pgmpy

pgmpy is a Python library designed for causal and probabilistic reasoning using graphical models, including Bayesian networks and directed acyclic graphs. It provides a comprehensive workflow covering structure learning, parameter estimation, probabilistic inference, and causal effect estimation. The toolkit features a unified, scikit-learn compatible API, enabling seamless integration into data science pipelines and higher-level analytical tools.

LLM mention score

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.

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How to get LLM mention data →

// Fetch pgmpy mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "pgmpy",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]