• Admin class InformalParserInterface:
    def load_data_source(self, path: str, file_name: str) -> str:
    """Load in the file for extracting text."""
    pass

    def extract_text(self, full_file_name: str) -> dict:
    """Extract text from the currently loaded file."""
    pass
    1 year ago
  • Admin BRN offers optional open access publishing via the SAGE Choice programme. For more information on Open Access publishing options at SAGE please visit SAGE Open Access. For information on funding body compliance, and depositing your article in repositories, please visit SAGE’s Author Archiving and Re-Use Guidelines and Publishing Policies.
    1 year ago
  • Admin If you have built a decision tree before, you can appreciate the importance of minimum sample leaf size. Leaf is the end node of a decision tree. A smaller leaf makes the model more prone to capturing noise in train data. Generally I prefer a minimum leaf size of more than 50. However, you should try multiple leaf sizes to find the most optimum for your use case.
    1 year ago