eval_preds

Automatically evaluates predictions created by <code>tidy_predict</code>. No need to supply column names.

Automatically do statistical exploration. Create formulas using 'tidyselect' syntax, and then determine cross-validated model accuracy and variable contributions using 'glm' and 'xgboost'. Contains additional helper functions to create and modify formulas. Has a flagship function to quickly determine relationships between categorical and continuous variables in the data set.

Harrison Tietze

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eval_preds function

<dl><dt>.data</dt>
<dd>dataframe as a result of <code>tidy_predict</code></dd>
<dt>...</dt>
<dd>additional metrics from <a href="https://yardstick.tidymodels.org/articles/metric-types.html">yarstick</a> to be calculated</dd>
<dt>softprob_model</dt>
<dd>character name of the model used to create multiclass probabilities</dd></dl>

Arguments

eval_preds — eval_preds

<dl>

<dt>.data</dt>
<dd>dataframe as a result of <code>tidy_predict</code></dd>


<dt>...</dt>
<dd>additional metrics from <a href='https://yardstick.tidymodels.org/articles/metric-types.html'>yarstick</a> to be calculated</dd>


<dt>softprob_model</dt>
<dd>character name of the model used to create multiclass probabilities</dd>

</dl>

eval_preds: eval_preds

Description

Usage

Value

Arguments