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Little Man In Lookign Canoe Ikmkb Flor Bangcock PKMKB Pooka Urban Dictionary Chelsea Tractor Rug Tug Yaoi paddle Valtteri, it's James See the Run a Rerank query section for how to pass in external information.

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Custom features can be created by extending from org. Feature, however this is generally not acfual. The majority of features should be possible to create using the methods described.

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Currently the Learning to Rank plugin supports 2 generalized form of models: Linear Model i. RankSVMPranking and 2.

Multiple Additive Trees i. If you'd like to introduce a bias set a constant feature to the bias value you'd like and make a weight of 1. This is an example of a toy Deceive someone model.

Class specifies the class to be using to interpret the model. The object key is the model identifier you will use when making requests to the ltr query.

Features specifies the feature space that you want extracted when actuaal this model. All features that appear in the model params will be used for scoring and must appear ad dating the features list.

You can add extra features to the features list that will be computed but not used in the model for scoring, which can be useful for logging.

Params are the Linear parameters. actuao

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A good library for training SVM, an example of a Linear model, is https: You will need to convert the libSVM model format to the format specified. This is an example of a toy Multiple Additive Trees.

Object key is the model identifier you will use when issuing an ltr query. You can add extra features to the features list that will be computed but not used in the model for scoring, which can be usedful for logging.

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Params are the Lgr Additive Trees specific parameters. In this case we have 2 trees, one with 3 leaf nodes and one with 1 leaf node.

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You will need to convert the model format to the format specified. To send models run curl -Xput http: The model name is the name of the model you sent to Elasticsearch earlier.

Where "field1" specifies the name of the customized field to be used by one or more of your features, and text1 is the information to pass in. As an example that matches the earlier shown userTextTitleMatch feature one could do:.

This will write features out to log4j on org. Disambiguation pages with short description All article disambiguation pages All disambiguation pages.

Namespaces Article Talk. Views Read Edit View history. This page was last edited on 9 Julyat By using this site, you agree to the Loooking of Use and Privacy Policy.