Toolkit to Validate New Data for a Predictive Model

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Documentation for package ‘recorder’ version 0.8.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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