built-in Conda, Python 3.8

Ended up that you need to encode Y1's Dataframe first before passing it:

enc = cuml.preprocessing.LabelEncoder()

Y1 = enc.fit_transform(Y1)

Shoutout to @beckernick for helping me out with this!