h2oai/h2o-3

I am trying to use xgboost with sparkling water, but when I use the fit method, I get the following error message. Other models work fine. Does xgboost no longer support it?

My pyspark version is 3.2.1 and sparkling water is 3.36.0.3-1-3.2.

from pysparkling.ml import H2OXGBoostClassifier
estimator = H2OXGBoost(labelCol = "CAPSULE")
model = estimator.fit(trainingDF)

Py4JJavaError                             Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_14728/2631432188.py in <module>
      1 from pysparkling.ml import H2OXGBoostClassifier
      2 estimator = H2OXGBoost(labelCol = "CAPSULE")
----> 3 model = estimator.fit(trainingDF)

~\anaconda3\lib\site-packages\pyspark\ml\base.py in fit(self, dataset, params)
    159                 return self.copy(params)._fit(dataset)
    160             else:
--> 161                 return self._fit(dataset)
    162         else:
    163             raise TypeError("Params must be either a param map or a list/tuple of param maps, "

~\anaconda3\lib\site-packages\pyspark\ml\wrapper.py in _fit(self, dataset)
    333 
    334     def _fit(self, dataset):
--> 335         java_model = self._fit_java(dataset)
    336         model = self._create_model(java_model)
    337         return self._copyValues(model)

~\anaconda3\lib\site-packages\pyspark\ml\wrapper.py in _fit_java(self, dataset)
    330         """
    331         self._transfer_params_to_java()
--> 332         return self._java_obj.fit(dataset._jdf)
    333 
    334     def _fit(self, dataset):

~\anaconda3\lib\site-packages\py4j\java_gateway.py in __call__(self, *args)
   1319 
   1320         answer = self.gateway_client.send_command(command)
-> 1321         return_value = get_return_value(
   1322             answer, self.gateway_client, self.target_id, self.name)
   1323 

~\anaconda3\lib\site-packages\pyspark\sql\utils.py in deco(*a, **kw)
    109     def deco(*a, **kw):
    110         try:
--> 111             return f(*a, **kw)
    112         except py4j.protocol.Py4JJavaError as e:
    113             converted = convert_exception(e.java_exception)

~\anaconda3\lib\site-packages\py4j\protocol.py in get_return_value(answer, gateway_client, target_id, name)
    324             value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
    325             if answer[1] == REFERENCE_TYPE:
--> 326                 raise Py4JJavaError(
    327                     "An error occurred while calling {0}{1}{2}.\n".
    328                     format(target_id, ".", name), value)

Py4JJavaError: An error occurred while calling o2851.fit.
: ai.h2o.sparkling.backend.exceptions.RestApiCommunicationException: H2O node http://192.168.0.218:54325 responded with
Status code: 404 : Not Found
Server error: {"__meta":{"schema_version":3,"schema_name":"H2OErrorV3","schema_type":"H2OError"},"timestamp":1647850376319,"error_url":"POST /3/ModelBuilders/xgboost","msg":"\n\nERROR MESSAGE:\n\nPOST /3/ModelBuilders/xgboost not found\n\n","dev_msg":"\n\nERROR MESSAGE:\n\nPOST /3/ModelBuilders/xgboost not found\n\n","http_status":404,"values":{},"exception_type":"water.exceptions.H2ONotFoundArgumentException","exception_msg":"\n\nERROR MESSAGE:\n\nPOST /3/ModelBuilders/xgboost not found\n\n","stacktrace":["water.exceptions.H2ONotFoundArgumentException: POST /3/ModelBuilders/xgboost not found","    water.api.RequestServer.response404(RequestServer.java:743)","    water.api.RequestServer.serve(RequestServer.java:467)","    water.api.RequestServer.doGeneric(RequestServer.java:301)","    water.api.RequestServer.doPost(RequestServer.java:227)","    javax.servlet.http.HttpServlet.service(HttpServlet.java:523)","    javax.servlet.http.HttpServlet.service(HttpServlet.java:590)","    ai.h2o.org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865)","    ai.h2o.org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:535)","    ai.h2o.org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255)","    ai.h2o.o