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Spark Streaming

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Spark Streaming

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Classification problem

Input:

A training data set containing a set of sentences

▪ One sentence per line

▪ Schema

▪ label: 1 (Spark related sentence) or 0 (Non-spark related sentence)

▪ text: a sentence about something

A set of unlabeled sentences

2

(3)

Output:

For each unlabeled sentence the predicted class label value by using a logistic regression algorithm

You must train the model by using as input two predictive features:

The number of words in each sentence

A Boolean value associated with the

presence/absence of the word “Spark” in the sentences

3

(4)

Training data

label,text

1,The Spark system is based on scala 1,Spark is a new distributed system 0,Turin is a beautiful city

…

Unlabeled data

label,text

,Spark performs better than Hadoop ,Turin is in Piedmont

…

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