get_best_lambda

A lasso model genereted by glmnet.

lasso_model

A cv lasso model genereted by cv.glmnet

lasso_model_cv

type.measure

Default is "negtive". This is related to pos_plag. If pos_flag equals 1 or bad, the value must be set to negetive. If pos_flag equals 0 or good, the value must be set to positive.

sim_sign

get_best_lambda
<code>plot_theme</code> is for get Best lambda required in lasso_filter. This function required in <code>lasso_filter</code>

Provides a toolkit for building predictive models in one integrated offering. Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyperparameters, data mining and visualization, model evaluation, strategy analysis etc. 'creditmodel' is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster.

Dongping Fan

creditmodel

Build Binary Classification Models in One Integrated Offering

get_best_lambda function

get_best_lambda
<code>plot_theme</code> is for get Best lambda required in lasso_filter. This function required in <code>lasso_filter</code> — get_best_lambda

get_best_lambda: get_best_lambda `plot_theme` is for get Best lambda required in lasso_filter. This function required in `lasso_filter`

Description

Usage

Arguments

Value

Details