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From: VG <vlinked@gmail.com>
Date: Sun, 24 Jul 2016 00:07:48 +0530
Message-ID: <CAAwEHAXJ9gStz0D8V1MwFom2Ed-N9QV2CnaQmuvmA-jq4Vj-Ew@mail.gmail.com>
Subject: Spark ml.ALS question -- RegressionEvaluator .evaluate giving ~1.5
 output for same train and predict data
To: User <user@spark.apache.org>
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archived-at: Sat, 23 Jul 2016 18:38:21 -0000

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I am trying to run ml.ALS to compute some recommendations.

Just to test I am using the same dataset for training using ALSModel and
for predicting the results based on the model .

When I evaluate the result using RegressionEvaluator I get a
Root-mean-square error = 1.5544064263236066

I thin this should be 0. Any suggestions what might be going wrong.

Regards,
Vipul

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<div dir=3D"ltr">I am trying to run ml.ALS to compute some recommendations.=
=C2=A0<div><br></div><div>Just to test I am using the same dataset for trai=
ning using ALSModel and for predicting the results based on the model .</di=
v><div><br></div><div>When I evaluate the result using=C2=A0RegressionEvalu=
ator I get a Root-mean-square error =3D 1.5544064263236066</div><div><br></=
div><div>I thin this should be 0. Any suggestions what might be going wrong=
.=C2=A0</div><div><br></div><div>Regards,</div><div>Vipul=C2=A0</div></div>

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