Impossible to deserialize a bundle written with Scikit-Learn with Pyspark: no "bundle.json found"

I serialize a model with Scikit-Learn:

```
#Generate data
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(100, 5), columns=['a', 'b', 'c', 'd', 'e'])
df["y"] = (df['a'] > 0.5).astype(int)
df.head()

from mleap.sklearn.ensemble.forest import RandomForestClassifier

forestModel = RandomForestClassifier()
forestModel.mlinit(input_features='a',
feature_names='a',
prediction_column='e_binary')

forestModel.fit(df[['a']], df[['y']])

forestModel.serialize_to_bundle("/dbfs/FileStore/tables/mleaptestmodelforest", "model.json")
```
When I try to read it with Pyspark:

```
from pyspark.ml.classification import RandomForestClassificationModel

model = RandomForestClassificationModel.deserializeFromBundle("file:/dbfs/FileStore/tables/mleaptestmodelforest")
```

I have this error:
`java.nio.file.NoSuchFileException: /dbfs/FileStore/tables/mleaptestmodelforest/bundle.json`

I have no "bundle.json".

Could you help me please?
Is it really possible to seralize a model with Scikit-Learn and deserialize it with Pyspark?

Start with the scikit-learn serialize_to_bundle call and the PySpark RandomForestClassificationModel.deserializeFromBundle entry point shown in the reproduction. Trace the expected bundle layout and determine whether the generated model can be consumed by the Spark reader; done means the compatibility behavior is verified and the missing bundle.json failure is resolved or clearly documented.

Written by the indexing model from the issue text.