Skip to content
GitLab
Projects Groups Snippets
  • /
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
    • Contribute to GitLab
  • Sign in / Register
  • P pyod
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 144
    • Issues 144
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 16
    • Merge requests 16
  • CI/CD
    • CI/CD
    • Pipelines
    • Jobs
    • Schedules
  • Deployments
    • Deployments
    • Environments
    • Releases
  • Packages and registries
    • Packages and registries
    • Package Registry
    • Infrastructure Registry
  • Monitor
    • Monitor
    • Incidents
  • Analytics
    • Analytics
    • Value stream
    • CI/CD
    • Repository
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
Collapse sidebar
  • Yue Zhao
  • pyod
  • Issues
  • #472
Closed
Open
Issue created Jan 10, 2023 by gwgcirco@gwgcirco

KPCA fails in SUOD model

I am trying to ensamble multiple KPCA models under the SUOD framework. Fitting a single model works as expected:

import numpy as np
from pyod.models.kpca import KPCA
from pyod.models.suod import SUOD

data = np.load('/14_glass.npz')

X, y = data['X'], data['y']

clf = KPCA()
clf.fit(X)

However, wrapping two or more models in SUOD results in an error:

model_list = [KPCA(gamma=.1), KPCA(gamma = .5)]

clf2 = SUOD(base_estimators=model_list, combination='average')
clf2.fit(X)

ValueError: Unknown kernel None

Assignee
Assign to
Time tracking