January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Deploying the trained LDA model
For this mini deployment, let's use a real-life dataset: PubMed. A sample dataset containing PubMed terms can be downloaded from: https://nlp.stanford.edu/software/tmt/tmt-0.4/examples/pubmed-oa-subset.csv. This link actually contains a dataset in CSV format but has a strange name, 4UK1UkTX.csv.
To be more specific, the dataset contains some abstracts of some biological articles, their publication year, and the serial number. A glimpse is given in the following figure:
Figure 6: A snapshot of the sample dataset
In the following code, we have already saved the trained LDA model for future use as follows:
params.ldaModel.save(spark.sparkContext, ...
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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.