Preprocessing |
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Mold data for modeling |
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Forge prediction-ready data |
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Prediction |
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Spruce up predictions |
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Utility |
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Construct a model frame |
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Construct a design matrix |
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Extract a model offset |
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Delete the response from a terms object |
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Standardize the outcome |
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Constructor for a base model |
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Add an intercept column to |
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Call |
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Validation |
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😱 Scream. |
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Subset only required columns |
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Ensure that |
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Ensure no duplicate terms appear in |
Ensure that the outcome has binary factors |
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Ensure that the outcome has only factor columns |
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Ensure outcomes are all numeric |
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Ensure that the outcome is univariate |
Ensure that predictions have the correct number of rows |
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Ensure predictors are all numeric |
Blueprint |
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Default formula blueprint |
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Default recipe blueprint |
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Default XY blueprint |
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Is |
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Create a new preprocessing blueprint |
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Create a new default blueprint |
Refresh a preprocessing blueprint |
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Update a preprocessing blueprint |
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Setup |
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Create a modeling package |
Information |
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Extract data classes from a data frame or matrix |
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Extract factor levels from a data frame |
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Data |
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Example data for hardhat |