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clustersField
Clusters Field
required
|
Name of the field to store document extracted clusters. "_ss" suffix will be added if not already present
type: string
default value: 'document_clusters_ss'
minLength: 1
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distancesField
Distances Field
required
|
Name of the field to store document extracted distances to the clusters. "_ds" suffix will be added if not already present
type: string
default value: 'document_distances_ds'
minLength: 1
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documentFeatureField
Document Feature Field
required
|
Name of the document field to feed into the encoder.
type: string
default value: 'body_t'
minLength: 1
|
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failOnError
Fail on Error
|
Flag to indicate if this stage should throw an exception if an error occurs.
type: boolean
default value: 'false'
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|
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
|
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numClusters
Number of clusters
required
|
Number of document clusters to be stored in clusters field. Should be less or equal to the amount of clusters from the encoder model.
type: integer
default value: '1'
|
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storeInContext
Store predictions in the context
|
Flag to indicate that the encoded document vector and clusters should be stored in the Context instead of the documents fields.
type: boolean
default value: 'false'
|
|
vectorField
Vector Field
required
|
Name of the field to store the encoded vector in the document. "_ds" suffix will be added if not already present
type: string
default value: 'document_vector_ds'
minLength: 1
|