rdkit.ML.MLUtils.VoteImg

Package rdkit :: Package ML :: Package MLUtils :: Module VoteImg |
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# Module VoteImg

source code

    functionality for generating an image showing the results of a composite model voting on a data set

    Uses *Numeric* and *PIL*

Functions | [hide private]
CollectVotes(composite, data, badOnly) collects the votes from _composite_ for the examples in _data_ | source code
BuildVoteImage(nModels, data, values, trueValues=`[``]`, sortTrueVals=0, xScale=10, yScale=2, addLine=1) constructs the actual image | source code
VoteAndBuildImage(composite, data, badOnly=0, sortTrueVals=0, xScale=10, yScale=2, addLine=1) collects votes on the examples and constructs an image | source code
Usage() provides a list of arguments for when this is used from the command line | source code

Variables | [hide private]
| __package__ = ``'``rdkit.ML.MLUtils``'``

Imports: numpy, Image, ImageDraw

Function Details | [hide private]

### CollectVotes(composite, data, badOnly) | source code
    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.

### BuildVoteImage(nModels, data, values, trueValues=`[``]`, sortTrueVals=0, xScale=10, yScale=2, addLine=1) | source code
    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

### VoteAndBuildImage(composite, data, badOnly=0, sortTrueVals=0, xScale=10, yScale=2, addLine=1) | source code
    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