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Fusion 5.9
    Fusion 5.9

    Machine Learning Index Stage

    Table of Contents

    The Fusion machine learning indexing stage uses a trained machine learning model to analyze a field or fields of a PipelineDocument and stores the results of analysis in a new field of either the PipelineDocument or Context object.

    In order to use the Machine Learning Stage, you must train a machine learning model. There are two different ways to train a model:

    Although this stage is available without a Fusion AI license, it is only effective after running the Fusion AI jobs mentioned above.

    Configuration

    When entering configuration values in the UI, use unescaped characters, such as \t for the tab character. When entering configuration values in the API, use escaped characters, such as \\t for the tab character.

    Invokes a machine learning model to make a prediction on a document during indexing.

    skip - boolean

    Set to true to skip this stage.

    Default: false

    label - string

    A unique label for this stage.

    <= 255 characters

    condition - string

    Define a conditional script that must result in true or false. This can be used to determine if the stage should process or not.

    modelId - stringrequired

    The ID of the ML model stored in the Fusion blob store. If you trained a model using a Fusion Job, by default the model ID will be the same as the job name.

    >= 1 characters

    docFeatureFieldName - stringrequired

    Name of fields to feed into the model. Can be a single field name, or multiple field names are supported in this format: field1:weight,field2:weight,field3:weight

    >= 1 characters

    Default: body_t

    predictionFieldName - stringrequired

    Name of the field to store the prediction (model output) in the document.

    defaultValue - string

    Value to provide if a prediction cannot be made

    failOnError - boolean

    Flag to indicate if this stage should throw an exception if an error occurs while generating a prediction for a document.

    Default: false

    storeInContext - boolean

    Flag to indicate that the prediction should be set as a context property instead of setting a field on the document.

    Default: false

    includeRawPredictions - boolean

    Flag to indicate that raw predictions and scores, in addition to the best prediction, should be set on the document.

    Default: false