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rapidminer

Scoring

Scoring()

Class that allows you to use the Real-Time Scoring agent directly on a dataset with authentication available. You can authenticate via the basic authentication method and via OAuth2, Keycloak server.

Scoring(hostname,
             endpoint,
             authentication=None,
             username=None,
             password=None,
             client_secret=None,
             offline_token=None,
             authentication_server=None,
             realm=None,
             client_id=None)

Arguments:

  • hostname: Server url (together with the port).
  • endpoint: scoring service endpoint to use.
  • authentication: optional, it can have three different values "basic" or "oauth" or "oauth_token".
  • username: optional username for authentication in case of both authentication method.
  • password: optional password for authentication in case of both authentication method.
  • client_secret: Client secret for OAuth authentication via a non-public keycloak client, used with "oauth_token" authentication
  • offline_token: Offline token for authentication acquired via the /get-token endpoint, used with "oauth_token" authentication
  • authentication_server: Authentication Server url (together with the port).
  • realm: defines the Realm in case of OAuth authentication.
  • client_id: defines the client in the Realm in case of OAuth authentication.

predict

Scoring.predict(dataframe)

Calls the Real-Time Scoring agent on the specified dataset and returns the result.

Arguments:

  • dataframe: the pandas DataFrame.

Returns:

  • the result as a pandas DataFrame.