Skip to content

Flow to train the model. #9

@talk2sohail

Description

@talk2sohail

Hi there,

I am trying to train the CNN model but I am not able to prepare the dataset. Can you please help with the flow or steps to be specific in order to achieve the above said purpose. I urge u to please let me know if it can done. My aim is to score protein-protein interaction.

Steps I have done so far:

  1. Tried running the train.py with pointclouds.h5 file but I am getting the following error:
    cmd : python3 scripts/train.py --data_path pointclouds.h5 --optimizer SGD
    output :
    Traceback (most recent call last): File "scripts/train.py", line 64, in <module> dataloader = data.DataLoader(dataset, batch_size=arg.batch_size, shuffle=True, num_workers=1) File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 266, in __init__ sampler = RandomSampler(dataset, generator=generator) # type: ignore File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/sampler.py", line 104, in __init__ "value, but got num_samples={}".format(self.num_samples)) ValueError: num_samples should be a positive integer value, but got num_samples=0

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions