[GitHub] spark issue #19152: [SPARK-21915][ML][PySpark] Model 1 and Model 2 ParamMaps...
Github user marktab commented on the issue: https://github.com/apache/spark/pull/19152 @srowen -- may I close this pull request? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #19152: [SPARK-21915][ML][PySpark] Model 1 and Model 2 Pa...
GitHub user marktab reopened a pull request:
https://github.com/apache/spark/pull/19152
[SPARK-21915][ML][PySpark] Model 1 and Model 2 ParamMaps Missing
@dongjoon-hyun @HyukjinKwon
Error in PySpark example code:
/examples/src/main/python/ml/estimator_transformer_param_example.py
The original Scala code says
println("Model 2 was fit using parameters: " +
model2.parent.extractParamMap)
The parent is lr
There is no method for accessing parent as is done in Scala.
This code has been tested in Python, and returns values consistent with
Scala
## What changes were proposed in this pull request?
Proposing to call the lr variable instead of model1 or model2
## How was this patch tested?
This patch was tested with Spark 2.1.0 comparing the Scala and PySpark
results. Pyspark returns nothing at present for those two print lines.
The output for model2 in PySpark should be
{Param(parent='LogisticRegression_4187be538f744d5a9090', name='tol',
doc='the convergence tolerance for iterative algorithms (>= 0).'): 1e-06,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='elasticNetParam', doc='the ElasticNet mixing parameter, in range [0, 1].
For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1
penalty.'): 0.0,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='predictionCol', doc='prediction column name.'): 'prediction',
Param(parent='LogisticRegression_4187be538f744d5a9090', name='featuresCol',
doc='features column name.'): 'features',
Param(parent='LogisticRegression_4187be538f744d5a9090', name='labelCol',
doc='label column name.'): 'label',
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='probabilityCol', doc='Column name for predicted class conditional
probabilities. Note: Not all models output well-calibrated probability
estimates! These probabilities should be treated as confidences, not precise
probabilities.'): 'myProbability',
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='rawPredictionCol', doc='raw prediction (a.k.a. confidence) column
name.'): 'rawPrediction',
Param(parent='LogisticRegression_4187be538f744d5a9090', name='family',
doc='The name of family which is a description of the label distribution to be
used in the model. Supported options: auto, binomial, multinomial'): 'auto',
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='fitIntercept', doc='whether to fit an intercept term.'): True,
Param(parent='LogisticRegression_4187be538f744d5a9090', name='threshold',
doc='Threshold in binary classification prediction, in range [0, 1]. If
threshold and thresholds are both set, they must match.e.g. if threshold is p,
then thresholds must be equal to [1-p, p].'): 0.55,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='aggregationDepth', doc='suggested depth for treeAggregate (>= 2).'): 2,
Param(parent='LogisticRegression_4187be538f744d5a9090', name='maxIter',
doc='max number of iterations (>= 0).'): 30,
Param(parent='LogisticRegression_4187be538f744d5a9090', name='regParam',
doc='regularization parameter (>= 0).'): 0.1,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='standardization', doc='whether to standardize the training features
before fitting the model.'): True}
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marktab/spark branch-2.2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19152.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #19152
commit a2ccb8a83d13d39c95f0ac1cac1c74dca064
Author: MarkTab marktab.net <mark...@users.noreply.github.com>
Date: 2017-09-07T02:20:59Z
Model 1 and Model 2 ParamMaps Missing
@dongjoon-hyun @HyukjinKwon
Error in PySpark example code:
[https://github.com/apache/spark/blob/master/examples/src/main/python/ml/estimator_transformer_param_example.py]
The original Scala code says
println("Model 2 was fit using parameters: " +
model2.parent.extractParamMap)
The parent is lr
There is no method for accessing parent as is done in Scala.
This code has been tested in Python, and returns values consistent with
Scala
---
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To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #19152: [SPARK-21915][ML][PySpark] Model 1 and Model 2 Pa...
Github user marktab closed the pull request at: https://github.com/apache/spark/pull/19152 --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #19152: [SPARK-21915][ML][PySpark] Model 1 and Model 2 Pa...
GitHub user marktab opened a pull request:
https://github.com/apache/spark/pull/19152
[SPARK-21915][ML][PySpark] Model 1 and Model 2 ParamMaps Missing
@dongjoon-hyun @HyukjinKwon
Error in PySpark example code:
/examples/src/main/python/ml/estimator_transformer_param_example.py
The original Scala code says
println("Model 2 was fit using parameters: " +
model2.parent.extractParamMap)
The parent is lr
There is no method for accessing parent as is done in Scala.
This code has been tested in Python, and returns values consistent with
Scala
## What changes were proposed in this pull request?
Proposing to call the lr variable instead of model1 or model2
## How was this patch tested?
This patch was tested with Spark 2.1.0 comparing the Scala and PySpark
results. Pyspark returns nothing at present for those two print lines.
The output for model2 in PySpark should be
{Param(parent='LogisticRegression_4187be538f744d5a9090', name='tol',
doc='the convergence tolerance for iterative algorithms (>= 0).'): 1e-06,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='elasticNetParam', doc='the ElasticNet mixing parameter, in range [0, 1].
For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1
penalty.'): 0.0,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='predictionCol', doc='prediction column name.'): 'prediction',
Param(parent='LogisticRegression_4187be538f744d5a9090', name='featuresCol',
doc='features column name.'): 'features',
Param(parent='LogisticRegression_4187be538f744d5a9090', name='labelCol',
doc='label column name.'): 'label',
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='probabilityCol', doc='Column name for predicted class conditional
probabilities. Note: Not all models output well-calibrated probability
estimates! These probabilities should be treated as confidences, not precise
probabilities.'): 'myProbability',
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='rawPredictionCol', doc='raw prediction (a.k.a. confidence) column
name.'): 'rawPrediction',
Param(parent='LogisticRegression_4187be538f744d5a9090', name='family',
doc='The name of family which is a description of the label distribution to be
used in the model. Supported options: auto, binomial, multinomial'): 'auto',
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='fitIntercept', doc='whether to fit an intercept term.'): True,
Param(parent='LogisticRegression_4187be538f744d5a9090', name='threshold',
doc='Threshold in binary classification prediction, in range [0, 1]. If
threshold and thresholds are both set, they must match.e.g. if threshold is p,
then thresholds must be equal to [1-p, p].'): 0.55,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='aggregationDepth', doc='suggested depth for treeAggregate (>= 2).'): 2,
Param(parent='LogisticRegression_4187be538f744d5a9090', name='maxIter',
doc='max number of iterations (>= 0).'): 30,
Param(parent='LogisticRegression_4187be538f744d5a9090', name='regParam',
doc='regularization parameter (>= 0).'): 0.1,
Param(parent='LogisticRegression_4187be538f744d5a9090',
name='standardization', doc='whether to standardize the training features
before fitting the model.'): True}
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marktab/spark branch-2.2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19152.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #19152
commit a2ccb8a83d13d39c95f0ac1cac1c74dca064
Author: MarkTab marktab.net <mark...@users.noreply.github.com>
Date: 2017-09-07T02:20:59Z
Model 1 and Model 2 ParamMaps Missing
@dongjoon-hyun @HyukjinKwon
Error in PySpark example code:
[https://github.com/apache/spark/blob/master/examples/src/main/python/ml/estimator_transformer_param_example.py]
The original Scala code says
println("Model 2 was fit using parameters: " +
model2.parent.extractParamMap)
The parent is lr
There is no method for accessing parent as is done in Scala.
This code has been tested in Python, and returns values consistent with
Scala
---
-
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19126: [SPARK-21915][ML][PySpark]Model 1 and Model 2 ParamMaps ...
Github user marktab commented on the issue: https://github.com/apache/spark/pull/19126 @srowen since I am a new to this review process, should I be seeing the change at http://spark.apache.org/docs/latest/ml-pipeline.html --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #19126: [SPARK-21915][ML][PySpark]Model 1 and Model 2 Par...
Github user marktab closed the pull request at: https://github.com/apache/spark/pull/19126 --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19126: [SPARK-21915][ML][PySpark]Model 1 and Model 2 ParamMaps ...
Github user marktab commented on the issue: https://github.com/apache/spark/pull/19126 Thanks @srowen --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #19126: Model 1 and Model 2 ParamMaps Missing
GitHub user marktab opened a pull request:
https://github.com/apache/spark/pull/19126
Model 1 and Model 2 ParamMaps Missing
The original Scala code says
println("Model 2 was fit using parameters: " +
model2.parent.extractParamMap)
The parent is lr
There is no method for accessing parent as is done in Scala.
This code has been tested in Python, and returns values consistent with
Scala
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration
tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise,
remove this)
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marktab/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19126.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #19126
commit 76e5da7b14d71338cf82352e9cf5628640e732a2
Author: MarkTab marktab.net <mark...@users.noreply.github.com>
Date: 2017-09-05T03:26:07Z
Model 1 and Model 2 ParamMaps Missing
The original Scala code says
println("Model 2 was fit using parameters: " +
model2.parent.extractParamMap)
The parent is lr
There is no method for accessing parent as is done in Scala.
This code has been tested in Python, and returns values consistent with
Scala
---
-
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
Re: [R] trouble with uninstall
Hello I had the same problem today. Error Message: This Installation can only be uninstalled on 64-bit Windows. Computer System: Windows 7 Enterprise SP1 32-bit R Version attempted: R 2.13.1 (installed as part of the R and Friends package from http://rcom.univie.ac.at/download.html) I have R 2.12.0 successfully running on another machine using Windows 7 64-bit. The reason I tried to uninstall is because the installation hanged at a certain point. I went down the basic path of R installation only. Since installation was unsuccessful, I logged off and tried again a few times. Then, when I tried to uninstall, the software gave an error message. I believe version 2.13.1 for Windows was packaged incorrectly, thus causing both installation and uninstallation problems. It is possible to uninstall manually. If someone knows of a fix to this installation or uninstallation problem, please post to this thread (which might help other people who have the same problem). My resolution will be to drop back to an earlier version of R, and then wait for another future version beyond 2.13.1 -- sad that this particular build has some flaws - Mark Tabladillo Data Mining Architect Microsoft MVP; SAS Developer http://www.marktab.net -- View this message in context: http://r.789695.n4.nabble.com/trouble-with-uninstall-tp3694855p3725426.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [Freeswitch-users] Problem dialing out via E1
We're a couple more steps forward from yesterday. Turned out some of my regex was incorrect, plus example #9 in the Freeswitch Dialplan Wiki has an extra space before one of the closing brackets in the default.xml example. After staring at the screen all day it's funny how you miss these things! Situation now is I can get the call into FS but, it rings the extension for a fraction of a second then the call drops. Here's the contents of the public and default dialplans I'm using (as per example in the wiki) and the debug - http://pastebin.freeswitch.org/7819 http://pastebin.freeswitch.org/7819 I'm also seeing another issue when placing subsequent inbound calls, they bounce if hitting the same channel the first call came in to (typically /1:1). Again, grabbed a debug of this - http://pastebin.freeswitch.org/7818 http://pastebin.freeswitch.org/7818 Getting there (slowly) Mark. mercutioviz wrote: On Tue, Mar 17, 2009 at 4:24 AM, Mark Tabron mark.tab...@rnid-typetalk.org.uk wrote: Another update - this time (part) good news! Decided to run wancfg_tdmapi again, using the same settings as we always did, and we can now make external calls. I suspect that whatever BT did yesterday kicked the circuit back into life. Good. I can't tell you how many times I've spoken to a telco when there's a problem and the circuit magically comes back to life. They frequently claim, We didn't do anything. I think that's a euphemism for we did a reset and prayed. However placing an external call into FS isn't as successful, looks like it can't assign a channel and terminates the call. Be sure that you have some routing mechanism in your public.xml file. Do you have a whole block of DID numbers? Anyway, pastebin your public.xml and a debug trace of an incoming call, including what phone number the caller dialed, and we'll take a look. -MC ___ Freeswitch-users mailing list Freeswitch-users@lists.freeswitch.org http://lists.freeswitch.org/mailman/listinfo/freeswitch-users UNSUBSCRIBE:http://lists.freeswitch.org/mailman/options/freeswitch-users http://www.freeswitch.org -- View this message in context: http://www.nabble.com/Problem-dialing-out-via-E1-tp22479047p22582281.html Sent from the Freeswitch-users mailing list archive at Nabble.com. ___ Freeswitch-users mailing list Freeswitch-users@lists.freeswitch.org http://lists.freeswitch.org/mailman/listinfo/freeswitch-users UNSUBSCRIBE:http://lists.freeswitch.org/mailman/options/freeswitch-users http://www.freeswitch.org
