Change "observations" to "features" in description of LassoLarsCV #8362
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The description of LassoLarsCV compared the number of samples with the number of observations, but it was meant to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: > However, :class:`LassoLarsCV` has the advantage of exploring more relevant values of `alpha` parameter, and if the number of samples is very small compared to the number of observations, it is often faster than :class:`LassoCV`.
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indeed thx @cbrummitt |
sergeyf
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Feb 28, 2017
…ikit-learn#8362) The description of LassoLarsCV compared the number of samples with the number of observations, but it was meant to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: > However, :class:`LassoLarsCV` has the advantage of exploring more relevant values of `alpha` parameter, and if the number of samples is very small compared to the number of observations, it is often faster than :class:`LassoCV`.
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Sundrique
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Jun 14, 2017
…ikit-learn#8362) The description of LassoLarsCV compared the number of samples with the number of observations, but it was meant to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: > However, :class:`LassoLarsCV` has the advantage of exploring more relevant values of `alpha` parameter, and if the number of samples is very small compared to the number of observations, it is often faster than :class:`LassoCV`.
NelleV
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Aug 11, 2017
…ikit-learn#8362) The description of LassoLarsCV compared the number of samples with the number of observations, but it was meant to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: > However, :class:`LassoLarsCV` has the advantage of exploring more relevant values of `alpha` parameter, and if the number of samples is very small compared to the number of observations, it is often faster than :class:`LassoCV`.
paulha
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Aug 19, 2017
…ikit-learn#8362) The description of LassoLarsCV compared the number of samples with the number of observations, but it was meant to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: > However, :class:`LassoLarsCV` has the advantage of exploring more relevant values of `alpha` parameter, and if the number of samples is very small compared to the number of observations, it is often faster than :class:`LassoCV`.
maskani-moh
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Nov 15, 2017
…ikit-learn#8362) The description of LassoLarsCV compared the number of samples with the number of observations, but it was meant to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: > However, :class:`LassoLarsCV` has the advantage of exploring more relevant values of `alpha` parameter, and if the number of samples is very small compared to the number of observations, it is often faster than :class:`LassoCV`.
lemonlaug
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Jan 6, 2021
…ikit-learn#8362) The description of LassoLarsCV compared the number of samples with the number of observations, but it was meant to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: > However, :class:`LassoLarsCV` has the advantage of exploring more relevant values of `alpha` parameter, and if the number of samples is very small compared to the number of observations, it is often faster than :class:`LassoCV`.
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The description of LassoLarsCV compared the number of samples with the number of observations, but I think the author intended to compare the number of samples to the number of features (or dimensions) of the data. I changed "observations" to "features" in the following sentence: