July 2018
Intermediate to advanced
474 pages
13h 37m
English
book
Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
Content preview from Apache Spark Deep Learning Cookbook
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How to do it...
The following section walks through the steps to train the TF-IDF model.
- Create a new user-defined function, udf, to define numerical values for the label column using the following script:
label = F.udf(lambda x: 1.0 if x == 'escalate' else 0.0, FloatType())df = df.withColumn('label', label('label'))
- Execute the following script to set the TF and IDF columns for the vectorization of the words:
import pyspark.ml.feature as featTF_ = feat.HashingTF(inputCol="words without stop", outputCol="rawFeatures", numFeatures=100000)IDF_ = feat.IDF(inputCol="rawFeatures", outputCol="features")
- Set up a pipeline, pipelineTFIDF, to set the sequence of stages for TF_ and IDF_ using the following script:
pipelineTFIDF = Pipeline(stages=[TF_, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.