Re: logging pickle files on local run of spark.ml Pipeline model

2023-03-15 Thread Sean Owen
Pickle won't work. But the others should. I think you are specifying an
invalid path in both cases but hard to say without more detail

On Wed, Mar 15, 2023, 9:13 AM Mnisi, Caleb 
wrote:

> Good Day
>
>
>
> I am having trouble saving a spark.ml Pipeline model to a pickle file,
> when running locally on my PC.
>
> I’ve tried a few ways to save the model:
>
>1. mlflow.spark.log_model(artifact_path=experiment.artifact_location,
>spark_model= model, registered_model_name="myModel")
>   1. with error that the spark model is multiple files
>2. pickle.dump(model, file): with error - TypeError: cannot pickle
>'_thread.RLock' object
>3. model.save(‘path’): with Java errors:
>   1. at
>   
> org.apache.hadoop.mapred.OutputCommitter.commitJob(OutputCommitter.java:291)
>   2. at
>   
> org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:182)
>   3. at
>   
> org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:99)
>   ... 67 more
>
>
>
> Your assistance on this would be much appreciated.
>
> Regards,
>
>
>
> *Caleb Mnisi*
>
> Consultant | Deloitte Analytics | Cognitive Advantage
>
> Deloitte & Touche
>
> 5th floor, 5 Magwa Crescent, Waterfall City, 2090
>
> M: +27 72 170 8779
>
> *cmn...@deloitte.co.za * | www2.deloitte.com/za
> 
>
>
>
>
>
> Please consider the environment before printing.
>
>
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logging pickle files on local run of spark.ml Pipeline model

2023-03-15 Thread Mnisi, Caleb
Good Day

I am having trouble saving a spark.ml Pipeline model to a pickle file, when 
running locally on my PC.
I've tried a few ways to save the model:

  1.  mlflow.spark.log_model(artifact_path=experiment.artifact_location, 
spark_model= model, registered_model_name="myModel")
 *   with error that the spark model is multiple files
  2.  pickle.dump(model, file): with error - TypeError: cannot pickle 
'_thread.RLock' object
  3.  model.save('path'): with Java errors:
 *   at 
org.apache.hadoop.mapred.OutputCommitter.commitJob(OutputCommitter.java:291)
 *   at 
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:182)
 *   at 
org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:99)
 ... 67 more

Your assistance on this would be much appreciated.
Regards,

Caleb Mnisi
Consultant | Deloitte Analytics | Cognitive Advantage
Deloitte & Touche
5th floor, 5 Magwa Crescent, Waterfall City, 2090
M: +27 72 170 8779
cmn...@deloitte.co.za | 
www2.deloitte.com/za

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Please consider the environment before printing.

*Disclaimer:* This email is subject to important restrictions, qualifications 
and disclaimers ("the Disclaimer") that must be accessed and read by visiting 
our website and viewing the webpage at the following address: 
http://www.deloitte.com/za/disclaimer. The Disclaimer forms part of the content 
of this email. If you cannot access the Disclaimer, please obtain a copy 
thereof from us by sending an email to zaitserviced...@deloitte.co.za. Deloitte 
refers to a Deloitte member firm, one of its related entities, or Deloitte 
Touche Tohmatsu Limited ("DTTL"). Each Deloitte member firm is a separate legal 
entity and a member of DTTL. DTTL does not provide services to clients. Please 
see www.deloitte.com/about to learn more.