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petrasovaa edited this page May 18, 2015
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All parameters related to stochastic 1 were removed - dProbWeight
, dDevPersistence
, giveUpRatio
.
Also controlFile
was removed (there is still controlFileAll
).
Parameters employAttractionFile
, interchangeDistanceFile
, roadDensityFile
, addVariableFile
were removed, instead we have now predictors
.
##Programming TODO Constraint weight shouldn't be required. Currently the code can work without it, but it allocates the memory anyway, this must be changed.
We need either a very simple grass module or provide code instructions in Python/R something like that:
import numpy as np
incentive = 2
x = np.linspace(0, 1, 1001)
np.savetxt(fname="incentive_table.txt", fmt='%1.3f', delimiter=',', X=np.column_stack((x, np.power(x, incentive))))
Of course, it can be defined in a more complex way by user.