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The SAS language block enables you to use SAS language functionality supported in Altair SLC which is not available as a discrete block in Workflow. The following demonstrates how to use the SAS language block to filter the input dataset (loan_data.csv, containing observations each of which describes a completed loan and…
The Reject Inference block enables you to address any inherent selection bias in a model by including a rejected population. The block is used to create an inference model and make predictions on loan default using input datasets ( accepted_loans.csvand rejected_loans.csv ) that contains observations describing a loan and…
The Permanent Dataset block enables you to import data from a WPD-formatted file into a Workflow. The following shows how to import a dataset from a file (basketball_shots.wpd) saved in the Workbench workspace: * Expand the Import group in the Workflow palette, then click and drag the Permanent Dataset block onto the…
If you have an LSF cluster, you can connect to it using Altair Analytics Workbench and distribute workloads from your workflow files. To setup the connection you need to: * Select the Altair menu select Link then click New Remote Host Connection to display the New Server Connection window. * Select New IBM Spectrum LSF…
The Excel Import block enables you to import data from a Microsoft Excel Workbook file into a Workflow. The following shows how to import a Worksheet from a Microsoft Excel Workbook ( basketball_shots.xlsx ) saved in the Workbench workspace: * Expand the Import group in the Workflow palette, then click and drag the Excel…
If you find that the default functionality provided in the Workflow Mutate block is not quite what you need, you can create and use custom SAS language functions with the FCMP procedure. User-defined functions saved in a SAS language catalog can be used in a workflow. Functions should not be created in a SAS language block…
The Binning block enables you to group a variable into discrete categories. The following demonstrates how to use the Binning block to categorise an input dataset loan_data.csv (containing observations each of which describes a completed loan and the person who took the loan out) using the numerical variable Income: *…
</p The Transpose block enables you to restructure a dataset to convert rows to columns. The following demonstrates how the Transpose block is used to change the loandatasample.csv dataset (containing observations describing a loan and the person taking the loan out) structure such that each column represents an individual…
The Top Select block enables you to retain variables in a dataset. The block is used to keep or discard certain columns from an input loan_data.csv dataset (containing observations describing a loan and the person taking the loan out). The following demonstrates how to use the Top Select block to sort variables from the…
The Sampling block enables you take a sample of a dataset. Taking samples of datasets can help with processing times if you are working with a large dataset. The following demonstrates how to use the Sampling block to take ten percent of the dataset loan_data.csv: * Import the loan_data.csv dataset onto a Workflow canvas…
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