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References: <e1e2291a-bdb6-4dc4-8d27-73ef1f1b57f8@googlegroups.com> <244DCAA5-A8B8-4D13-ACBD-57031EA54E46@occamsmachete.com>
From: Kenneth Chan <kenneth@apache.org>
Date: Sat, 8 Jul 2017 01:23:52 -0700
Message-ID: <CANT7bZdU8uZvtErMTtLXDVpgFhij6HoY0dR68hApPz8QPNBgAA@mail.gmail.com>
Subject: Re: Getting the probability values in the random forest
 classification template of PredictionIO
To: user@predictionio.incubator.apache.org, rbagri72@gmail.com
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archived-at: Sat, 08 Jul 2017 08:24:00 -0000

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see here
https://spark.apache.org/docs/latest/mllib-ensembles.html#prediction

you can ask in Apache Spark's mailing list too.

On Fri, Jun 30, 2017 at 4:09 AM, Pat Ferrel <pat@occamsmachete.com> wrote:

> You probably should ask on PredictionIO mailing list.
>
> Signup here: http://predictionio.incubator.apache.org/support/
>
>
> On Jun 29, 2017, at 10:33 PM, rbagri72@gmail.com wrote:
>
> Hey,
> We are using the classification template
> <https://github.com/apache/incubator-predictionio-template-attribute-based-classifier>
> of PredictionIO (algorithm modified to random forest instead of Naive
> Bayes'). We wanted to ask how is the random forest classifying a test
> input: By the number of votes each tree give or the mean of the probability
> of each label in each tree)? Also, can we extract the mean probability of
> each class for a particular input so that we can get an idea of how is the
> strength of the prediction? And does this probability value reflect the
> absolute tendency of the input to belong to the said class?
>
> --
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<div dir=3D"ltr">see here<div><a href=3D"https://spark.apache.org/docs/late=
st/mllib-ensembles.html#prediction">https://spark.apache.org/docs/latest/ml=
lib-ensembles.html#prediction</a><br></div><div><br></div><div>you can ask =
in Apache Spark&#39;s mailing list too.</div></div><div class=3D"gmail_extr=
a"><br><div class=3D"gmail_quote">On Fri, Jun 30, 2017 at 4:09 AM, Pat Ferr=
el <span dir=3D"ltr">&lt;<a href=3D"mailto:pat@occamsmachete.com" target=3D=
"_blank">pat@occamsmachete.com</a>&gt;</span> wrote:<br><blockquote class=
=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padd=
ing-left:1ex"><div style=3D"word-wrap:break-word">You probably should ask o=
n PredictionIO mailing list.<div><br></div><div>Signup here:=C2=A0<a href=
=3D"http://predictionio.incubator.apache.org/support/" target=3D"_blank">ht=
tp://predictionio.<wbr>incubator.apache.org/support/</a></div><div><br></di=
v><div><br><div><div>On Jun 29, 2017, at 10:33 PM, <a href=3D"mailto:rbagri=
72@gmail.com" target=3D"_blank">rbagri72@gmail.com</a> wrote:</div><br clas=
s=3D"m_2941273260161700013Apple-interchange-newline"><div><div dir=3D"ltr">=
Hey,<div>We are using the <a href=3D"https://github.com/apache/incubator-pr=
edictionio-template-attribute-based-classifier" target=3D"_blank">classific=
ation template</a> of PredictionIO (algorithm modified to random forest ins=
tead of Naive Bayes&#39;). We wanted to ask how is the random forest classi=
fying a test input: By the number of votes each tree give or the mean of th=
e probability of each label in each tree)? Also, can we extract the mean pr=
obability of each class for a particular input so that we can get an idea o=
f how is the strength of the prediction? And does this probability value re=
flect the absolute tendency of the input to belong to the said class?</div>=
</div><span class=3D"HOEnZb"><font color=3D"#888888"><div><br class=3D"m_29=
41273260161700013webkit-block-placeholder"></div>

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</font></span></div></div><br></div></div></blockquote></div><br></div>

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