Make 2D scatterplot and linear regression of regressor predictions.
Make a 2D scatterplot and linear regression of predicted vs. true values
for a set of samples predicted using a sample regressor.
Parameters
- predictions : SampleData[RegressorPredictions]
- Predicted values to plot on y axis. Must be predictions of numeric data
produced by a sample regressor.
- truth : MetadataColumn[Numeric]
- Metadata column (true values) to plot on x axis.
- missing_samples : Str % Choices('error', 'ignore'), optional
- How to handle missing samples in metadata. "error" will fail if missing
samples are detected. "ignore" will cause the feature table and
metadata to be filtered, so that only samples found in both files are
retained.
Returns
visualization : Visualization