modeldb 0.1.2 Removes pipes and other dplyr dependencies from internal mlr() function Consolidates duplicated database operations in mlr() Fixes an issue in simple_kmeans_db() when specifying variables tidypredict 0.3.0 New features Adds support for MARS models provided by the earth package Improvements New parsed models are now list objects as opposed to data frames. tidypredict_to_column() no longer supports ranger and randomForest because of the multiple queries generated by multiple trees.
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The new version of bigrquery is now available on CRAN. This is a minor release, with some improved type support, and SQL translation. Please see the official release announcement in the tidyverse.org site: https://www.tidyverse.org/articles/2019/02/bigrquery-1-1-0/
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The new version of bigrquery is now available on CRAN. Here are some highlights: The low-level API provides thin wrappers over the underlying REST API. In this version, all the low-level functions start with bq_, and mostly have the form bq_noun_verb(). This level of abstraction is most appropriate if you’re familiar with the REST API and you want do something not supported in the higher-level APIs. The DBI interface wraps the low-level API and makes working with BigQuery like working with any other database system.
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We are excited to announce that tidypredict version 0.2.0 is now on CRAN. This version adds support for ranger() models. tidypredict parses a fitted R model object, and returns a formula in ‘Tidy Eval’ code that calculates the predictions.
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We are very excited to announce that dbplyr 1.2.0 is now available on CRAN! The full announcement was posted in tidyverse.org.
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