Machine learning method for Map Reduce task resource allocation parameters

The invention relates to operation optimization technologies of a YARN platform in 2nd generation Hadoop, in particular to a machine learning method for Map Reduce task resource allocation parameters. A learning machine is established by introducing the machine learning method, proper operational parameters can be selected for the operation of Map Reduce submitted in the YARN platform, and therefore platform operation efficiency can be improved and operation completion time can be shortened.