I get the following error when I attempt to load a saved `sklearn.preprocessing.MinMaxScaler`

```
/shared/env/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator MinMaxScaler from version 0.23.2 when using version 0.24.0. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
[2021-01-08 19:40:28,805 INFO train.py:1317 - main ] EXCEPTION WORKER 100: 
Traceback (most recent call last):
  ...
  File "/shared/core/simulate.py", line 129, in process_obs
    obs = scaler.transform(obs)
  File "/shared/env/lib/python3.6/site-packages/sklearn/preprocessing/_data.py", line 439, in transform
    if self.clip:
AttributeError: 'MinMaxScaler' object has no attribute 'clip'

```

I trained the scaler on one machine, saved it, and pushed it to a second machine where it was loaded and used to transform input.

```
# loading and transforming
import joblib
from sklearn.preprocessing import MinMaxScaler

scaler = joblib.load('scaler')
assert isinstance(scaler, MinMaxScaler)
data = scaler.transform(data)  # throws exception

```