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Gaffer has a Spark library with Scala and Java APIs for accessing data using Spark; generating RDDs and Spark DataFrames from Gaffer graphs.
Gaffer also has a python shell with implementations of s…
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when call ForestDRLearner,
set model_regression=make_pipeline(ordinal_encoder,HistGradientBoostingClassifier()),
set ordinal_encoder=make_column_transformer( (OrdinalEncoder(), make_column_selecto…
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Hi there,
I'm looking to use xgboost as my nuisance model in my DoubleML setup and use xgboost's own mechanism for encoding categorical features (rather than having to one hot encode them myself).
…
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We can use the extension API to create a custom namespace for tidypolars methods that work directly on polars DataFrames and Expressions.
Open to suggestions on whether to use `tp` or `r` as the na…
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I'm able to create dataframes with zero columns, but representing it produces the following
```python
>>> import vaex
>>> df = vaex.from_dict({})
>>> df
Traceback (most recent call last):
Fi…
honno updated
2 months ago
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We noticed that some parts of the core/common code are still dependent of the Delta Format, losing its intention of sharing code between implementations.
One task to make the code more flexible is sp…
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# Context
Now **PipelineDP** supports 3 execution modes - with Apache Spark, Apache Beam, w/o frameworks ([here](https://github.com/OpenMined/PipelineDP/blob/main/examples/movie_view_ratings/run_all_…
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From @rabernat on [Twitter](https://twitter.com/rabernat/status/1330707155742322689):
> "Xarray has some secret private classes for lazily indexing / wrapping arrays that are so useful I think they…
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Sorry for such a basic question, but where can I find the official docs for this package? I see the examples directory which is quite helpful, but I was wondering if there was a docs location. that I …
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### We would like to learn about your use case. For example, if this feature is needed to adopt Narwhals in an open source project, could you please enter the link to it below?
_No response_
### P…