def targetMV(bundles, revenue, pricePrediction, verbose = False):
"""
Returns bid according to targetMV strategy.
1) solve for optimal bundle
2) for all goods in optimal bundle, bid marginal utility for that good.
"""
b = numpy.atleast_2d(bundles)
rev = numpy.atleast_1d(revenue)
pp = numpy.atleast_1d(pricePrediction)
[optBundle, optSurplus] = acq(b, rev, pp)
if verbose:
print "optBundle = {0}".format(optBundle)
print "optSurplus = {0}".format(optSurplus)
n_goods = bundles.shape[1]
bid = numpy.zeros(n_goods, dtype = numpy.float)
for goodIdx, good in enumerate(optBundle):
if good:
bid[goodIdx] = marginalUtility(bundles, valuation,
pricePrediction, goodIdx)
if verbose:
print "bid = {0}".format(bid)
return bid
def targetPrice(bundles, revenue, pricePrediction, verbose = False):
bundleView = numpy.atleast_2d(bundles)
revenueView = numpy.atleast_1d(revenue)
ppView = numpy.atleast_1d(pricePrediction)
if verbose:
print "Computing bid via targetPrice strategy."
optBundle = acq(bundleView, revenueView, ppView, verbose)[0]
bid = ppView.copy()
bid[~optBundle] = 0.0
if verbose:
print "Optimal Bundle = {0}".format(optBundle)
print "Price Prediction = {0}".format(ppView)
print "bid = {0}".format(bid)
return bid
def targetMVS(bundles, revenue, pricePrediction, verbose = False):
ppView = numpy.atleast_1d(pricePrediction).astype('float')
optBundle = acq(bundles, revenue, pricePrediction, verbose)[0]
ppCopy = ppView.copy()
ppCopy[~optBundle] = numpy.float('inf')
if verbose:
print "Computing bid via targetMVS"
print "Optimal Bundle = {0}".format(optBundle.astype('int'))
print "Price Prediction Copy = {0}".format(ppCopy)
bids = numpy.zeros(ppView.shape[0])
for goodIdx in numpy.flatnonzero(optBundle == True):
bids[goodIdx] = marginalUtility(bundles, revenue, ppCopy, goodIdx)
if verbose:
print "bids = {0}".format(bids)
return bids