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recorder (version 0.8.2)

Toolkit to Validate New Data for a Predictive Model

Description

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.

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Install

install.packages('recorder')

Monthly Downloads

225

Version

0.8.2

License

MIT + file LICENSE

Issues

0

Pull Requests

0

Stars

4

Forks

0

Maintainer

Lars Kjeldgaard

Last Published

June 13th, 2019

Functions in recorder (0.8.2)

ignore_combinations

Ignore Test Results from Specific Tests of Specific Columns
record.factor

Record Statistics and Meta Data of a Factor
record.integer

Record Statistics and Meta Data of an Integer
ignore_tests

Ignore Results from Specific Tests
run_validation_tests.factor

Run Validation Tests on Factor
print.data.playback

Print Data Playback
get_failed_tests

Get Failed Tests
get_clean_rows

Get Clean Rows
play

Validate New Data by Playing a Data Tape on It
run_validation_tests.integer

Run Validation Tests on Integer
create_test_results_df

Create Data Frame with Test Results
iris_newdata

Simulated Iris New Data
run_validation_tests.numeric

Run Validation Tests on a Numeric
create_tests_meta_data

Create Meta Data of Validation Tests
order_by_tests

Order Test Results by Test Names
run_validation_tests.default

Run Validation Tests on Variable
ignore_cols

Ignore Test Results from Tests of Specific Columns
record.character

Record Statistics and Meta Data of a Character
record

Record Statistics and Meta Data of Variables in Training Data
ignore

Ignore Certain Test Results
compress_detailed_tests

Compress Results of Detailed Tests
record.data.frame

Record Statistics and Meta Data of a Data Frame
record.numeric

Record Statistics and Meta Data of a Numeric
concatenate_test_failures

Concatenate Validation Test Failures Descriptions
run_validation_tests

Run Validation Tests on Variable in New Data
record.default

Record Statistics and Meta Data
get_tests_meta_data

Get Meta Data of Validation Tests in a Data Frame
get_failed_tests_string

Get Failed Tests as a String
run_validation_tests.character

Run Validation Tests on Character