title: Inbetriebnahme eines scikit-learn-Modells mit ONNX und FastAPI
  - author: Felix Schürmeyer
    author_link: https://hellocoding.de/autor/felix-schuermeyer/
    link: https://hellocoding.de/blog/coding-language/python/fastapi
    title: REST-API Programmieren mittels Python und dem FastAPI Modul
  Japanese:
  - author: '@bee2'

    - tutorial/body-multiple-params.md
    - tutorial/body-fields.md
    - tutorial/body-nested-models.md
    - tutorial/schema-extra-example.md
    - tutorial/extra-data-types.md
    - tutorial/cookie-params.md
    - tutorial/header-params.md
    - tutorial/response-model.md
    - tutorial/extra-models.md
    - tutorial/response-status-code.md
    - tutorial/request-forms.md
    - tutorial/request-files.md

# These are supported funding model platforms

github: [jinzhu]
patreon: jinzhu

      description: If compiling from source
  - type: input
    id: Cuda
    attributes:
      label: CUDA/cuDNN version
  - type: input
    id: Gpu
    attributes:
      label: GPU model and memory
      description: If compiling from source
  - type: textarea
    id: what-happened
    attributes:
      label: Current behavior?
      description: Also tell us, what did you expect to happen?

-2.0.txt Apache Maven https://maven.apache.org/ https://maven.apache.org/ Maven is a project development management and comprehension tool. Maven is a project development management and comprehension tool. Based on the concept of a project object model: builds, dependency management, documentation creation, site publication, and distribution publication are all controlled from the declarative file. Maven can be extended by plugins to utilise a number of other development tools for reporting or the...

       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   

      # UNSTABLE: If enabled, and ambient is enabled, enables ipv6 support
      ipv6: false


    repair:
      enabled: true
      hub: ""
      tag: ""

      # Repair controller has 3 modes. Pick which one meets your use cases. Note only one may be used.
      # This defines the action the controller will take when a pod is detected as broken.

    # Settings related to the untaint controller
    # This controller will remove `cni.istio.io/not-ready` from nodes when the istio-cni pod becomes ready
    # It should be noted that cluster operator/owner is responsible for having the taint set by their infrastructure provider when new nodes are added to the cluster; the untaint controller does not taint nodes
    taint:
      # Controls whether or not the untaint controller is active
      enabled: false

      nodeSelector: {}
      tolerations: []

      # Specify the pod anti-affinity that allows you to constrain which nodes
      # your pod is eligible to be scheduled based on labels on pods that are
      # already running on the node rather than based on labels on nodes.
      # There are currently two types of anti-affinity:
      #    "requiredDuringSchedulingIgnoredDuringExecution"

      env: {}
      nodeSelector: {}
      tolerations: []

      # Specify the pod anti-affinity that allows you to constrain which nodes
      # your pod is eligible to be scheduled based on labels on pods that are
      # already running on the node rather than based on labels on nodes.
      # There are currently two types of anti-affinity:
      #    "requiredDuringSchedulingIgnoredDuringExecution"