Package: recorder 0.8.2

recorder: Toolkit to Validate New Data for a Predictive Model

A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.

Authors:Lars Kjeldgaard [aut, cre]

recorder_0.8.2.tar.gz
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recorder_0.8.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
recorder/json (API)

# Install 'recorder' in R:

install.packages('recorder', repos = c('https://smaakage85.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/smaakage85/recorder/issues

Datasets:

iris_newdata - Simulated Iris New Data

On CRAN:

data-analysis machine-learning predictive-analytics predictive-modeling

4.78 score 4 stars 7 scripts 262 downloads 3 mentions 8 exports 2 dependencies

Last updated from:13680fa8df. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	129
source / vignettes	OK	176
linux-release	OK	106
macos-release	OK	103
macos-oldrel	OK	86
windows-devel	OK	74
windows-release	OK	76
windows-oldrel	OK	70
wasm-release	OK	85

Exports:create_tests_meta_data get_clean_rows get_failed_tests get_failed_tests_string get_tests_meta_data play record run_validation_tests

Dependencies:crayon data.table

Introduction to recorder

Rendered fromrecorder.Rmdusingknitr::rmarkdown

Last update: 2019-05-15
Started: 2019-05-14

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Compress Results of Detailed Tests	compress_detailed_tests
Concatenate Validation Test Failures Descriptions	concatenate_test_failures
Create Data Frame with Test Results	create_test_results_df
Create Meta Data of Validation Tests	create_tests_meta_data
Get Clean Rows	get_clean_rows
Get Failed Tests	get_failed_tests
Get Failed Tests as a String	get_failed_tests_string
Get Meta Data of Validation Tests in a Data Frame	get_tests_meta_data
Ignore Certain Test Results	ignore
Ignore Test Results from Tests of Specific Columns	ignore_cols
Ignore Test Results from Specific Tests of Specific Columns	ignore_combinations
Ignore Results from Specific Tests	ignore_tests
Simulated Iris New Data	iris_newdata
Order Test Results by Test Names	order_by_tests
Validate New Data by Playing a Data Tape on It	play
Print Data Playback	print.data.playback
Record Statistics and Meta Data of Variables in Training Data	record
Record Statistics and Meta Data of a Character	record.character
Record Statistics and Meta Data of a Data Frame	record.data.frame
Record Statistics and Meta Data	record.default
Record Statistics and Meta Data of a Factor	record.factor
Record Statistics and Meta Data of an Integer	record.integer
Record Statistics and Meta Data of a Numeric	record.numeric
Run Validation Tests on Variable in New Data	run_validation_tests
Run Validation Tests on Character	run_validation_tests.character
Run Validation Tests on Variable	run_validation_tests.default
Run Validation Tests on Factor	run_validation_tests.factor
Run Validation Tests on Integer	run_validation_tests.integer
Run Validation Tests on a Numeric	run_validation_tests.numeric