It depends on Algorithm you use
NaiveBayesModel has predictProbabilities method to work dirrectly with
probabilites
the LogisiticRegresionModel and SVMModel clearThreshold() will make predict
method returns probabilites as mentioned above
On Thu, Feb 11, 2016 at 11:17 AM, Sonal Goyal <sonalgoy...@gmail.com> wrote:
> Looks like you are doing binary classification and you are getting the
> label out. If you clear the model threshold, you should be able to get the
> raw score.
> On Feb 11, 2016 1:32 PM, "Chandan Verma" <chandan.ve...@citiustech.com>
> wrote:
>
>>
>>
>> Following is the code Snippet
>>
>>
>>
>>
>>
>> JavaRDD<Tuple2<Object, Object>> predictionAndLabels = data
>>
>> .map(new
>> Function<LabeledPoint, Tuple2<Object, Object>>() {
>>
>>
>> public Tuple2<Object, Object> call(LabeledPoint p) {
>>
>>
>> Double prediction = sameModel.predict(p.features());
>>
>>
>> return new Tuple2<Object, Object>(prediction, p.label());
>>
>>
>> }
>>
>> });
>>
>>
>>
>> The line "sameModel.predict(p.features());" gives me the prediction as
>> double value (eg 0.0 or 1.0) .
>>
>> How can i get the prediction value with more digits after decimal
>> point.eg 0.23443333 etc
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>
