Version 0.7.1

ADD #764: support for automatic per_run_time_limit selection
ADD #864: add the possibility to predict with cross-validation
ADD #874: support to limit the disk space consumption
MAINT #862: improved documentation and render examples in web page
MAINT #869: removal of competition data manager support
MAINT #870: memory improvements when building ensemble
MAINT #882: memory improvements when performing ensemble selection
FIX #701: scaling factors for metafeatures should not be learned using test data
FIX #715: allow unlimited ML memory
FIX #771: improved worst possible result calculation
FIX #843: default value for SelectPercentileRegression
FIX #852: clip probabilities within [0-1]
FIX #854: improved tmp file naming
FIX #863: SMAC exceptions also registered in log file
FIX #876: allow Auto-sklearn model to be cloned
FIX #879: allow 1-D binary predictions

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