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You can create Machine Learning models from scratch or from templates
The template is the best approach to begin creating your machine learning model. It allows us to create a machine learning model based on commonly observed problems, for example the MLT.
Actually Tiki only support one template :
The MLT template solves the problems associated with suggesting similar content (finds documents that are "like" a given set of documents).
This emulates Module More Like This
More info: https://github.com/RubixML/RubixML/issues/75
| Transformers and Applied Learners | Arguments |
|---|---|
| TextNormalizer | |
| StopWordFilter | |
| WordCountVectorizer | maxVocabulary :1000 , minDocumentFrequency :1 ,maxDocumentFrequency: 500 ,okenizer :default |
| BM25Transformer | alpha :1.2 , beta :0.75 |
| KDNeighbors | k:20, weighted:true, tree : BallTree |
| ID | Name | Comment | Uploaded | Size | Downloads | |
|---|---|---|---|---|---|---|
| 175 | display1748.gif | Model Template More Like This configuration | Nat Okpe | 69.13 Kb | 3 | |
| 95 | 2020-10-20-machine-learning-models.png | Marc Laporte | 14.68 Kb | 22 |