PrefixSpan on sequential data, by passing a sliding
>>>>>> window over it. Spark Streaming is not an option.
>>>>>> RDDFunctions.sliding() returns an item of class RDD,
>>>>>>
a sliding
>>>>> window over it. Spark Streaming is not an option.
>>>>> RDDFunctions.sliding() returns an item of class RDD,
>>>>> regardless of the original type of the RDD. Because of this, the
>>>>> returned item seems to be prett
gt;> regardless of the original type of the RDD. Because of this, the
>>>> returned item seems to be pretty much worthless.
>>>> Is this a bug/nyi? Is there a way to circumvent this somehow?
>>>>
>>>> O
the
>>> returned item seems to be pretty much worthless.
>>> Is this a bug/nyi? Is there a way to circumvent this somehow?
>>>
>>> Official docs:
>>> https://spark.apache.org/docs/1.6.0/api/java/org/apache/spark/mllib/
em seems to be pretty much worthless.
>> Is this a bug/nyi? Is there a way to circumvent this somehow?
>>
>> Official docs:
>> https://spark.apache.org/docs/1.6.0/api/java/org/apache/spark/mllib/rdd/RDDFunctions.html
>>
>> Thanks
>>
>> ___
;
> Thanks
>
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> View this message in context: Java: Return type of RDDFunctions.sliding(int,
> int)
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Hello,
We're trying to use PrefixSpan on sequential data, by passing a sliding
window over it. Spark Streaming is not an option.
RDDFunctions.sliding() returns an item of class RDD,
regardless of the original type of the RDD. Because of this, the
returned item seems to be pretty much worthless.
