Comments (1)
The KnowledgeBase stores the Training Parameters and the Model Parameters of all algorithms. It's a protected property of the AbstractTrainer class. In your example you don't have to mess with this, just pass directly the parameters of the Text Extractor (in other words how you want the text to be tokenized). You can find lots of examples on this in the unit-tests.
Please note that the TextClassifier is supposed to be an easy to use class for those who just want to perform Text classification quickly. Same applies for all classes added in the Applications module. Think of them as off the shelf solutions for simple cases. If you want full control over your process I advise using directly the ML algorithms included in the core module.
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Related Issues (20)
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