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Answered
Hi, Quickhelp With Pipelines: I Am Loading A Model During A State Of It And Them Passing This Model (Torch.Nn.Module Object) As Input Argument To A Pipeline Component. I Noticed The Model Inside The Pipeline Component Is An Object Of Class 'Pathlib2.Posix

Hi,
Quickhelp with pipelines:
I am loading a model during a state of it and them passing this model (torch.nn.Module object) as input argument to a pipeline component. I noticed the model inside the pipeline component is an object of class 'pathlib2.PosixPath'. Since this pipeline is agnostic of model type (checking by type(model), I find it particularly funny as it was working with catboostClassifier object previously

  
  
Posted one year ago
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Answers 3


Hi ShallowGoldfish8 ,

I'm not sure I understand the scenario. Can you please elaborate? In the end the model object is there so you can easily fetch the raw data and track it.

  
  
Posted one year ago

Steps (pipeline components):
Load the model Infereces witht he model
Its equivalent to
model = Step1(*args) preds = Step2(model, *args)
After step 1, I have the model loaded as a torch object, as expected. When this object is passed to step 2, inside of step 2, it is read as an object of class 'pathlib2.PosixPath'.

I assume that is because there is some kind of problem in the pickling/loading/dumping of the inputs from a step to another in the pipeline. Is it some kind of known issue or is there anything I am doing wrong? When doing the same for a catboost model it works perfectly

  
  
Posted one year ago

I see. When you're working with catboost, as what type of object is it being passed?

  
  
Posted one year ago