Jorge
Jorge
same issue !
> @eshu Did you try `include required("basic.conf")`? I tried that ! Did not work
Hi Cloudera, For Example one ML Model that allows us to make forecasting with ARIMA. For Example with the Data : 03.01.15;22:30;236,25 03.01.15;22:15;240 04.01.15;16:00;243,775 create a Arima model and predict...
Hi sryra, sorry for the late reply. Thanks for the ARIMA example. I tryed with your test data now I will try with my data. There are some Bugs in...
and another thing: The stocks example does not work on my console (I didn´t debug it) but : scala> ZonedDateTime.parse("2015-09-22") java.time.format.DateTimeParseException: Text '2015-09-22' could not be parsed at index 10
@anshulemc : import org.apache.spark.mllib.linalg.Vectors val ts = Vectors.dense(lines.map(_.toDouble).toArray)
I´m no Java expert but: Have you try not to Cast it but to create the dv with the mllib DenseVector. From your code I read that you are already...
Here is the error message from SQL:  I assume that data bricks returns a row with the message but it should return a Error
With MV you mean Materialized View ?