Pandas Query

This model allows a Pandas query to be run in the input to select rows. An example is shown below:

# samples/models/choice1.yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: choice-is-one
spec:
  storageUri: "gs://seldon-models/scv2/examples/pandasquery"
  requirements:
  - mlserver
  - python
  parameters:
  - name: query
    value: "choice == 1"

This invocation check filters for tensor A having value 1.

• The model also returns a tensor called status which indicates the operation run and whether it was a success. If no rows satisfy the query then just a status tensor output will be returned.

• Further details on Pandas query can be found here

This model can be useful for conditional Pipelines. For example, you could have two invocations of this model:

# samples/models/choice1.yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: choice-is-one
spec:
  storageUri: "gs://seldon-models/scv2/examples/pandasquery"
  requirements:
  - mlserver
  - python
  parameters:
  - name: query
    value: "choice == 1"

and

# samples/models/choice2.yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: choice-is-two
spec:
  storageUri: "gs://seldon-models/scv2/examples/pandasquery"
  requirements:
  - mlserver
  - python
  parameters:
  - name: query
    value: "choice == 2"

By including these in a Pipeline as follows we can define conditional routes:

# samples/pipelines/choice.yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: choice
spec:
  steps:
  - name: choice-is-one
  - name: mul10
    inputs:
    - choice.inputs.INPUT
    triggers:
    - choice-is-one.outputs.choice
  - name: choice-is-two
  - name: add10
    inputs:
    - choice.inputs.INPUT
    triggers:
    - choice-is-two.outputs.choice
  output:
    steps:
    - mul10
    - add10
    stepsJoin: any

Here the mul10 model will be called if the choice-is-one model succeeds and the add10 model will be called if the choice-is-two model succeeds.

The full notebook can be found here