config.vsh.yaml

__merge__: ../../api/comp_method.yaml
name: knnr_py
label: KNNR (Py)
summary: K-nearest neighbor regression in Python.
description: K-nearest neighbor regression in Python.
references:
  doi: 10.2307/1403797
info:
  documentation_url: https://scikit-learn.org/stable/modules/neighbors.html
  repository_url: https://github.com/scikit-learn/scikit-learn
  preferred_normalization: log_cp10k
arguments:
  - name: "--distance_method"
    type: "string"
    default: "minkowski"
    description: The distance metric to use. Possible values include `euclidean` and `minkowski`.
  - name: "--n_pcs"
    type: "integer"
    default: 50
    description: Number of components to use for dimensionality reduction.
  - name: "--n_neighbors"
    type: "integer"
    default: 100
    description: Number of neighbors to use.
resources:
  - type: python_script
    path: script.py
engines:
  - type: docker
    image: openproblems/base_python:1
runners:
  - type: executable
  - type: nextflow
    directives:
      label: [hightime, midmem, midcpu]