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