simplerfit

R package that cleans the data, does basic EDA and returns scores for basic classification and regression models. This package helps data scientists clean the data, perform basic EDA, visualize graphical interpretations and analyse performance of the baseline model and basic Classification or Regression models, namely Logistic Regression, Ridge on their data.

Functions

Function Name Input Output Description
clean_data dataframe list of 3 dataframes Loads and cleans the dataset, removes NA rows, strip extra white spaces, etc and returns clean dataframe along with data.info() , data.describe() as dataframes
plot_distributions dataframe, bins, hist_cols, class_label Ggplot histogram plot object Creates numerical distribution plots on either all the numeric columns or the ones provided to it
plot_corr dataframe, corr Ggplot correlation plot object Creates correlation plot for all the columns in the dataframe
fit_regressor train_df, target_col, numeric_feats, categorical_feats, cv dataframe Preprocesses the data, fits baseline model(Dummy Regressor) and Ridge with default setup and returns model scores in the form of a dataframe
fit_classifier train_df , target_col , numeric_feats , categorical_feats, cv dataframe Preprocesses the data, fits baseline model(Dummy Classifier) and Logistic Regression with default setup and returns model scores in the form of a dataframe

Our Package in R Ecosystem

There exists a subset of our package as standalone packages, namely autoReg, brinton, correlationfunnel, clean. But these packages only do the EDA or just making summary tables for descriptive statistics based on linear regression. But with our package, we aim to do all the basic steps of a ML pipeline and save the data scientist’s time and effort by cleaning, preprocessing, returning grpahical visualisations from EDA and providing an insight about the basic model performances, after which the user can decide which other models to use.

Installation

You can install the released version of simplerfit from CRAN with:

install.packages("simplerfit")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("UBC-MDS/simplerfit")

Usage

Contributors

This R package was developed by the following Master of Data Science program candidates at the University of the British Columbia:

License

simplerfit was created by Navya, Reza, Sanchit, Zoe. It is licensed under the terms of the MIT license.