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
recorder_0.8.2.zip(r-4.5)recorder_0.8.2.zip(r-4.4)recorder_0.8.2.zip(r-4.3)
recorder_0.8.2.tgz(r-4.4-any)recorder_0.8.2.tgz(r-4.3-any)
recorder_0.8.2.tar.gz(r-4.5-noble)recorder_0.8.2.tar.gz(r-4.4-noble)
recorder_0.8.2.tgz(r-4.4-emscripten)recorder_0.8.2.tgz(r-4.3-emscripten)
recorder.pdf |recorder.html
recorder/json (API)

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

Peer review:

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

Datasets:

On CRAN:

data-analysismachine-learningpredictive-analyticspredictive-modeling

4.78 score 4 stars 6 scripts 192 downloads 3 mentions 8 exports 2 dependencies

Last updated 5 years agofrom:13680fa8df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-winOKOct 09 2024
R-4.5-linuxOKOct 09 2024
R-4.4-winOKOct 09 2024
R-4.4-macOKOct 09 2024
R-4.3-winOKOct 09 2024
R-4.3-macOKOct 09 2024

Exports:create_tests_meta_dataget_clean_rowsget_failed_testsget_failed_tests_stringget_tests_meta_dataplayrecordrun_validation_tests

Dependencies:crayondata.table

Introduction to recorder

Rendered fromrecorder.Rmdusingknitr::rmarkdownon Oct 09 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Compress Results of Detailed Testscompress_detailed_tests
Concatenate Validation Test Failures Descriptionsconcatenate_test_failures
Create Data Frame with Test Resultscreate_test_results_df
Create Meta Data of Validation Testscreate_tests_meta_data
Get Clean Rowsget_clean_rows
Get Failed Testsget_failed_tests
Get Failed Tests as a Stringget_failed_tests_string
Get Meta Data of Validation Tests in a Data Frameget_tests_meta_data
Ignore Certain Test Resultsignore
Ignore Test Results from Tests of Specific Columnsignore_cols
Ignore Test Results from Specific Tests of Specific Columnsignore_combinations
Ignore Results from Specific Testsignore_tests
Simulated Iris New Datairis_newdata
Order Test Results by Test Namesorder_by_tests
Validate New Data by Playing a Data Tape on Itplay
Print Data Playbackprint.data.playback
Record Statistics and Meta Data of Variables in Training Datarecord
Record Statistics and Meta Data of a Characterrecord.character
Record Statistics and Meta Data of a Data Framerecord.data.frame
Record Statistics and Meta Datarecord.default
Record Statistics and Meta Data of a Factorrecord.factor
Record Statistics and Meta Data of an Integerrecord.integer
Record Statistics and Meta Data of a Numericrecord.numeric
Run Validation Tests on Variable in New Datarun_validation_tests
Run Validation Tests on Characterrun_validation_tests.character
Run Validation Tests on Variablerun_validation_tests.default
Run Validation Tests on Factorrun_validation_tests.factor
Run Validation Tests on Integerrun_validation_tests.integer
Run Validation Tests on a Numericrun_validation_tests.numeric