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graph LR
    Experiment_Logger["Experiment Logger"]
    Git_Integration["Git Integration"]
    Log_Data_Storage["Log Data Storage"]
    Log_Data_Processor["Log Data Processor"]
    Web_Server["Web Server"]
    Web_User_Interface_UI_["Web User Interface (UI)"]
    Experiment_Logger -- "Writes experiment data" --> Log_Data_Storage
    Experiment_Logger -- "Initiates code/config commits" --> Git_Integration
    Web_User_Interface_UI_ -- "Requests and receives data for display" --> Web_Server
    Web_Server -- "Requests processed data for UI" --> Log_Data_Processor
    Log_Data_Processor -- "Reads raw log data" --> Log_Data_Storage
    Log_Data_Processor -- "Provides processed data" --> Web_Server
    Web_Server -- "Manages internal server configuration" --> Web_Server
    click Experiment_Logger href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/fitlog/Experiment_Logger.md" "Details"
    click Git_Integration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/fitlog/Git_Integration.md" "Details"
    click Log_Data_Processor href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/fitlog/Log_Data_Processor.md" "Details"
    click Web_Server href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/fitlog/Web_Server.md" "Details"
    click Web_User_Interface_UI_ href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/fitlog/Web_User_Interface_UI_.md" "Details"
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Details

The fitlog project implements a client-server architecture for ML experiment management, centered on an experiment-centric data flow. Users interact with the Experiment Logger to record experiment details, which are then persistently stored in Log Data Storage and version-controlled by the Git Integration module. For visualization, a Web User Interface (UI) communicates with the Web Server, which acts as the central orchestrator. The Web Server retrieves raw data from Log Data Storage via the Log Data Processor, which transforms and aggregates the data before it is presented to the user through the Web User Interface (UI). This design ensures a clear separation of concerns, allowing for robust logging, versioning, and interactive visualization of machine learning experiments.

Experiment Logger [Expand]

The primary user-facing API for logging experiment data (hyperparameters, metrics, etc.) and initiating version control.

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Git Integration [Expand]

Manages interactions with Git for version control of experiment code and configurations.

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Log Data Storage

The persistent layer for storing raw experiment log files on the file system.

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Log Data Processor [Expand]

Reads, parses, aggregates, and transforms raw log data into structured formats suitable for analysis and display.

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Web Server [Expand]

The backend application that handles HTTP requests, serves the web UI, manages server configurations, and orchestrates data flow between the UI and data processing components.

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Web User Interface (UI) [Expand]

The frontend application that provides an interactive interface for users to visualize, analyze, and manage experiment logs.

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FAQ