Till,
Thank you for your reply.
Having this issue though, WeightVector does not extend IOReadWriteable:
*public* *class* SerializedOutputFormat<*T* *extends* IOReadableWritable>
*case* *class* WeightVector(weights: Vector, intercept: Double) *extends*
Serializable {}
However, I will use the approach to write out the weights as text.
On Tue, Mar 29, 2016 at 5:01 AM, Till Rohrmann <trohrm...@apache.org> wrote:
> Hi Gna,
>
> there are no utilities yet to do that but you can do it manually. In the
> end, a model is simply a Flink DataSet which you can serialize to some
> file. Upon reading this DataSet you simply have to give it to your
> algorithm to be used as the model. The following code snippet illustrates
> this approach:
>
> mlr.fit(inputDS, parameters)
>
> // write model to disk using the SerializedOutputFormat
> mlr.weightsOption.get.write(new SerializedOutputFormat[WeightVector], "path")
>
> // read the serialized model from disk
> val model = env.readFile(new SerializedInputFormat[WeightVector], "path")
>
> // set the read model for the MLR algorithm
> mlr.weightsOption = model
>
> Cheers,
> Till
>
>
> On Tue, Mar 29, 2016 at 10:46 AM, Simone Robutti <
> simone.robu...@radicalbit.io> wrote:
>
>> To my knowledge there is nothing like that. PMML is not supported in any
>> form and there's no custom saving format yet. If you really need a quick
>> and dirty solution, it's not that hard to serialize the model into a file.
>>
>> 2016-03-28 17:59 GMT+02:00 Sourigna Phetsarath <
>> gna.phetsar...@teamaol.com>:
>>
>>> Flinksters,
>>>
>>> Is there an example of saving a Trained Model, loading a Trained Model
>>> and then scoring one or more feature vectors using Flink ML?
>>>
>>> All of the examples I've seen have shown only sequential fit and predict.
>>>
>>> Thank you.
>>>
>>> -Gna
>>> --
>>>
>>>
>>> *Gna Phetsarath*System Architect // AOL Platforms // Data Services //
>>> Applied Research Chapter
>>> 770 Broadway, 5th Floor, New York, NY 10003
>>> o: 212.402.4871 // m: 917.373.7363
>>> vvmr: 8890237 aim: sphetsarath20 t: @sourigna
>>>
>>> * <http://www.aolplatforms.com>*
>>>
>>
>>
>
--
*Gna Phetsarath*System Architect // AOL Platforms // Data Services //
Applied Research Chapter
770 Broadway, 5th Floor, New York, NY 10003
o: 212.402.4871 // m: 917.373.7363
vvmr: 8890237 aim: sphetsarath20 t: @sourigna
* <http://www.aolplatforms.com>*
