DOC better reference for test_multinomial_identifiability_on_iris
@@ -2006,7 +2006,7 @@ def test_multinomial_identifiability_on_iris(fit_intercept):
satisfies the symmetric constraint:
sum(coef_k, k=1..c) = 0
- Further details can be found in the appendix of [2].
+ Further details can be found in [2].
Reference
---------
@@ -2014,10 +2014,9 @@ def test_multinomial_identifiability_on_iris(fit_intercept):
penalized logistic regression". Biostatistics 5 3 (2004): 427-43.
<10.1093/biostatistics/kxg046>`
- .. [2] :arxiv:`Powers, Scott, Trevor J. Hastie and Robert Tibshirani. (2017)
- "Nuclear penalized multinomial regression with an application to
- predicting at bat outcomes in baseball".
- Statistical modelling, 18, 5-6, pp. 388-410. <1706.10272>`
+ .. [2] :arxiv:`Noah Simon and Jerome Friedman and Trevor Hastie. (2013)
+ "A Blockwise Descent Algorithm for Group-penalized Multiresponse and
+ Multinomial Regression". <1311.6529>`
"""
# Test logistic regression with the iris dataset
n_samples, n_features = iris.data.shape
