Hi Pseudo,
Just use unittest https://docs.python.org/2/library/unittest.html .
> On 8 Dec 2016, at 19:14, pseudo oduesp wrote:
>
> somone can tell me how i can make unit test on pyspark ?
> (book, tutorial ...)
Hi MoTao,
What about broadcasting the model?
Cheers,
Ndjido.
> On 08 Aug 2016, at 11:00, MoTao wrote:
>
> Hi all,
>
> I'm trying to append a column to a df.
> I understand that the new column must be created by
> 1) using literals,
> 2) transforming an
Hi Pseudo,
try this :
export SPARK_SUBMIT_OPTIONS = "--jars spark-csv_2.10-1.4.0.jar,
commons-csv-1.1.jar"
this have been working for me for a longtime ;-) both in Zeppelin(for Spark
Scala) and Ipython Notebook (for PySpark).
cheers,
Ardo
On Mon, Jul 25, 2016 at 1:28 PM, pseudo oduesp
w
Just apply Lift = Recall / Support formula with respect to a given threshold on
your population distribution. The computation is quite straightforward.
Cheers,
Ardo
> On 20 Jul 2016, at 15:05, pseudo oduesp wrote:
>
> Hi ,
> how we can claculate lift coeff from pyspark result of prediction ?
Hi guy!
I'm afraid you have to loop...The update of the Logical Plan is getting faster
on Spark.
Cheers,
Ardo.
Sent from my iPhone
> On 26 Jun 2016, at 14:20, pseudo oduesp wrote:
>
> Hi who i can add multiple columns to data frame
>
> withcolumns allow to add one columns but when you h
To answer more accurately to your question, the model.fit(df) method takes
in a DataFrame of Row(label=double, feature=Vectors.dense([...])) .
cheers,
Ardo.
On Tue, Jun 21, 2016 at 6:44 PM, Ndjido Ardo BAR wrote:
> Hi,
>
> You can use a RDD of LabelPoints to fit your model. Check th
Hi,
You can use a RDD of LabelPoints to fit your model. Check the doc for more
example :
http://spark.apache.org/docs/latest/api/python/pyspark.ml.html?highlight=transform#pyspark.ml.classification.RandomForestClassificationModel.transform
cheers,
Ardo.
On Tue, Jun 21, 2016 at 6:12 PM, pseudo od
Sure! Check the following working example :
https://github.com/h2oai/qcon2015/tree/master/05-spark-streaming/ask-craig-streaming-app
Cheers.
Ardo
Sent from my iPhone
> On 05 May 2016, at 17:26, diplomatic Guru wrote:
>
> Hello all, I was wondering if it is possible to use H2O with Spark Str
You can user the BinaryClassificationEvaluator class to get both predicted
classes (0/1) and probabilities. Check the following spark doc
https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html .
Cheers,
Ardo
Sent from my iPhone
> On 05 May 2016, at 07:59, colin wrote:
>
> In 2-
This can help:
import org.apache.spark.sql.DataFrame
def prefixDf(dataFrame: DataFrame, prefix: String): DataFrame = {
val colNames = dataFrame.columns
colNames.foldLeft(dataFrame){
(df, colName) => {
df.withColumnRenamed(colName, s"${prefix}_${colName}")
}
}
}
Hi Didier,
I think with PySpark you can wrap your legacy Python functions into UDFs
and use it in your DataFrames. But you have to use DataFrames instead of
RDD.
cheers,
Ardo
On Mon, Apr 18, 2016 at 7:13 PM, didmar wrote:
> Hi,
>
> I have a Spark project in Scala and I would like to call some
What's the size of your driver?
On Sat, 9 Apr 2016 at 20:33, Buntu Dev wrote:
> Actually, df.show() works displaying 20 rows but df.count() is the one
> which is causing the driver to run out of memory. There are just 3 INT
> columns.
>
> Any idea what could be the reason?
>
> On Sat, Apr 9, 2016
You seem to have a lot of column :-) !
df.count() displays the size of your data frame.
df.columns.size() the number of columns.
Finally, I suggest you check the size of your drive and customize it
accordingly.
Cheers,
Ardo
Sent from my iPhone
> On 09 Apr 2016, at 19:37, bdev wrote:
>
>
Hi folks,
KeystoneML has some image processing features:
http://keystone-ml.org/examples.html
Cheers,
Ardo
Sent from my iPhone
> On 22 Feb 2016, at 14:34, Sainath Palla wrote:
>
> Here is one simple example of Image classification in Java.
>
> http://blogs.quovantis.com/image-classificati
Hi Viktor,
Try to create a UDF. It's quite simple!
Ardo.
> On 10 Feb 2016, at 10:34, Viktor ARDELEAN wrote:
>
> Hello,
>
> I want to add a new String column to the dataframe based on an existing
> column values:
>
> from pyspark.sql.functions import lit
> df.withColumn('strReplaced', lit(d
Hi folks,
On Spark 1.6.0, I submitted 2 lines of code via spark-shell in Yarn-client mode:
1) sc.parallelize(Array(1,2,3,3,3,3,4)).collect()
2) sc.parallelize(Array(1,2,3,3,3,3,4)).map( x => (x, 1)).collect()
1) works well whereas 2) raises the following exception:
Driver stacktrace:
keyStoneML could be an alternative.
Ardo.
> On 03 Jan 2016, at 15:50, Arunkumar Pillai wrote:
>
> Is there any road map for glm in pipeline?
Please send your call stack with the full description of the exception .
> On 10 Dec 2015, at 12:10, Бобров Виктор wrote:
>
> Hi, I can’t filter my rdd.
>
> def filter1(tp: ((Array[String], Int), (Array[String], Int))): Boolean= {
> tp._1._2 > tp._2._2
> }
> val mail_rdd = sc.parallelize(A.t
Hi Michal,
I think the following link could interest you. You gonna find there a lot
of examples!
http://homepage.cs.latrobe.edu.au/zhe/ZhenHeSparkRDDAPIExamples.html
cheers,
Ardo
On Fri, Dec 4, 2015 at 2:31 PM, Michal Klos wrote:
> http://spark.apache.org/docs/latest/programming-guide.html#r
Thanks for the clarification. Gonna test that and give you feedbacks.
Ndjido
On Tue, 1 Dec 2015 at 19:29, Joseph Bradley wrote:
> You can do grid search if you set the evaluator to a
> MulticlassClassificationEvaluator, which expects a prediction column, not a
> rawPrediction column.
Hi Benjamin,
Thanks, the documentation you sent is clear.
Is there any other way to perform a Grid Search with GBT?
Ndjido
On Tue, 1 Dec 2015 at 08:32, Benjamin Fradet
wrote:
> Hi Ndjido,
>
> This is because GBTClassifier doesn't yet have a rawPredictionCol like
> the. Rando
>
> On Thu, Nov 26, 2015 at 12:53 PM, Ndjido Ardo Bar
> wrote:
>
>>
>> Hi folks,
>>
>> Does anyone know whether the Grid Search capability is enabled since the
>> issue spark-9011 of version 1.4.0 ? I'm getting the "rawPredictionCol
>>
յան
>
> On 29 November 2015 at 20:51, Ndjido Ardo BAR wrote:
>
>> Masf, the following link sets the basics to start debugging your spark
>> apps in local mode:
>>
>>
>> https://medium.com/large-scale-data-processing/how-to-kick-start-spark-development-on-int
rdo
>
>
> Some tutorial to debug with Intellij?
>
> Thanks
>
> Regards.
> Miguel.
>
>
> On Sun, Nov 29, 2015 at 5:32 PM, Ndjido Ardo BAR wrote:
>
>> hi,
>>
>> IntelliJ is just great for that!
>>
>> cheers,
>> Ardo.
>>
>>
hi,
IntelliJ is just great for that!
cheers,
Ardo.
On Sun, Nov 29, 2015 at 5:18 PM, Masf wrote:
> Hi
>
> Is it possible to debug spark locally with IntelliJ or another IDE?
>
> Thanks
>
> --
> Regards.
> Miguel Ángel
>
Hi folks,
Does anyone know whether the Grid Search capability is enabled since the issue
spark-9011 of version 1.4.0 ? I'm getting the "rawPredictionCol column doesn't
exist" when trying to perform a grid search with Spark 1.4.0.
Cheers,
Ardo
--
Hi Kali,
If I do understand you well, Tachyon ( http://tachyon-project.org) can be good
alternative. You can use Spark Api to load and persist data into Tachyon.
Hope that will help.
Ardo
> On 17 Oct 2015, at 15:28, "kali.tumm...@gmail.com"
> wrote:
>
> Hi All,
>
> Can spark be used as a
Hi Masoom Alam,
I successfully experimented the following project on Github
https://github.com/erisa85/WikiSparkJobServer . I do recommand it to you.
cheers,
Ardo.
On Thu, Sep 24, 2015 at 5:20 PM, masoom alam
wrote:
> Hi everyone
>
> I am new to Scala. I have a written an application using sca
Hi Nibiau,
Hbase seems to be a good solution to your problems. As you may know storing
yours messages as a key-value pairs in Hbase saves you the overhead of manually
resizing blocks of data using zip files.
The added advantage along with the fact that Hbase uses HDFS for storage, is
the capab
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