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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: data_split_alzheimers
version: 0.2.0
description: Reads multiple datasets of Alzheimer's images and splits them into training and testing datasets.
display_name: Data Splitting for Alzheimer's Dataset
is_deterministic: true
type: command
code: ./code
command: 'python traintestsplit.py
--mild_data ${{inputs.mild_data}}
--moderate_data ${{inputs.moderate_data}}
--non_data ${{inputs.non_data}}
--very_mild_data ${{inputs.very_mild_data}}
--split_size ${{inputs.train_test_split_factor}}
--training_data_output ${{outputs.training_data}}
--testing_data_output ${{outputs.testing_data}}
'
inputs:
mild_data:
optional: false
type: uri_folder
description: Path to the MildDemented dataset folder.
moderate_data:
optional: false
type: uri_folder
description: Path to the ModerateDemented dataset folder.
non_data:
optional: false
type: uri_folder
description: Path to the NonDemented dataset folder.
very_mild_data:
optional: false
type: uri_folder
description: Path to the VeryMildDemented dataset folder.
train_test_split_factor:
optional: false
type: number
description: Percentage of data to use for testing (e.g., 20 for 20% testing data).
outputs:
testing_data:
type: uri_folder
description: Path to the output folder for testing data.
training_data:
type: uri_folder
description: Path to the output folder for training data.
resources:
instance_count: 1
environment: azureml:aml-preprocessing-cli:0.1.0 |