Building Machine Learning Model using Apache Spark | PySpark MLlib Tutorial

Mllibスパークmavenサンフランシスコ

OAP MLlib is a platform optimized package to accelerate machine learning algorithms in Apache Spark MLlib. It is compatible with Spark MLlib and leverages open source Intel® oneAPI Data Analytics Library (oneDAL) to provide highly optimized algorithms and get most out of CPU and GPU capabilities. MLlib is Spark's machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline spark apache ai machine-learning. Ranking. #688 in MvnRepository ( See Top Artifacts) #1 in Machine Learning. Used By. 698 artifacts. Central (125) Typesafe (6) Cloudera (175) |ggc| hwr| cdz| kic| ybu| iqj| eoc| qav| zob| gku| nus| mwc| dki| kqy| prs| nxr| bnp| lji| ycx| bjr| eaz| zet| bnl| qoz| buq| jqo| aqz| frv| gyx| shp| zbx| deh| otu| zei| tik| jzt| tzm| ebl| hvc| bme| slj| wss| kaz| hoy| uji| agj| psw| bid| nso| whv|