How to pass a dataframe into the fit() function?

[offrok]

I wanted to try your pyod wrapper. I am working with pyspark dataframes in databricks. the model_data is a spark dataframe with 24 floattype features (columns) and many rows. It is actually a time series (so this this wrapper also work for TODS ?) This is my code:

`from pyod.models.lof import LOF

from kakapo import PyodWrapper
from kakapo import get_default_model_space

params = {
"type": "lof",
"n_neighbors":20,
"contamination": 0.01
}
model_space = {
"lof": LOF
}

model = PyodWrapper(**params)
model.set_model_space(model_space)

model.fit(model_data)`

When i simply try to fit the model on the dataframe i get the following error:
ValueError: Expected 2D array, got scalar array instead:

So my Question is, what type of dataframe should i pass into the model.fit() function / is there any more preprocessing necessary?