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What is the introduction to actual combat based on Spark training linear regression model?

2025-01-22 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article introduces the introduction to the actual combat based on Spark training linear regression model, the content is very detailed, interested friends can refer to, hope to be helpful to you.

01

The first person who came into contact with the distributed computing framework was MapReduce in Hadoop. Although it is very complex to develop (both Map and Reduce have corresponding implementation classes), I also successfully launched the first "Hello word" (word count).

Because MapReduce saves the intermediate results to disk at every step, and distributes the job jar package to each relevant Datanode, although my Txt file is less than 1m, it takes about 40 seconds to start the calculation and return the results. After all, I have a dream that I will deal with TB-level data.

As a distributed computing framework, Spark adopts a kind of memory-based computing, which reduces the repeated reading of the disk several times, and provides more operations in addition to map and reduce. This undoubtedly provides the best alternative to MapReduce. What attracts me most, however, is not how fast spark's mapreduce is, but that spark integrates Machine Learning packages.

02

The following provides a complete method for training machine learning models close to the actual production environment in the Spark cluster environment

03

The main features of this project tutorial are:

Complete documentation, concise code, highly operational tutorials, with step-by-step explanation

Spark experience linear regression model, which belongs to the best introductory practical example course, and is the best choice for beginners.

It is divided into 10 steps, which is easy to understand and easy to operate.

Import the package data needed, y=2x+biases merge matrix data format to specify cluster address translation data and view the data to convert df to spark model training data format, that is, change feature to array partition data set 0.9 and 0.1, and print coefficients and intercept drawing images, view fitting effect input http://localhost:4040 to view job health 04 project part of the visual graphic display:

On the Spark-based training linear regression model of the actual combat introduction is shared here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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