is supposed to return an answer when errT converges, not errV
used to return size of when err_val converges but is supposed to return the size with minimum err_val

* removed flake8 errors

* fixed remaining flake8 errors

* fixed loop

* added space

* Create function to initialize random weights

* Add sigmoid derivative function

* Update csp.py

* Add test

* Update learning.ipynb

* Update test_learning.py

* Resolve conflicts

* Update rl.py

* Update mdp.py

* Minor changed to rl notebook

* Update test_mdp.py

* Update mdp.py

* start planning notebook

* reorder cell execution order

* incorporating suggestions

* Fix flake8 warnings

* Remove unnecessary #noqa

* Fix doctest

* Modified relevant_pages()

* Additional tests for relevant_pages()

* Update learning.ipynb

* Delete perceptron.png

* Add new Perceptron image

* Update Perceptron Implementation

* Add Gaussian Function

* Added Tests

Add tests for Continuous Naive Bayes + Means/Standard Deviation

* Update learning.py

* Commenting Fix

* Add test for gaussian

* test for every class

* Update test_learning.py

* Round float results to make sure test passes

* Added test for FIFOQueue

* Updated FIFOQueue

* Updated FIFOQueue

* FIFOQueue using deque

* fixed flake8 warnings

* 'test_logic.py typo fixed(#425)

* typo 'logic_test.py' fixed(#425)

* replace assert with if test in add_thing

* removed inline assert

* added unit test to check edit

* improve user interface

* Add test for determineInlinks()

* Add test for HITS()

* fixed premature updation

* Refactor code to match pseudocode

* Added test_rl.py

* Update test_rl.py

Accidentally left "agent.U == 0" in. It was there for some testing of mine.

* Removed redundant condition

* moved gola_test inside function

* refactor goal_test()

* Update learning.py

* Update test_learning.py

* Update test_learning.py

* define HLA, Problem and implement 11.1

* add demonstration of job_shop_problem

* implementing 11.5

* adding test for refinement

* Update search.ipynb

* Delete comparision.PNG

* Delete mutation.png

* Delete Crossover.png

* Add images

* Update search.ipynb

* Update search.py

* Update test_search.py

* minor edits and notes

* removed fuzzywuzzy

* Add 8-Queens Test

* Optimization without veering from pseudocode

* Variable renaming

* Update search.py

* Optimization

* Update test_search.py

* Fairer reproduction

Implemented Genetic Algorithm. Because #477 had unnecessary edits,

* Update learning.py

converted method sample(self) to propety and removed the call in the statement return self.sampler

* Update search.py

minor code formatting.

* Implmented GA

Implemented Genetic Algoritm in search.py and search.ipynb

* implemented Genetic Algorithm in search.py and made modifications according to flake8. Demonstrated the working of GA iin search.ipynb.

* implemented Genetic Algorithm in search.py and made modifications according to flake8. Demonstrated the working of GA iin search.ipynb.

* Updated GA in search.ipynb

Removed the image links and included the images used in the image
folder. Reduced the file size from 2.4 MB to 183 KB. For every 21 print
statements that we previously had, now we have 2, only printing the
fittest individual in each generation. The instructions has been made to
get the detailed output.

* Delete aima-python.iml

* Delete misc.xml

* Delete modules.xml

* Delete workspace.xml

* Update learning.py

* Update search.py

* Add files via upload

* Add grade_learner

* Update test_learning.py

* Fixed normalize()

* Update test for normalize()

added test for count() and mode()