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Hi, @fabsig thank you for your work, this sounds like an exciting method.
IIRC, you currently only support 0/1 binary outcomes with a logistic link, ctrl+F searching for 'logit'
https://github.…
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Model Builder 16.0.1905.641
OS Windows 10 Pro 17134.765
VS Studion 2019 16.1.1
I made very simple sample - XOR data set. Trying with csv format with "," seporated and tsv - no matter.
Here is my t…
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Hi mmlspark team,
Given I have a LightGBM model trained in python with a dataset that contains categorical features and missing values. Now LightGBM deals with both under the hood which is neat.
…
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**Describe the bug**
The features created by the TSFreshFeatureExtractor class include Json characters. This is throwing the following error when using lghtGBM as the estimator.
`
LightGBMError: D…
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Many data sets can be extremely sparse, and currently datatable has no form of compression. Even a simple compression or handle of sparsity would make dt much more efficient. Some datasets can't eve…
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## Description
I have read some tickets and understand that LightGBM is not optimized for Apple Silicon. But I decided to report on my findings in the hope that this report might be of use to users…
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Is there UI or log which to see the number of iterations and loss changes when running model in mmlspark lightgbm?
AB#1984522
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[Enter feedback here]
This is an important feature however there are several different ways one could come to a conclusion to early stop the training.
At the moment the training iteration goes …
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### SynapseML version
0.10.0
### System information
- **Language version** (e.g. python 3.8, scala 2.12): python3
- **Spark Version** (e.g. 3.2.2): 3.0
- **Spark Platform** (e.g. Synapse, Databri…
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Hello to everyone!!
I am new to Python and Iam getting this error when running LightGBM about a **_Ranking_** problem: `lightgbm.basic.LightGBMError: Label 72 is not less than the number of label m…