Скачать или смотреть SAS VIYA || SAS Programming In 90 Days || Deploying & Managing Model || Day - 17

/* SAS Programming in 90 Days

Day - 17 || SAS® Visual Analytics – Deploying & Managing Model


SAS VIYA Login - https://www.sas.com/ro_ro/software/vi...
SAS Visual Learning - https://support.sas.com/en/software/v...
SAS Visual Statistics - https://www.sas.com/en_ae/software/vi...


SAS Model Studio is visual interface in SAS Viya allows you to build model pipelines.

Pipelines are process flow diagrams that represent a sequence of analytical tasks.

They enable you to do everything from data preprocessing to building multiple models to finding your best model all within one pipeline.

These analytical tasks are represented as individual nodes in a pipeline.

Model Studio Data Modifying Nodes

Imputation is an important aspect of data preprocessing that has the potential to make (or break) your model. The goal of imputation is to replace missing values with values that are close to what the missing value might have been.

When considering imputation, you have two main tasks:

Try to identify the missing data mechanism (i.e. what caused your data to be missing)
Determine which method of imputation to use

One reason imputation may be used is that many machine learning models cannot use missing values and only do complete case analysis, meaning that any observation with missing values will be excluded.







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