example-model.yaml

apiVersion: equinor.com/v1
kind: Model
metadata:
  name: gordo-model-name
  ownerReferences:
    - apiVersion: v1
      blockOwnerDeletion: true
      controller: true
      kind: Gordo
      name: test-project-name
      uid: 6571b980-8824-4b4f-b87c-639c40ef91e3

spec:

  gordo-version: 0.40.0

  config:
    dataset: |
      tags:
        - TAG-0
        - TAG-2
        - TAG-3
      target_tag_list:
        - TAG-4
        - TAG-5
        - TAG-6
      train_end_date: '2019-03-01T00:00:00+00:20'
      train_start_date: '2019-01-01T00:00:00+00:00'
      row_filter: "(`TAG-1` > 30) & (`TAG-1` < 40)"
      type: TimeSeriesDataset
    metadata: |
      information: 'Use row filtering and dropping the column inside the pipeline'
    evaluation: |
      seed: 1234
      metrics:
        - r2_score
    model: |
      gordo_components.model.anomaly.diff.DiffBasedAnomalyDetector:
        base_estimator:
          sklearn.compose.TransformedTargetRegressor:
            transformer: sklearn.preprocessing.data.MinMaxScaler
            regressor:
              sklearn.pipeline.Pipeline:
                steps:
                  - sklearn.compose.ColumnTransformer:
                      transformers:
                        - - dropper            # Name of this transformer
                          - drop               # Action to perform
                          - TAG-1              # Column to apply this action to.
                      remainder: passthrough   # What do do with the rest
                  - sklearn.preprocessing.data.MinMaxScaler
                  - gordo_components.model.models.KerasAutoEncoder:
                      kind: feedforward_hourglass
    name: rowfilter-drop-column-ff