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add python reference (#114)
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README.Rmd

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@@ -102,10 +102,14 @@ sc_mtcars <- copy_to(sc, mtcars, overwrite = TRUE)
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predict(orbital_obj, sc_mtcars)
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```
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# Supported models and recipes steps
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## Supported models and recipes steps
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Full list of supported models and recipes steps can be found here: `vignette("supported-models")`.
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## Python Version
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We have created a [python version of orbital](https://posit-dev.github.io/orbital/) that works on on fitted scikit learn models.
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## contributing
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This project is released with a [Contributor Code of Conduct](https://github.com/tidymodels/orbital/blob/main/.github/CODE_OF_CONDUCT.md). By contributing to this project, you agree to abide by its terms.

README.md

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@@ -39,6 +39,8 @@ Given a fitted workflow
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``` r
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library(tidymodels)
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#> Warning: package 'ggplot2' was built under R version 4.5.2
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#> Warning: package 'parsnip' was built under R version 4.5.2
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rec_spec <- recipe(mpg ~ ., data = mtcars) |>
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step_normalize(all_numeric_predictors())
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``` r
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library(DBI)
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library(RSQLite)
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#> Warning: package 'RSQLite' was built under R version 4.5.2
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con <- dbConnect(SQLite(), path = ":memory:")
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db_mtcars <- copy_to(con, mtcars)
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predict(orbital_obj, db_mtcars)
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#> # Source: SQL [?? x 1]
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#> # Database: sqlite 3.50.1 []
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#> # Database: sqlite 3.51.1 []
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#> .pred
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#> <dbl>
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#> 1 22.6
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#> # ℹ more rows
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```
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# Supported models and recipes steps
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## Supported models and recipes steps
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Full list of supported models and recipes steps can be found here:
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`vignette("supported-models")`.
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## Python Version
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We have created a [python version of
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orbital](https://posit-dev.github.io/orbital/) that works on on fitted
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scikit learn models.
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## contributing
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This project is released with a [Contributor Code of

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