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From Kevin Mellott <kevin.r.mell...@gmail.com>
Subject Re: [MLlib] How to set Loss to Gradient Boosted Tree in Java
Date Mon, 29 Feb 2016 15:49:22 GMT
Looks like it should be present in 1.3 at
org.apache.spark.mllib.tree.loss.AbsoluteError

spark.apache.org/docs/1.3.0/api/java/org/apache/spark/mllib/tree/loss/AbsoluteError.html

On Mon, Feb 29, 2016 at 9:46 AM, diplomatic Guru <diplomaticguru@gmail.com>
wrote:

> AbsoluteError() constructor is undefined.
>
> I'm using Spark 1.3.0, maybe it is not ready for this version?
>
>
>
> On 29 February 2016 at 15:38, Kevin Mellott <kevin.r.mellott@gmail.com>
> wrote:
>
>> I believe that you can instantiate an instance of the AbsoluteError class
>> for the *Loss* object, since that object implements the Loss interface.
>> For example.
>>
>> val loss = new AbsoluteError()
>> boostingStrategy.setLoss(loss)
>>
>> On Mon, Feb 29, 2016 at 9:33 AM, diplomatic Guru <
>> diplomaticguru@gmail.com> wrote:
>>
>>> Hi Kevin,
>>>
>>> Yes, I've set the bootingStrategy like that using the example. But I'm
>>> not sure how to create and pass the Loss object.
>>>
>>> e.g
>>>
>>> boostingStrategy.setLoss(......);
>>>
>>> Not sure how to pass the selected Loss.
>>>
>>> How do I set the  Absolute Error in setLoss() function?
>>>
>>>
>>>
>>>
>>> On 29 February 2016 at 15:26, Kevin Mellott <kevin.r.mellott@gmail.com>
>>> wrote:
>>>
>>>> You can use the constructor that accepts a BoostingStrategy object,
>>>> which will allow you to set the tree strategy (and other hyperparameters
as
>>>> well).
>>>>
>>>> *GradientBoostedTrees
>>>> <http://spark.apache.org/docs/latest/api/java/org/apache/spark/mllib/tree/GradientBoostedTrees.html#GradientBoostedTrees(org.apache.spark.mllib.tree.configuration.BoostingStrategy)>*
>>>> (BoostingStrategy
>>>> <http://spark.apache.org/docs/latest/api/java/org/apache/spark/mllib/tree/configuration/BoostingStrategy.html>
>>>>  boostingStrategy)
>>>>
>>>> On Mon, Feb 29, 2016 at 9:21 AM, diplomatic Guru <
>>>> diplomaticguru@gmail.com> wrote:
>>>>
>>>>> Hello guys,
>>>>>
>>>>> I think the default Loss algorithm is Squared Error for regression,
>>>>> but how do I change that to Absolute Error in Java.
>>>>>
>>>>> Could you please show me an example?
>>>>>
>>>>>
>>>>>
>>>>
>>>
>>
>

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