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hey @Ajinkya! Here you can find the documentation of the

DistributedMLForecast

class which is compatible with spark, dask, and ray. In particular, here you can find an example using dask. Regarding the error using pyspark, could you provide some details? A screenshot of the error and a code snippet might work

Hi fede I do not get errors the code just crashes I am basically converting a very large dataset to to pyspark dataframe and then applying a pandas udf on this dataframe. My pandas udf has MLforecast running. When i do the above mentioned operation the code crashes