[GitHub] [spark] huaxingao commented on issue #27337: [SPARK-30545][ML][PYSPARK] Impl Extremely Randomized Trees

2020-01-24 Thread GitBox
huaxingao commented on issue #27337: [SPARK-30545][ML][PYSPARK] Impl Extremely 
Randomized Trees
URL: https://github.com/apache/spark/pull/27337#issuecomment-578382984
 
 
   @zhengruifeng 
   I took a quick look of how the random split is picked.
   
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.65.7485&rep=rep1&type=pdf
   
   
![image](https://user-images.githubusercontent.com/13592258/73117398-e18b4100-3ef9-11ea-80a6-09f94398e215.png)
   
   
   It seems to me that in the paper, the random threshold is found by sampling 
from the continuous uniform distribution [min(feature), max(feature)]. Seems to 
me that in your implementation, the random threshold is sampled uniformly (and 
discretely) from the set of possible splits generated by findSplits(). I know 
your way is simpler, but I am not sure if it is close enough to the original 
method in the paper. 


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[GitHub] [spark] dongjoon-hyun commented on issue #23797: [SPARK-26856][PYSPARK] Python support for from_avro and to_avro APIs

2020-01-24 Thread GitBox
dongjoon-hyun commented on issue #23797: [SPARK-26856][PYSPARK] Python support 
for from_avro and to_avro APIs
URL: https://github.com/apache/spark/pull/23797#issuecomment-578381587
 
 
   Hi, @javadi82 . This is a new feature of 3.0.0. You can see `Fix Version/s` 
field.
   - https://issues.apache.org/jira/browse/SPARK-26856
   
   Please try in `3.0.0-preview2`.
   ```
   Welcome to
   __
/ __/__  ___ _/ /__
   _\ \/ _ \/ _ `/ __/  '_/
  /__ / .__/\_,_/_/ /_/\_\   version 3.0.0-preview2
 /_/
   
   Using Python version 3.7.6 (default, Jan 10 2020 13:37:46)
   SparkSession available as 'spark'.
   >>> from pyspark.sql.avro.functions import from_avro, to_avro
   >>>
   ```


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[GitHub] [spark] dongjoon-hyun closed pull request #26978: [SPARK-29721][SQL] Prune unnecessary nested fields from Generate without Project

2020-01-24 Thread GitBox
dongjoon-hyun closed pull request #26978: [SPARK-29721][SQL] Prune unnecessary 
nested fields from Generate without Project
URL: https://github.com/apache/spark/pull/26978
 
 
   


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[GitHub] [spark] zhengruifeng commented on issue #27337: [SPARK-30545][ML][PYSPARK] Impl Extremely Randomized Trees

2020-01-24 Thread GitBox
zhengruifeng commented on issue #27337: [SPARK-30545][ML][PYSPARK] Impl 
Extremely Randomized Trees
URL: https://github.com/apache/spark/pull/27337#issuecomment-578380729
 
 
   friendly ping @srowen @huaxingao @imatiach-msft 


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] SparkQA commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

2020-01-24 Thread GitBox
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[GitHub] [spark] dongjoon-hyun commented on issue #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

2020-01-24 Thread GitBox
dongjoon-hyun commented on issue #27349: [SPARK-30617][SQL] Stop check values 
of spark.sql.catalogImplementation to improve expansibility
URL: https://github.com/apache/spark/pull/27349#issuecomment-578376020
 
 
   Thank you, @WeiWenda .


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[GitHub] [spark] WeiWenda commented on issue #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

2020-01-24 Thread GitBox
WeiWenda commented on issue #27349: [SPARK-30617][SQL] Stop check values of 
spark.sql.catalogImplementation to improve expansibility
URL: https://github.com/apache/spark/pull/27349#issuecomment-578375377
 
 
   > BTW, if you agree with `CatalogPlugin` in 3.0.0, could you close the PR 
and JIRA please?
   
   All right, we will waiting for spark 3.0.0. Thank you anyway.


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[GitHub] [spark] WeiWenda closed pull request #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

2020-01-24 Thread GitBox
WeiWenda closed pull request #27349: [SPARK-30617][SQL] Stop check values of 
spark.sql.catalogImplementation to improve expansibility
URL: https://github.com/apache/spark/pull/27349
 
 
   


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[GitHub] [spark] dongjoon-hyun commented on issue #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

2020-01-24 Thread GitBox
dongjoon-hyun commented on issue #27349: [SPARK-30617][SQL] Stop check values 
of spark.sql.catalogImplementation to improve expansibility
URL: https://github.com/apache/spark/pull/27349#issuecomment-578375009
 
 
   BTW, if you agree with `CatalogPlugin` in 3.0.0, could you close the PR and 
JIRA please?


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

2020-01-24 Thread GitBox
dongjoon-hyun edited a comment on issue #27349: [SPARK-30617][SQL] Stop check 
values of spark.sql.catalogImplementation to improve expansibility
URL: https://github.com/apache/spark/pull/27349#issuecomment-578374865
 
 
   According to the plan, we will proceed `feature freeze` first by creating 
`branch-3.0` in this month.
   - https://spark.apache.org/versioning-policy.html
   
   Then, QA period will be started. For major version, it takes some time.
   
   In any way, your patch cannot be released faster than 3.0.0 because new 
feature is not backported to `branch-2.4`. (`2.4.5 RC1` vote was held last week 
and we are receiving some more correctness patches. `2.4.5 RC2` vote will start 
soon. `2.4.5` will be released before `3.0.0`.)


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

2020-01-24 Thread GitBox
dongjoon-hyun edited a comment on issue #27349: [SPARK-30617][SQL] Stop check 
values of spark.sql.catalogImplementation to improve expansibility
URL: https://github.com/apache/spark/pull/27349#issuecomment-578374865
 
 
   According to the plan, we will proceed `feature freeze` first by creating 
`branch-3.0` in this month.
   - https://spark.apache.org/versioning-policy.html
   
   Then, QA period will be started. For major version, it takes some time.
   
   In any way, your patch cannot be released faster than 3.0.0 because new 
feature is not backported to `branch-2.4`. `2.4.5 RC1` vote was held last week 
and we are receiving some more correctness patches. `2.4.5 RC2` vote will start 
soon.


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[GitHub] [spark] dongjoon-hyun commented on issue #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

2020-01-24 Thread GitBox
dongjoon-hyun commented on issue #27349: [SPARK-30617][SQL] Stop check values 
of spark.sql.catalogImplementation to improve expansibility
URL: https://github.com/apache/spark/pull/27349#issuecomment-578374865
 
 
   According to the plan, we will proceed `feature freeze` first by creating 
`branch-3.0` in this month.
   - https://spark.apache.org/versioning-policy.html
   
   Then, QA period will be started. For major version, it takes some time.
   
   In any way, your patch cannot be released faster than that because new 
feature is not backported to `branch-2.4`. `2.4.5 RC1` vote was held last week 
and we are receiving some more correctness patches. `2.4.5 RC2` vote will start 
soon.


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #27330: [SPARK-30630][ML] Remove numTrees in GBT in 3.0.0

2020-01-24 Thread GitBox
dongjoon-hyun edited a comment on issue #27330: [SPARK-30630][ML] Remove 
numTrees in GBT in 3.0.0
URL: https://github.com/apache/spark/pull/27330#issuecomment-578374658
 
 
   It's not late. Thank you, @zhengruifeng . :)


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[GitHub] [spark] dongjoon-hyun commented on issue #27330: [SPARK-30630][ML] Remove numTrees in GBT in 3.0.0

2020-01-24 Thread GitBox
dongjoon-hyun commented on issue #27330: [SPARK-30630][ML] Remove numTrees in 
GBT in 3.0.0
URL: https://github.com/apache/spark/pull/27330#issuecomment-578374658
 
 
   Never late~ Thank you, @zhengruifeng . :)


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[GitHub] [spark] SparkQA commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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URL: https://github.com/apache/spark/pull/26440#issuecomment-578374090
 
 
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[GitHub] [spark] javadi82 edited a comment on issue #23797: [SPARK-26856][PYSPARK] Python support for from_avro and to_avro APIs

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javadi82 edited a comment on issue #23797: [SPARK-26856][PYSPARK] Python 
support for from_avro and to_avro APIs
URL: https://github.com/apache/spark/pull/23797#issuecomment-578373490
 
 
   Sorry for the newbie question: Which package should I include so that these 
functions are available ?
   
   I tried this: pyspark --packages org.apache.spark:spark-avro_2.12:2.4.4
   ```
   from pyspark.sql.avro.functions import from_avro, to_avro
   ImportError: No module named avro.functions
   
   import pyspark.sql.avro.functions
   Traceback (most recent call last):
 File "", line 1, in 
   ImportError: No module named avro.functions```


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[GitHub] [spark] javadi82 edited a comment on issue #23797: [SPARK-26856][PYSPARK] Python support for from_avro and to_avro APIs

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javadi82 edited a comment on issue #23797: [SPARK-26856][PYSPARK] Python 
support for from_avro and to_avro APIs
URL: https://github.com/apache/spark/pull/23797#issuecomment-578373490
 
 
   Sorry for the newbie question: Which package should I include so that these 
functions are available ?
   
   I tried this:
   ```pyspark --packages org.apache.spark:spark-avro_2.12:2.4.4
   from pyspark.sql.avro.functions import from_avro, to_avro
   ImportError: No module named avro.functions
   
   import pyspark.sql.avro.functions
   Traceback (most recent call last):
 File "", line 1, in 
   ImportError: No module named avro.functions```


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[GitHub] [spark] javadi82 commented on issue #23797: [SPARK-26856][PYSPARK] Python support for from_avro and to_avro APIs

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javadi82 commented on issue #23797: [SPARK-26856][PYSPARK] Python support for 
from_avro and to_avro APIs
URL: https://github.com/apache/spark/pull/23797#issuecomment-578373490
 
 
   Sorry for the newbie question: Which package should I include so that these 
functions are available ?
   
   I tried this:
   pyspark --packages org.apache.spark:spark-avro_2.12:2.4.4
   >>> from pyspark.sql.avro.functions import from_avro, to_avro
   ImportError: No module named avro.functions
   
   >>> import pyspark.sql.avro.functions
   Traceback (most recent call last):
 File "", line 1, in 
   ImportError: No module named avro.functions


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[GitHub] [spark] zhengruifeng commented on issue #27330: [SPARK-30630][ML] Remove numTrees in GBT in 3.0.0

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zhengruifeng commented on issue #27330: [SPARK-30630][ML] Remove numTrees in 
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   Sorry to come late. LGTM


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[GitHub] [spark] WeiWenda commented on issue #27349: [SPARK-30617][SQL] Stop check values of spark.sql.catalogImplementation to improve expansibility

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WeiWenda commented on issue #27349: [SPARK-30617][SQL] Stop check values of 
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   Yeah, i noticed your SPARK-17767, you are foresight and responsible. I just 
look at https://github.com/apache/spark/pull/23915, it can solve our problem 
more gently. Is spark 3.0.0 will release in recent month?


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[GitHub] [spark] AmplabJenkins commented on issue #16478: [SPARK-7768][SQL] Revise user defined types (UDT)

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[GitHub] [spark] AmplabJenkins commented on issue #16478: [SPARK-7768][SQL] Revise user defined types (UDT)

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[GitHub] [spark] SparkQA removed a comment on issue #16478: [SPARK-7768][SQL] Revise user defined types (UDT)

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SparkQA removed a comment on issue #16478: [SPARK-7768][SQL] Revise user 
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URL: https://github.com/apache/spark/pull/16478#issuecomment-578340382
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] SparkQA commented on issue #16478: [SPARK-7768][SQL] Revise user defined types (UDT)

2020-01-24 Thread GitBox
SparkQA commented on issue #16478: [SPARK-7768][SQL] Revise user defined types 
(UDT)
URL: https://github.com/apache/spark/pull/16478#issuecomment-578367082
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

2020-01-24 Thread GitBox
SparkQA removed a comment on issue #26440: [SPARK-20628][CORE][K8S] Start to 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] AmplabJenkins commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] SparkQA commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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SparkQA commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve 
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URL: https://github.com/apache/spark/pull/26440#issuecomment-578366913
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] SparkQA commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] AmplabJenkins commented on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26440: [SPARK-20628][CORE][K8S] Start to improve Spark decommissioning & preemption support

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[GitHub] [spark] AmplabJenkins commented on issue #27359: [WIP][SPARK-23435][SPARKR][TESTS] Update testthat to >= 2.0.0

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