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Readme.md
@@ -49,8 +49,7 @@ est_groups = GroupLassoENetCV(groups).fit(X, y)
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# folded concave penalty, tuned with cross-validation
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# and initialized from the LassoCV solution
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# see (Fan et al. 2014) for details
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-est_concave_cv = FcpLLACV(init=est_cv,
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- pen_func='scad').fit(X, y)
+est_concave_cv = FcpLLACV(init=est_cv, pen_func='scad').fit(X, y)
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```
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Se the [docs/](docs/) folder for additional examples in jupyter notebooks.
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