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# Fortunately, PySpark has functions for handling this built into the `pyspark.ml.features` submodule. You can create what are called `'one-hot vectors'` to represent the carrier and the destination of each flight. A one-hot vector is a way of representing a categorical feature where every observation has a vector in which all elements are zero except for at most one element, which has a value of one (1). |
I think this is a typo. It should be pyspark.ml.feature (singular) instead of pyspark.ml.features (plural), as you can see in the source code of the relevant package
I too have made this error, which is how I found this code () when I searched for my error, which was No module named 'pyspark.ml.features' ... but fixed my error by using import pyspark.ml.feature instead.
DataCamp/Introduction_to_PySpark.py
Line 536 in fd8ad69
I think this is a typo. It should be
pyspark.ml.feature(singular) instead ofpyspark.ml.features(plural), as you can see in the source code of the relevant packageI too have made this error, which is how I found this code () when I searched for my error, which was
No module named 'pyspark.ml.features'... but fixed my error by usingimport pyspark.ml.featureinstead.