Package rdkit :: Package ML :: Package Composite :: Module AdjustComposite
[hide private]
[frames] | no frames]

Module AdjustComposite

source code

functionality to allow adjusting composite model contents

Functions [hide private]
 
BalanceComposite(model, set1, set2, weight, targetSize, names1=None, names2=None)
adjusts the contents of the composite model so as to maximize the weighted classification accuracty across the two data sets.
source code
Variables [hide private]
  __package__ = 'rdkit.ML.Composite'

Imports: numpy, copy


Function Details [hide private]

BalanceComposite(model, set1, set2, weight, targetSize, names1=None, names2=None)

source code 
adjusts the contents of the composite model so as to maximize
the weighted classification accuracty across the two data sets.

The resulting composite model, with _targetSize_ models, is returned.

**Notes**:

  - if _names1_ and _names2_ are not provided, _set1_ and _set2_ should
    have the same ordering of columns and _model_ should have already
    have had _SetInputOrder()_ called.