Java Deep Learning Cookbook

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We discussed earlier in this chapter how to use the AnalyzeLocal utility class to find out missing values. We can also perform extended data analysis using AnalyzeLocal. We can create a data analysis object that holds information on each column present in the dataset. It can be created by calling analyze(), as we discussed in the previous chapter. If you try to print out the information on the data analysis object, it will look like the following:

It will calculate the standard deviation, mean, and the min/max values for all the features in the dataset. The count of features is also calculated, which will be helpful toward ...