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README.md
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## Model Description
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- **Architecture**: Multi-layer neural network with sigmoid outputs
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- **Input**: TF-IDF vectorized queries (max 500 features)
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- **Output**: Independent probabilities for each system
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- **Systems**: accounting, communication, enterprise_resource_planning, knowledge_management, project_management, sales
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## Usage
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```python
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from src.core.
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# Classify a single query
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result = classify_query("show total revenue for last quarter")
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## Model Description
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- **Architecture**: Multi-layer neural network with sigmoid outputs
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- **Input**: TF-IDF vectorized queries (max 500 features)
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- **Output**: Independent probabilities for each system
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- **Systems**: accounting, communication, enterprise_resource_planning, knowledge_management, project_management, sales
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## Usage
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```python
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from src.core.services__OLD_REFACTOR.query_classifier_service import classify_query
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# Classify a single query
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result = classify_query("show total revenue for last quarter")
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