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functionality for generating an image showing the results of a composite model voting on a data set Uses *Numeric* and *PIL*
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__package__ =
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Imports: numpy, Image, ImageDraw
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collects the votes from _composite_ for the examples in _data_ **Arguments** - composite: a composite model - data: a list of examples to run through _composite_ - badOnly: if set only bad (misclassified) examples will be kept **Returns** a 4-tuple containing: 1) the expanded list of vote details (see below) 2) the list of predicted results 3) the list of true results 4) the number of miscounted examples **Notes** pp - the expanded list of vote details consists of: '[ vote1, vote2, ... voteN, 0, res, trueRes]' where _res_ is the predicted results and _trueRes_ is the actual result. The extra zero is included to allow a line to be drawn between the votes and the results. |
constructs the actual image **Arguments** - nModels: the number of models in the composite - data: the results of voting - values: predicted values for each example - trueValues: true values for each example - sortTrueVals: if nonzero the votes will be sorted so that the _trueValues_ are in order, otherwise the sort is by _values_ - xScale: number of pixels per vote in the x direction - yScale: number of pixels per example in the y direction - addLine: if nonzero, a purple line is drawn separating the votes from the examples **Returns** a PIL image |
collects votes on the examples and constructs an image **Arguments** - composte: a composite model - data: the examples to be voted upon - badOnly: if nonzero only the incorrect votes will be shown - sortTrueVals: if nonzero the votes will be sorted so that the _trueValues_ are in order, otherwise the sort is by _values_ - xScale: number of pixels per vote in the x direction - yScale: number of pixels per example in the y direction - addLine: if nonzero, a purple line is drawn separating the votes from the examples **Returns** a PIL image |
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