Machine Learning with Spark and Python by Michael Bowles

Author:Michael Bowles
Language: eng
Format: epub
ISBN: 9781119561958
Publisher: Wiley
Published: 2019-11-05T00:00:00+00:00

Figure 4.7 shows the coefficient curves developed by the LARS algorithm. They are similar in character to the curves you saw for the wine taste prediction problem. However, there are more curves because the rocks versus mines data set has more attributes. (The rock versus mines data has 60 attributes and 208 rows of data.) From the discussion in Chapter 3, you might expect that the optimum solution won't use all the attributes. You'll see how that tradeoff turns out in Chapter 5, which concentrates on solutions to this and other problems and comparisons between different approaches.

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