|
clustersContextKey
Clusters Context Key
required
|
Context key used to store query clusters.
type: string
default value: 'query_clusters'
minLength: 1
|
|
distancesContextKey
Distances Context Key
required
|
Context key used to store distances to the clusters.
type: string
default value: 'query_distances'
minLength: 1
|
|
documentsClustersField
Document Clusters Field
required
|
Document clusters Solr field name. Filter Query with query cluster(s) are constructed against this field.
type: string
default value: 'document_clusters_ss'
minLength: 1
|
|
failOnError
Fail on Error
|
Flag to indicate if this stage should throw an exception if an error occurs.
type: boolean
default value: 'false'
|
|
modelId
TensorFlow Deep Learning Encoder Model ID
required
|
The ID of the DL encoder model bundled to the MLeap format and stored in the Fusion blob store.
type: string
blobType: model:ml-model
minLength: 1
reference: blob
|
|
numClusters
Number of clusters
required
|
Number of query clusters to be used for additional Filter Query. Can be overwritten by `num_clusters` query parameter. Should be less or equal to the amount of clusters from the encoder model. Set to 0 to disable clusters.
type: integer
default value: '0'
|
|
queryFeatureField
Query Feature Field
required
|
Name of the query field to feed into the encoder.
type: string
default value: 'q'
minLength: 1
|
|
storeInContext
Store predictions in the context
required
|
Flag to indicate that the encoded query vector and clusters should be stored in the context for later use by downstream query pipeline stages
type: boolean
default value: 'true'
|
|
vectorContextKey
Vector Context Key
required
|
Context key used to store query encoded vector.
type: string
default value: 'query_vector'
minLength: 1
|