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Online Service2022 04 02 · Lime how we get explanations Lime is short for Local Interpretable Model Agnostic Explanations Each part of the name reflects something that we desire in explanations Local refers to local fidelity we want the explanation to really reflect the behaviour of the classifier around the instance being predicted
Online Servicemodule¶ Discretizers classes to be used in lime tabular class data categorical features feature names labels=None random state=None data stats=None ¶ Bases object Abstract class Build a class that inherits from this class to implement a custom discretizer
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Online ServiceLIME an algorithm that can explain the predictions of any classi er or regressor in a faithful way by approximating it locally with an interpretable model SP LIME a method that selects a set of representative instances with explanations to address the trusting the
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Online Servicelime tabular ¶ The lime has a module named lime tabular which provides methods that can be used to generate explanations of the model which are trained on structured datasets We ll be trying regression and classification models on different datasets and then use lime to generate explanations for random samples of dataset
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Online Service12 08 2022· Local Interpretable Model Agnostic Explanations LIME An Introduction A technique to explain the predictions of any machine learning classifier Machine learning is at the core of many recent advances in science and technology With computers beating professionals in games like Go many people have started asking if machines would also make
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