initialize_logger

Preserves the current logger configuration (level, size, retention, console/json)
while changing the log directory for a new annotation session.

internal

Automated cell type annotation for single-cell RNA sequencing data
using consensus predictions from multiple large language models. Integrates
with Seurat objects and provides uncertainty quantification for annotations.
Supports various LLM providers including OpenAI, Anthropic, and Google.
For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.

Chen Yang

mLLMCelltype

Cell Type Annotation Using Large Language Models

initialize_logger function

<dl><dt>log_dir</dt>
<dd>Directory for log files</dd></dl>

Arguments

Reinitialize global logger with a specific directory — initialize_logger

<dl>

<dt>log_dir</dt>
<dd>Directory for log files</dd>

</dl>

initialize_logger: Reinitialize global logger with a specific directory

Description

Usage

Value

Arguments