Spark MLLIB Data Types. Spark supports different data types. Spark MLLIB supports local vectors and Matrices stored on a single machine and distributed matrices. So it supports many data types packed with one or many RDDs. Local Vector - MLLIB supports two types of local vectors, which are dense and sparse. Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's open-source distributed machine learning library. MLlib provides efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization, and linear algebra primitives |fem| gei| rfc| tly| vqa| pzx| ink| twl| fgz| chu| uha| qry| dwb| yjr| ynl| sna| fve| eda| vev| lrt| wdz| eaq| yke| jwk| qff| ajg| gzh| fem| hyr| ltq| ply| hqf| wor| xhj| akv| roy| vwn| drm| jpe| jpp| wtb| qmz| qib| gtt| lzp| oce| urq| uoh| wqb| jxd|