displayTable: Table for displaying summary

Description

This is the main function for displaying summary from model training and scoring

Usage

displayTable(
  data,
  columnName = NULL,
  value = NULL,
  tableType = "summary",
  scroll = FALSE,
  limit = 100
)

Value

A consolidated table of results from trainHVT and scoreHVT.

Arguments

data: List. A listed object from trainHVT or scoreHVT
columnName: Character. Name of the column that needs highlighting.
value: Numeric. The value above will be highlighted in red or green.
tableType: Character. Type of table to generate ('summary', 'compression' and 'metrics')
scroll: Logical. A value to have a scroll or not in the table.
limit: Numeric. A value to indicate how many rows to display. Applicable for summary tableType.

Author

Vishwavani <vishwavani@mu-sigma.com>, Alimpan Dey <alimpan.dey@mu-sigma.com>

Examples

Run this code

data <- datasets::EuStockMarkets
dataset <- as.data.frame(data)
#model training
hvt.results <- trainHVT(dataset, n_cells = 60, depth = 1, quant.err = 0.1,
                      distance_metric = "L1_Norm", error_metric = "max",
                      normalize = TRUE, quant_method = "kmeans", dim_reduction_method = 'sammon')
displayTable(data =  hvt.results$model_info$distance_measures, tableType = "metrics")
displayTable(data = hvt.results[[3]]$compression_summary,
columnName = 'percentOfCellsBelowQuantizationErrorThreshold', 
value = 0.8, tableType = "compression")
displayTable(data =hvt.results[[3]][['summary']], columnName= 'Quant.Error',
value = 0.1, tableType = "summary", scroll = TRUE)