Talking Stage v1.3.0

What's New in v1.3.0

Key Updates

Enhanced User Interaction

• New Input Method: Users can now send their messages to the bot by pressing the enter key or clicking the send button. This makes the interaction smoother and more intuitive.

Improved Machine Learning Model

• Algorithm Parameter Tuning: Updated the machine learning algorithm parameters for better performance. The LightGBM model now has the following configuration:
  • Number of Leaves: 20
  • Number of Iterations: 100
  • Minimum Example Count Per Leaf: 5
  • Learning Rate: 0.05
  • Gradient Booster Options:
    • Subsample Fraction: 0.8
    • Feature Fraction: 0.8
    • L1 Regularization: 0.1
    • L2 Regularization: 0.2
  • Maximum Bin Count Per Feature: 254
  • Early Stopping Rounds: 20

Expanded Training Data

• Increased Data Points: The training dataset has been expanded to over 3500 data points. This larger dataset helps in making the model more robust and accurate.

Model Pipeline Enhancements

• Preprocessing Steps: The training data is now preprocessed to ensure consistency. This involves trimming and converting text to lowercase to avoid discrepancies.
• Feature Engineering: Enhanced feature engineering steps in the training pipeline to improve model performance.