log-model: Logs performance of the statistical or machine learning model...

In byapparov/rmeta: Provides wrapper for InfluxDb to write and read pipeline process metadata

Description

Logs performance of the statistical or machine learning model into InfluxDb

Usage

log_model_performance(dataset, target, test, algorithm, metric, group, records,
  value)

Arguments

dataset	name of the dataset that was targed by the model, e.g. 'sessions'
target	explained variable, e.g. 'conversion rate“
test	boolean defines whether validation was done on test or training dataset
algorithm	name of the method that was used to create the model
metric	name of the model performance metric, e.g. rsquared or mape
group	group within the data if data is split into different segments
records	size of the sample that was used to estimate the model
value	value of the model performance metric on a given sample

byapparov/rmeta documentation built on May 10, 2019, 1:18 a.m.