- 19 mar., 2016 1 validation
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SnShine a écrit
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- 16 mar., 2016 2 validations
- 15 mar., 2016 1 validation
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Chirag Vartak a écrit
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- 13 mar., 2016 2 validations
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Chirag Vartak a écrit
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norvig a écrit
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- 12 mar., 2016 3 validations
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Sidharth Sindhra a écrit
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Chirag Vartak a écrit
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Stuart Russell a écrit
Remove count_if, find_if, every, some, Struct; replace them with modern Python equivalents.
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- 11 mar., 2016 3 validations
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Lucas Moura a écrit
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Chirag Vartak a écrit
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Chipe1 a écrit
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- 10 mar., 2016 1 validation
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MircoT a écrit
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- 09 mar., 2016 1 validation
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MircoT a écrit
- Fix relative imports in base of is a package or not - Fix not working notebooks - Add notebooks to packages sources
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- 08 mar., 2016 2 validations
- 07 mar., 2016 1 validation
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SnShine a écrit
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- 06 mar., 2016 6 validations
- 05 mar., 2016 9 validations
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Tarun Kumar a écrit
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SnShine a écrit
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Tarun Kumar a écrit
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Tarun Kumar a écrit
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Tarun Kumar a écrit
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norvig a écrit
These functions, which I had to implement in Python 2.2, are now available in standard Python.
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norvig a écrit
use “raise NotImplementedError” for abstract methods
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norvig a écrit
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norvig a écrit
This is really the pull request from tmrts, but as a novice git user, I couldn't figure out how to do the merge after there were some other changes, so I did it manually. Sorry that you don't get official credit, tmrts, but thanks!
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- 04 mar., 2016 3 validations
- 04 nov., 2011 1 validation
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withal a écrit
* Use weighted_sampler() for the sampling. * By not using a defaultdict, keep n_obs always up to date. * Don't inherit from ProbDist, at least for now, since we don't use anything from the superclass, and if we did it would break (e.g. __setitem__). * Remove __len__ since nobody uses it. * Use heapq.nlargest. Also separate random doctests from others, and tweak docs.
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- 29 oct., 2011 4 validations
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withal a écrit
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withal a écrit
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withal a écrit
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withal a écrit
* graph_search missed deduping nodes in the frontier * astar_search didn't use 3rd-edition pseudocode * InstrumentedProblem didn't forward the path_cost method, so all the doctest results on instrumented cost-sensitive problems were wrong Also filled in breadth_first_search and per-node memoization of h (to fulfill the doc comment saying that was done). There's a remaining problem that sometimes trivial refactorings change the amount of search that is done, slightly, which should not happen since the code is supposed to be deterministic.
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