added LinearRegressionLearner, LogisticRegressionLearner with tests and fixed NeuralNetLearner and PerceptronLearner - #1163
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antmarakis merged 236 commits intoFeb 16, 2020
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antmarakis merged 236 commits into
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Changed queue to set in AC3 (as in the pseudocode of the original algorithm) to reduce the number of consistency-check due to the redundancy of the same arcs in queue. For example, on the harder1 configuration of the Sudoku CSP the number consistency-check has been reduced from 40464 to 12562!
AC3 algorithm has non-optimal worst case time-complexity O(cd^3 ), while AC4 algorithm runs in O(cd^2) worst case time
…he constant propagation algorithm in mac inference
…eady present in test_csp.py
This reverts commit 20ab0e5.
This reverts commit f743146.
This reverts commit 9e0fa55.
… are already present in test_csp.py" This reverts commit b3cd24c.
…oosing the constant propagation algorithm in mac inference" This reverts commit 6986247.
This reverts commit 03551fb.
This reverts commit 93af259.
This reverts commit 6641c2c.
This reverts commit 9d37ae0.
antmarakis
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In general, even though this is impressive work, it makes some pretty big changes that I cannot authorize. The creation of the Learner class isn't entirely necessary and I am not sure this is where @norvig wants to take this. I think as functions the algorithms here work just as well for the purposes of this.
As always, small PRs are way more welcome than longer ones. We need incremental changes, nothing as sweeping as this I'm afraid.
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…nd fixed NeuralNetLearner and PerceptronLearner (aimacode#1163)
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