May 2020
Intermediate to advanced
530 pages
17h 8m
English
There are a variety of file formats used for datasets, and not all of them might be supported by libraries. For using data from unsupported formats, we might need to write custom parsers. After we read values to regular C++ containers, we usually need to convert them into object types used in the machine learning framework we use. As an example, let's consider the case of reading matrix data from files into C++ objects.
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