README.md
In tidylab/tidy.preparation: Implement a Data Pipeline that Ingests, Prepares, Stores and Crafts Features
tidy.preparation
Implement a Data Pipeline that Ingests, Prepares, Stores and Crafts Features
Overview
tidy.preparation provides R6 classes for implementing a unidirectional
data pipeline that starts with any data source whether it’s on a remote
server or local disk. At the output of the instantiated pipeline are
amendable data, ready for consumption by multiple predictive analytics
applications such as analytical models and reports.
See the package website
for more information.
Installation
You can install tidy.preparation by using:
install.packages("devtools")
devtools::install_github("tidylab/tidy.preparation")
tidylab/tidy.preparation documentation built on Jan. 6, 2020, 12:45 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
tidy.preparation
Implement a Data Pipeline that Ingests, Prepares, Stores and Crafts Features
Overview
tidy.preparation provides R6 classes for implementing a unidirectional
data pipeline that starts with any data source whether it’s on a remote
server or local disk. At the output of the instantiated pipeline are
amendable data, ready for consumption by multiple predictive analytics
applications such as analytical models and reports.
See the package website for more information.
Installation
You can install tidy.preparation by using:
install.packages("devtools")
devtools::install_github("tidylab/tidy.preparation")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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