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Language version (e.g. python 3.8, scala 2.12): Python 3.9
Spark Version (e.g. 3.2.3): 3.5.1
Spark Platform (e.g. Synapse, Databricks): Amazon EMR version 7.2.0
Describe the problem
Working on a feature selection function using LightGBMRegressor() and according to documentation there are parameters named 'verbosity' and 'isProvideTrainingMetric' that I would assume print out information for training and evaluation metrics as the model trains. However, this is not the case. There are no errors raised, simply missing output or logs that I assume should be there. An additional detail is that I am not setting up an iteration loop; this is a single pass fit.
sohaibsyed21
changed the title
[BUG] Verbosity = 1, isProvideTrainingMetric= True, and model.saveNativeModel seemingly do nothing
[BUG] Verbosity = 1, isProvideTrainingMetric= True do nothing
Nov 12, 2024
sohaibsyed21
changed the title
[BUG] Verbosity = 1, isProvideTrainingMetric= True do nothing
[BUG] LightGBMRegressor Verbosity = 1, isProvideTrainingMetric= True do nothing
Nov 12, 2024
I think so many people asked the same question, how to see the loss curve. I believe the verbosity does not relate to this. (although I also want that function
SynapseML version
1.0.4
System information
Describe the problem
Working on a feature selection function using LightGBMRegressor() and according to documentation there are parameters named 'verbosity' and 'isProvideTrainingMetric' that I would assume print out information for training and evaluation metrics as the model trains. However, this is not the case. There are no errors raised, simply missing output or logs that I assume should be there. An additional detail is that I am not setting up an iteration loop; this is a single pass fit.
Code to reproduce issue
Other info / logs
No response
What component(s) does this bug affect?
area/cognitive
: Cognitive projectarea/core
: Core projectarea/deep-learning
: DeepLearning projectarea/lightgbm
: Lightgbm projectarea/opencv
: Opencv projectarea/vw
: VW projectarea/website
: Websitearea/build
: Project build systemarea/notebooks
: Samples under notebooks folderarea/docker
: Docker usagearea/models
: models related issueWhat language(s) does this bug affect?
language/scala
: Scala source codelanguage/python
: Pyspark APIslanguage/r
: R APIslanguage/csharp
: .NET APIslanguage/new
: Proposals for new client languagesWhat integration(s) does this bug affect?
integrations/synapse
: Azure Synapse integrationsintegrations/azureml
: Azure ML integrationsintegrations/databricks
: Databricks integrationsThe text was updated successfully, but these errors were encountered: