Introduction to iml: Interpretable Machine Learning in R
The iml package works for any classification and regression machine learning model: random forests, linear models, neural networks, xgboost, etc. This document shows you how to use the iml package to analyse machine learning models.
giuseppec/iml: iml: interpretable machine learning R package - GitHub
iml is an R package that interprets the behavior and explains predictions of machine learning models. It implements model-agnostic interpretability methods - meaning they can be used with any machine learning model. Read more about the …
Interpreting Machine Learning Models with the iml Package
iml is probably the most comprehensive package available for global and local model-agnostic interpretation. Although the interaction functions can become notably slow for wide data sets, the other functions are faster or comparable to existing packages (i.e. DALEX, pdp). I definitely recommend adding iml to your preferred ML toolkit.
The SAS/IML language is a high-level matrix programming language that enables you to use natural mathematical syntax to write custom algorithms and to compute statistics that are not built into any SAS procedure. The initials IML stand for “interactive matrix language.” This paper is based on Chapters 2–4 of Wicklin (2010b).
Writing data from a matrix to a SAS data set - The DO Loop
2011年4月18日 · This article shows the converse: how to use the CREATE, APPEND, and CLOSE statements to create a SAS data set from data stored in a matrix or in vectors. You can use the CREATE and APPEND statements to write a SAS data set from SAS/IML vectors. The following statements create three different SAS/IML vectors.
Send this IML output to dataset instead of result window
2017年12月7日 · I am using this code to analyze a dataset to see what percent is missing for each variable. I need the results in a dataset instead of a result window. I figured it out on my own. Posting this for anyone who finds this post later. This would work to analyze a set to find missing rates of all variables, but it runs out of memory for my large data.
How to read data set variables into SAS/IML vectors
2012年5月14日 · One of the first skills that a beginning SAS/IML programmer learns is how to read data from a SAS data set into SAS/IML vectors. (Alternatively, you can read data into a matrix). The beginner is sometimes confused about the syntax of the READ statement: do you specify the names of
Teaching an AI assistant to read and write SAS IML vectors
2024年6月24日 · So, this article reviews how to read data directly into IML vectors. I also discuss the converse process: How to write data from IML vectors to a SAS data set. Read data into IML vectors. The Copilot excelled at the task of reading data into an IML matrix. To read data into a matrix, you use the READ-INTO statement in PROC IML.
WHAT IS SAS/IML? The SAS Interactive Matrix Language (IML) is a programming language for explorative data analysis. It implements a wide range of functions for most standard matrix operations. Also linear algebraic and statistical functions like solving ordinary differential equations or linear systems are part of SAS/IML.
SAS/IML is a programming language for high-level, matrix-vector computations. Matrices are rect-angular arrays that usually contain numbers. A matrix that contains character data is often explicitly called a character matrix. In statistical programming, matrices often hold …