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I will implement shap and lime explainable ai for your ml model
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Informazioni su questo servizio
Your model works, but can you explain why? I add SHAP and LIME explainable AI to your machine learning model so you, your reviewers or your stakeholders can see what drives every prediction.
Explainable AI is my research focus. I am K. M. Arafat Islam, Founder and CEO of BuildSign Digital, with 15 published papers in Springer and IEEE venues and 4 years of experience applying SHAP and LIME to real socioeconomic data.
What I implement: SHAP summary, beeswarm, bar, waterfall, force and dependence plots LIME local explanations for individual predictions Global vs local feature importance comparison TreeExplainer, KernelExplainer or DeepExplainer as needed XGBoost, LightGBM, Random Forest, scikit-learn, Keras, PyTorch Tabular, text or image models
You receive: Clean, commented Python notebook High-resolution XAI figures Technical summary of what the explanations show
I implement and explain XAI for your model; I do not write research content on your behalf. Share your model or notebook and dataset details before ordering so I can confirm scope.
Linguaggio di programmazione:
Python
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R
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MATLAB
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SQL
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Colab
Framework:
Scikit-learn
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DeepPy
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Google ML Kit
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PyTorch
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Panda
Il mio portfolio
Altri servizi della categoria Data science e ML offerti da me
FAQ
What do I need to provide?
Your trained model (.pkl, .h5, .pt) or the notebook that trains it, plus the dataset or a sample. If you don't have a model yet, see my machine learning model gig.
SHAP or LIME, which is better?
SHAP gives consistent global and local explanations. LIME is fast for individual cases. Using both lets you cross-check results, which reviewers value.
Does it work with deep learning models?
Yes. I use DeepExplainer or GradientExplainer for Keras and PyTorch, and LIME for text and images.
Are the plots publication quality?
Yes. I export clean 300 to 600 DPI figures with readable feature names. A 600 DPI journal pack is available as an extra.
Will you explain what the plots mean?
Every order includes a technical summary of the key drivers. You interpret and report them in your own work.
Is my model confidential?
Yes. Your model and data are used only for your order and deleted on request.
