[Python] LightGBM Error When Trying to Continue Training

I have an existing LightGBM model. I'm trying to continue training on. It has 9 features. I'm trying to add a 10th. I don't have the source materials for the original file, only the 9Models.txt file that is used for the booster.

data = np.array(data)
label = np.array(label)
params = {}
train_data = lgb.Dataset(data, label=label, free_raw_data=False)
gbm = lgb.train(params, train_data, keep_training_booster=True, num_boost_round = 10, init_model='9Models.txt')


When I try to run this, I get:

lightgbm.basic.LightGBMError: The number of features in data (1) is not the same as it was in training data (11).


I'm at a loss for what to do next here.

I tried changing parameters, I tried setting:

predict_disable_shape_check=true

but that leads to this error:

lightgbm.basic.LightGBMError: Number of class for initial score error

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