A framework design method for machine learning modeling platform based on r language
A technology of machine learning and design methods, applied in machine learning, instruments, calculations, etc., can solve problems such as R operator distributed computing, and achieve the effects of secondary sharing of efficient models, enhanced support, and cluster load balancing
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[0035] A method for designing a machine learning modeling platform architecture based on R language, comprising the following steps:
[0036] Step 1: The user uses the inherent packaging format of the R operator to add various types of R operators on the modeling platform and classifies them according to their functions. The modeling platform is a WEB modeling platform; the WEB application modeling platform is divided into The classification results set the classification directory, and perform visual management and display; freely drag and drop n R operators in the classification directory to the workflow editing area, and connect according to a certain logical relationship to complete the machine learning operator construction; the data flow direction of the n R operators is from the first operator to the nth operator.
[0037] Step 2: Write a Shell script file for each R operator to receive the configuration parameters of the R operator in the modeling platform, complete th...
specific Embodiment 2
[0041]Step 1: The user uses the inherent packaging format of the R operator to add various types of R operators on the WEB application modeling platform, and classify them according to their functions; the WEB application modeling platform sets the classification directory according to the classification results, and Carry out visual management and display; freely drag and drop the three R operators in the category: operator A, operator B and operator C to the workflow editing area, and connect them according to a certain logical relationship to complete Construction of machine learning operators; the data flow direction of the three R operators is from operator A to operator B and then to operator C.
[0042] Step 2: Use the Oozie component to dynamically assign the three operators to different Hadoop cluster computing nodes. Operator A is assigned to computing node A, operator B is assigned to computing node B, and operator C is assigned to computing node c.
[0043] Step 3...
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