parameters: (self)
return_statement: return self._worker_init
docstring: Op to initialize worker state once before starting any updates.
  
      Note that specifically this initializes the cache of the row and column
      weights on workers when `use_factors_weights_cache` is True. In this case,
      if these weights are being calcualted and reset after the object is created,
      it is important to ensure this ops is run afterwards so the cache reflects
      the correct values.
docstring_summary: Op to initialize worker state once before starting any updates.
docstring_tokens: Op to initialize worker state once before starting any updates .
function: def worker_init(self):
      """Op to initialize worker state once before starting any updates.
  
      Note that specifically this initializes the cache of the row and column
      weights on workers when `use_factors_weights_cache` is True. In this case,
      if these weights are being calcualted and reset after the object is created,
      it is important to ensure this ops is run afterwards so the cache reflects
      the correct values.
      """
      return self._worker_init
function_tokens: def worker_init ( self ) : return self . _worker_init