the following code...
from sparkdl.xgboost import XgboostRegressor
from pyspark.ml import Pipeline
params = {"n_estimators": 100, "learning_rate": 0.1, "max_depth": 4, "random_state": 42, "missing": 0}
xgboost = XgboostRegressor(**params)
pipeline = Pipeline(stages=[string_indexer, vec_assembler, xgboost])
pipeline_model = pipeline.fit(train_df)
generates the following error...
ImportError: cannot import name 'resnet50' from 'keras.applications' (/local_disk0/.ephemeral_nfs/envs/pythonEnv-d671417d-c26e-4e1b-ab99-6ea93e646ec3/lib/python3.8/site-packages/keras/applications/__init__.py)
i've looked at the modules in keras.applications and as the screenshots show, there is no resnet50, so I think a dependency needs to be updated.
