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API_REFERENCE_FOR_REGRESSION.md

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@@ -256,7 +256,7 @@ The index of the term selected. So ***0*** is the first term, ***1*** is the sec
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## Method: get_term_importance()
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***Returns a numpy vector containing the estimated feature importance in the training data for each term.***
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***Returns a numpy vector containing the estimated term importance in the training data for each term.***
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## Method: get_intercept()

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