class_docstr: A class to interact with Vertex AI
code: def predict_from_dict(self, endpoint_display_name, data):
      # convert to list of dictionaries
      instances = [
          dict(zip(data.keys(), values))
          for values in zip(*data.values())
      ]
      endpoint = self.get_endpoint_by_display_name(
          endpoint_display_name
      )
      prediction = endpoint.predict(instances=instances)
      return prediction
  
file_path: mindsdb/mindsdb/integrations/handlers/vertex_handler/vertex_client.py
imports: from mindsdb.utilities import log
  from google.cloud import aiplatform
  from google.oauth2 import service_account
  import pandas
label_desc: Use image node_id 11 for calling the VertexClient obj's underlying member method code with example usage: obj.predict_from_dict(endpoint_display_name, data) and returns: prediction