Text Data Model Explanations
Launch an movie sentiment prediction model and get explanations on text data.
In this demo we will:
- Launch a movie sentiment model which takes text input
- Send a request to get a sentiment predicton
- Create an explainer for the model
- Send the same request and then get an explanation for it
Create Model
Use the model url:
gs://seldon-models/sklearn/moviesentiment
Get Predictions
Run a single prediction using the JSON below.
{
"data": {
"names": [
"Text review"
],
"ndarray": [
"this film has bad actors"
]
}
}
Add an Anchor Text Explainer
Create an Anchor Text explainer using the default settings.
Get Explanation for one Request
Resend a single request using the JSON below and then explain it:
{
"data": {
"names": [
"Text review"
],
"ndarray": [
"this film has bad actors"
]
}
}
Delete Deployment
Finally, delete the deployment.
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Last modified November 27, 2019: #79 Add missing JSON content to demo (c3cd37d)