[WIP] DDS new algorithm #185
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…ectivefunction* support still open.
* master: Removed _algorithm.model, since it is not legal to call. Use _algorithm.simulate instead Removed all calls to self.model in non-funct samplers and replaced it with calls to _algorithm.simulate Accept List Parameter only for MC sampler Support for mixed paramter generation reactivated. List are not properly tested for different algos Removed unittests for mixed parameter generation. Drop of support Enable dealing with non class parameters Add missing default tuple Eanble the filtering of Constant Parameters in _algorithm.py Changed order of parameters to ensure test on Python < 3.6 Fixed thouska#175 and thouska#166 with extensive check to preserve the constants in sceua and developed a number of tests to ensure the constants stays constant in all samplers. Fixed thouska#175 and thouska#166 with extensive check to preserve the constants in sceua and developed a number of tests to ensure the constants stays constant in all samplers. Added tests for named parameters for all samplers. Fails for mle, sa and sceua Fixed Constant parameter usage for sceua (thouska#166 and thouska#175) and build test cases Added a mechanism to exclude parameter types from a sampler, especially List parameters from any sampler except mc and list Change default dbformat to ram
Pull Request Test Coverage Report for Build 601
💛 - Coveralls |
| if i_left <= 0: | ||
| raise ValueError('# Initialization samples >= Max # function evaluations.') | ||
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| starting_generator = ( |
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Use self.parameter() distribution function. Maybe we need to write a parameter.Discrete distribution
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I messed up a commit, so I started a new PR, see: #195. |
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Pull request, first version, for discuss. Please do not merge immediately.