Book Image

Scala Machine Learning Projects

Book Image

Scala Machine Learning Projects

Overview of this book

Machine learning has had a huge impact on academia and industry by turning data into actionable information. Scala has seen a steady rise in adoption over the past few years, especially in the fields of data science and analytics. This book is for data scientists, data engineers, and deep learning enthusiasts who have a background in complex numerical computing and want to know more hands-on machine learning application development. If you're well versed in machine learning concepts and want to expand your knowledge by delving into the practical implementation of these concepts using the power of Scala, then this book is what you need! Through 11 end-to-end projects, you will be acquainted with popular machine learning libraries such as Spark ML, H2O, DeepLearning4j, and MXNet. At the end, you will be able to use numerical computing and functional programming to carry out complex numerical tasks to develop, build, and deploy research or commercial projects in a production-ready environment.
Table of Contents (17 chapters)
Title Page
Packt Upsell

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: 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:, "model/LDATrainedModel")

The trained model will be saved to the previously mentioned location. The directory will include data and metadata about the model and the training itself as shown in the following figure:

Figure 7: The directory structure of the trained and saved LDA model

As expected, the data folder has some parquet...