Hi, Just getting up to speed on LTR and have a few questions (most of which are speculative at this point and exploratory, as I have a couple of talks coming up on this and other relevance features):
1. Has anyone looked at what's involved with supporting SparkML or other models (e.g. PMML)? 2. Has anyone looked at features for text? i.e. returning TF-IDF vectors or similar. FieldValueFeature is kind of like this, but I might want weights for the terms, not just the actual values. I could get this via term vectors, but then it doesn't fit the framework. 3. How about payloads and/or things like boost values for documents as features? 4. Are there example docs of training and using the MultipleAdditiveTreesModel? I see unit tests for them, but looking for something similar to the python script in the example dir. On 2 and 3, I imagine some of this can be done creatively via the SolrFeature and function queries. Thanks, Grant
