SynapseML
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Simple and Distributed Machine Learning
### SynapseML version using docker installation mentioned here https://microsoft.github.io/SynapseML/docs/getting_started/installation/#docker ### System information - **Language version** (e.g. python 3.8, scala 2.12): - **Spark Version** (e.g. 3.2.3): - **Spark Platform** (e.g. Synapse,...
### SynapseML version 0.11.1 ### System information - **Language version**: Python 3.8.10 - **Spark Version**: 3.2.2.5.1-96380145 - **Spark Platform**: Azure ML Notebooks with Serverless Spark Compute ### Describe the problem...
### SynapseML version 0.11.1 ### System information - **Language version**: Python 3.8.10 - **Spark Version**: 3.2.2.5.1-96380145 - **Spark Platform**: Azure ML Notebooks with Serverless Spark Compute ### Describe the problem...
### SynapseML version 0.10.2 ### System information - **Language version** (e.g. python 3.8, scala 2.12): python3.9 - **Spark Version** (e.g. 3.2.3): 3.3.1 - **Spark Platform** (e.g. Synapse, Databricks): EMR ###...
### SynapseML version 0.11.1 ### System information - **Language version**: Irrelevant - **Spark Version**: Irrelevant - **Spark Platform**: Irrelevant ### Describe the problem The Wasserstein distance, sometimes referred to as...
I'm very interested in using this package for my office work. It perfectly complements existing suite of tools that come with Spark. I'm particularly interested in: 1. LightGBM and Deep...
## Related Issues/PRs #xxx ## What changes are proposed in this pull request? move dependencies to databricks utils ## How is this patch tested? - [x] I have written tests...
## Related Issues/PRs #xxx ## What changes are proposed in this pull request? Fix the ExplanationDashboard notebook failure in e2e tests. ## How is this patch tested? - [x] I...
### SynapseML version 0.10.1 ### System information - **Language version**: Python: 3.8.10, Scala 2.12 - **Spark Version** : Apache Spark 3.2.1, - **Spark Platform**: Databricks ### Describe the problem Installed...
## Related Issues/PRs #1891 ## What changes are proposed in this pull request? A transformer can be used to handle data with high cardinality skewed categorical before doing other featurization...