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Split the data

A dataframe df_examples is available having columns endword: string, features: vector, outvec: vector, and label: int. You're going to split it to obtain training and testing set, which you will use to train and test a classifier.

This exercise is part of the course

Introduction to Spark SQL in Python

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Exercise instructions

  • Split the examples into train and test using a 80/20 split.
  • Print the number of training examples.
  • Print the number of test examples.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Split the examples into train and test, use 80/20 split
df_trainset, df_testset = df_examples.____((____), 42)

# Print the number of training examples
print("Number training: ", ____.____)

# Print the number of test examples
print("Number test: ", ____.____)
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