Regards,
Akshay Nowal
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-Original Message-
From: deneche abdelhakim [mailto:adene...@gmail.com]
Sent: Thursday, July 05, 2012 11:23 AM
To: user@mahout.apache.org
Subject: Re: Difference when we don't use partial implementation
Hi Akshay,
when you don't use the -p parameter
, 2012 11:23 AM
To: user@mahout.apache.org
Subject: Re: Difference when we don't use partial implementation
Hi Akshay,
when you don't use the -p parameter, the builder loads the whole dataset
in memory in every computing node, so every tree grown is trained on the
whole dataset (of course
Hi All,
I am running Decision forest in Mahout, below are the commands that I
have used to implement the algo:
Info file:
mahout org.apache.mahout.df.tools.Describe -p
/user/an32665/KDD/KDDTrain+.arff -f /user/an32665/KDD/KDDTrain+.info -d
N 3 C 2 N C 4 N C 8 N 2 C 19 N L
Building
Hi Akshay,
when you don't use the -p parameter, the builder loads the whole dataset
in memory in every computing node, so every tree grown is trained on the
whole dataset (of course using bagging to select a subset of it). When
using -p, every computing node loads a part of the dataset (thus the
