* Probability: Notebook + gibbs_ask test (aimacode#653) * probability notebook * Update test_probability.py * Update README.md * add gsoc write-ups (aimacode#654) * Fix typo in docstring (aimacode#660) * Fixed Key Error bug in CustomMDP (aimacode#658) * fixed Key Error bug in CustomMDP and reordered the return values of T function to be consistent with GridMDP * removing idea files from git * fix typos & grammar (aimacode#656) * Update README.md (aimacode#669) * '>' to '>=' (aimacode#668) * fix typo for issue#664 (aimacode#665) * Adding Tkinter GUI (aimacode#661) * tic-tac-toe gui added * Added GUI for Searching * Added Legend and Minor Fix * Minor Fix and Options added * Added Breadth-First Tree Search * Added Depth-First Tree Search * Minor Fix * Added Depth-First Graph Search * Fixed typo (aimacode#675) Closes aimacode#673 * Adding Tkinter GUI (2) and Visualization in notebook (aimacode#670) * tic-tac-toe gui added * Added GUI for Searching * Added Legend and Minor Fix * Minor Fix and Options added * Added Breadth-First Tree Search * Added Depth-First Tree Search * Minor Fix * Added Depth-First Graph Search * Minor Fix * Breadth-First Search and Minor Fix * Added Depth-First Graph Search in notebook * Added Depth-First Tree Search in notebook * Cell Placement * Adding Tkinter GUI (aimacode#677) * tic-tac-toe gui added * Added GUI for Searching * Added Legend and Minor Fix * Minor Fix and Options added * Added Breadth-First Tree Search * Added Depth-First Tree Search * Minor Fix * Added Depth-First Graph Search * Minor Fix * Breadth-First Search and Minor Fix * Added Depth-First Graph Search in notebook * Added Depth-First Tree Search in notebook * Cell Placement * Added Uniform Cost Search in GUI * update genetic algorithm (aimacode#676) * Fix small typo in documentation (aimacode#681) * Update search.py (aimacode#680) * Added A*-Search in GUI (aimacode#679) * add Astar heuristics (aimacode#685) * Add simulated annealing visualisation through TSP (aimacode#694) Partially solves aimacode#687 * Added Decision Tree Learner example to learning.ipynb. (aimacode#686) * added example for Decision Tree Learner * fixed docstring in learning.py and description in learning.ipynb * Adding Tkinter GUI (aimacode#693) * Added Vacuum Agent * Minor Fix * Improved Font * Added XYVacuumEnv * Minor Fix * Review changes * Update PeakFindingProblem code to allow diagonal motion (aimacode#684) * Update PeakFindingProblem code to allow diagonal motion * Fix unit test issues * update PeakFindingProblem to take actions as input param * Refactor code in search.py * Visualisation of TSP. (aimacode#699) Add features like selecting cities to be part of tsp, controlling temperature and speed of animation. * Add reset button for XYEnv (aimacode#698) * Solve Issue of Loading search.ipynb (aimacode#689) * rebase with master * solve error * solve error * solve error * Update search.ipynb * Fixed issue aimacode#700 (aimacode#701) * Explanation of genetic algorithm functions with an example. Fixed aimacode#696 (aimacode#702) * Added explanation of Genetic Algorithm functions using an example * Added GUI version of genetic algorithm example (phrase generation problem) * added Best First search in search.ipynb (aimacode#708) * added Best First search * fixed minor conflicts * minor changes * Adding algorithm selection menu for TSP (aimacode#706) * Added dropdown option to solve using genetic algorithm * Added option to solve using Hill Climbing * Added messagebox to confirm exit * added function to implement uniform crossover (aimacode#704) * Updated move dictionary (aimacode#715) * improved search.ipynb (aimacode#716) * added submodule * removed duplicates * minor changes * Update README.md * removed an unwanted commit * Added GridMDP editor to create and solve grid-world problems (Closes aimacode#713) (aimacode#719) * Added GridMDP editor to create and solve grid-world problems * Added reference to grid_mdp.py in mdp.ipynb * Replacing %psource with psource function * Print matrix to console as well * modify AC3 algorithm (aimacode#717) * added submodule * fixed ac3 in csp.py * added a test to verify the modified ac3 algorithm in csp.py * Update .gitmodules * Add vacuum_world.ipynb (aimacode#721) * Added vacuum_world.ipynb * Add psource for environment * Add explanation for Simple Problem Solving Agent (aimacode#724) * Add SimpleProblemSolvingAgent * Fix typo in search.py * Added more tests for mdp.py (aimacode#722) * Update vacuum_world.ipynb (aimacode#725) * Adaboost example (aimacode#739) * added overview for AdaBoost * added implementation for AdaBoost * added example for AdaBoost * added tests for AdaBoost * rephrased sentences * final changes to AdaBoost * changed adaboost tests to use grade_learner * grammar check * Enhanced mdp notebook (aimacode#743) * Added Policy Iteration section * Removed ambiguous test * Capitalized header * Added images * Added section for sequential decision problems * Update search.ipynb (aimacode#726) * Fix EightPuzzle class implementation in search.py (aimacode#710) (aimacode#733) * Fix EightPuzzle class implementation * Fix EightPuzzle class implementation (aimacode#710) * Address style issues (aimacode#710) * Modified table for TableDrivenVacuumAgent (aimacode#738) * Enhanced explanation of value iteration (aimacode#736) * Enhanced explanation of value iteration * Fixed minor typo * Minor enhancement to grid_mdp editor (aimacode#734) * Fixed reset function to reset placeholder variables as well * Added functionality to display best policy * Fix aimacode#731: Add table and tests for TableDrivenVacuumAgent (aimacode#732) * Add test for TableDrivenVacuumAgent * Debug Travis * Minor fix * Fixed table for TableDrivenAgent * Update README * Update text.py (aimacode#740) * Fix aimacode#741: Add learning agent to vacuum_world.ipynb (aimacode#742) * Modified table for TableDrivenVacuumAgent * Add learing agent * Add image for learning agent * Learning: Neural Net Test + Minor Styling Fix (aimacode#746) * Update learning.py * Update test_learning.py * Fix various typos. (aimacode#750) * Added tests for information_content (aimacode#753) * Added tests for information_content Added some tests for information_content function from learning.py * Added test for information_content * Added Node in search.ipynb (aimacode#761) * fixing build * Update README.md (aimacode#767) * Minor update in search.ipynb (aimacode#763) * Update nlp_apps.ipynb (aimacode#764) * Updated README.md (aimacode#771) * Update README.md * Update SUBMODULE.md * added Done tag for adaboost (aimacode#774) * csp.ipynb: removed some typos (aimacode#769) * Update README.md * Add test for table_driven_agent_program and Random_agent_program (aimacode#770) * Add test for table driven agent * Some style fixes * Added done to tabledrivenagent test in readme * Added randomAgentProgram test to test_agents.py * Added Import randomAgentProgram * Style fixes * Added the done tag tp tabledrivenagent test * Update README.md (aimacode#773) * Fixed typos and added inline LaTeX to mdp.ipynb (aimacode#776) * Fixed typos and added inline LaTeX * Fixed more backslashes * Added mdp_apps notebook (aimacode#778) * Added mdp_apps notebook * Added images * LaTeX formatting errors fixed * Minor fix in typo (aimacode#779) * Minor typos (aimacode#780) * Added TableDrivenAgentProgram tests (aimacode#777) * Add tests for TableDrivenAgentProgram * Add tests for TableDrivenAgentProgram * Check environment status at every step * Check environment status at every step of TableDrivenAgentProgram * Enhanced mdp_apps notebook (aimacode#782) * Added pathfinding example * Added images * Backgammon implementation (aimacode#783) * Create model classes for backgammon * Add game functions to model * Implement expectiminimax function * Correct logic in some functions * Correct expectiminimax logic * Refactor code and add docstrings * Remove print statements * Added section on Hill Climbing (aimacode#787) * Added section on Hill Climbing * Added images * Updated README.md * Added test for simpleProblemSolvingAgentProgram (aimacode#784) * Added test for simpleProblemSolvingAgent * Some Style fixes * Fixed update_state in test_search.py * Fix MDP class and add POMDP subclass and notebook (aimacode#781) * Fixed typos and added inline LaTeX * Fixed backslash for inline LaTeX * Fixed more backslashes * generalised MDP class and created POMDP notebook * Fixed consistency issues with base MDP class * Small fix on CustomMDP * Set default args to pass tests * Added TableDrivenAgentProgram tests (aimacode#777) * Add tests for TableDrivenAgentProgram * Add tests for TableDrivenAgentProgram * Check environment status at every step * Check environment status at every step of TableDrivenAgentProgram * Fixing tests * fixed test_rl * removed redundant code, fixed a comment * Ignoring .DS_Store for macOS (aimacode#788) * Removed a repeating cell (aimacode#789) * Updated index (aimacode#790) * Updated README.md (aimacode#794) * Replace Point class with dict (aimacode#798) * Add to rl module (aimacode#799) * Ignoring .DS_Store for macOS * Added Direct Utility Estimation code and fixed notebook * Added implementation to README.md * Added tt-entails explanation (aimacode#793) * added tt-entails explanation * Updated README.md * Added simple problem solving agent in search.ipynb (aimacode#795) * Update README.md (aimacode#796) * Resolved merge conflicts in mdp.ipynb (aimacode#801) * Resolved merge conflicts * Rerun * Metadata restored * Added to-cnf (aimacode#802) * Update CONTRIBUTING.md (aimacode#806) * Remove commented codes in agents.ipynb (aimacode#805) * Minor formatting issues (aimacode#832) * Add injection A new function, `injection` for dependency injection of globals (for classes and functions that weren't designed for dependency injection). * styling and several bug fixes in learning.py (aimacode#831) * styling changes and bug fixes in learning.py * Fix aimacode#833 and other pep corrections in mdp.py * minor change mdp.py * renamed train_and_test() to train_test_split() aimacode#55 aimacode#830 * typo fix * Added DPLL and WalkSAT sections (aimacode#823) * Added dpll section * Updated README.md * Added WalkSAT section * Updated README.md * Added test for SimpleReflexAgentProgram (aimacode#808) * Added test for simpleReflexAgent * Fixed a bug * Fixed another bug * Move viz code + changes to search (aimacode#812) * Updating submodule * Moved viz code to notebook.py + changes * Changed use of 'next' * Added networkx to .travis.yml * Added others to .travis.yml * Remove time from .travis.yml * Added linebreaks and fixed case for no algo * Fixed spaces for args * Renamed *search as *search_for_vis * Added air_cargo to planning.ipynb (aimacode#835) * Added air_cargo to planning.ipynb * Some style issues * fixed all instances of issue aimacode#833 (aimacode#843) * test commit * agents.ipynb * agents.ipynb * Fixed all the instances of issue aimacode#833 * minor fix and cleared change in agents.ipynb * Added min-conflicts section (aimacode#841) * Added section on min-conflicts * Refactor one-liner for loop * Added tests for min_conflicts and NQueensCSP * Rewrote parts of search.ipynb (aimacode#809) * Rewrote parts of search.ipynb * Fixed typo and cleared cell output * Added pl-fc-entails section (aimacode#818) * Added pl-fc-entails section * Updated README.md * Updated filename * Added tests for pl-fc-entails * Review fixes * Implemented HybridWumpusAgent (aimacode#842) * Added WumpusKB for use in HybridWumpusAgent * Implemented HybridWumpusAgent added WumpusPosition helping class. * Forward-Backward examples added to the probability.ipynb. Fixes issue aimacode#813 (aimacode#827) * Forward-Backward examples added to the ipynb. Fixes issue aimacode#813 * Forward-Backward examples added to the probability.ipynb. Fixes issue aimacode#813 * Convert Latex syntax to Markdown except from the equations with subscript characters * Add test for TableDrivenAgentProgram. (aimacode#749) Fixes aimacode#748. * Refactored EightPuzzle class (aimacode#807) * Refactor EightPuzzle class * return instead of print * Added tests for EightPuzzle * Review fixes * Review fixes * Fixed tests * Update inverted commas in docstrings * Changed plotting function for NQueensCSP (aimacode#847) * Updated README.md * Added function to plot NQueensProblem * Added queen image * Changed plotting function for NQueensCSP * Replaced f'{}' with .format() notation * Added Pillow to travis.yml * Refactored N-Queens problem (aimacode#848) * NQueensProblem returns tuples as states * Reran search.ipynb * List to tuple * Changed default value and add heuristic function * Added astar_search for NQueensProblem * Added tests for NQueensProblem * Fix various issues in backgammon and expectiminimax (aimacode#849) * Fix expectiminimax and utility issues * Correct result function * Fix issue with dice roll in different states * Refactor code * Added missing tests (aimacode#854) * Added Random Forest Learner in learning.ipynb (aimacode#855) * fix aimacode#844 Added Random Forest Learner * Update learning.ipynb * Update learning.ipynb * Add files via upload * Updated image source * Added Random Forest in contents section * Added sections on learning.ipynb (aimacode#851) * Updated README.md (aimacode#864) * Added missing execution_count (aimacode#867) * updated vacuum_world.ipynb (aimacode#869) * fixed typos * fixed several typos * Corrected test_compare_agents() function TrivialVacuumEnvironment was missing a pair of parenthesis while creating the "environment" object of the TrivialVacuumEnvironment class ModelBasedVacuumAgent and ReflexVacuumAgent were also missing parenthesis while creating the "agents" object. * Reverted changes made to test_compare_agents() * fixed typo * Assemble all backgammon code in a single class (aimacode#868) * Remove BackgammonBoard class * Refactor code * Added Simulated Annealing to search notebook (aimacode#866) * A few helper functions * Added Simulated Annealing * Updated README.md * Refactored WumpusKB and HybridWumpusAgent to use Expr obejcts (aimacode#862) * Added ask_with_dpll to WumpusKB * Refactored WumpusKB * Refactored HybridWumpusAgent * No need for ask_with_dpll, fix typos * override ask_if_true in WumpusKB * remove extra line * Added gui version for eight_puzzle (aimacode#861) * Added SATPlan to logic.ipynb (aimacode#857) * Added SATPlan to logic.ipynb * Updated README.md * Removed all Rule mechanism (aimacode#859) * Correction in the formula for mean square error (aimacode#850) * added min_consistent_det to knowledge.ipynb (aimacode#860) * added min_consistent_det to knowledge.ipynb * some minor changes * Added function and test cases for cross-entropy loss (aimacode#853) * Correction in the formula for mean square error * Added cross-entropy loss * Test case for cross-entropy loss * Decimal point mistake * Added spaces around = and == * Added test case for CYK_parse (aimacode#816) * added test case for CYK_parse * added testcase for CYK_parse * corrected spacing * fixed issues like alignment, missing comma etc. * test case for double tennis problem * Update planning.py removed commented print statements. * refactored FIFOQueue, Stack, and PriorityQueue (aimacode#878) * Added Depth Limited Search in search.ipynb (aimacode#876) * Added Depth Limited Search in search.ipynb * Made changes in depth limited search * Implemented plan_route and plan_shot (aimacode#872) * define plan_route, plan_shot and refactor code * minor changes * Added PlanRoute Problem class * update plan_route return list of actions ( node.solution() ) instead of node itself in plan_route * add federalist papers classification (aimacode#887) * Update nlp_apps.ipynb (aimacode#888) * Added ensemble learner (aimacode#884) * Added ensemble learner in learning.ipynb * Added ensemble_learner.jpg * Update learning.ipynb * Update learning.ipynb * Added Iterative deepening search in search.ipynb (aimacode#879) * Added linear learner (aimacode#889) * Added linear learner in learning.ipynb * Update learning.ipynb * Update learning.ipynb * Update learning.ipynb * Renaming image (aimacode#900) * deleting * reuploading * Fixed errors occurred in search.ipynb due to refactoring (aimacode#902) * refactored changes * added DLS and IDS to readme * added have_cake_and_eat_cake_too (aimacode#906) * added have_cake_and_eat_cake_too * renamed effect_neg to effect_rem * added have_cake_and_eat_cake_too to readme * added details to Problems in planning.ipynb Added more information for the problems Air Cargo, Spare Tire, Three Block Tower, Have Cake and Eat Cake Too. * removed a test from planning.py A test for three block tower problem is written here. I have removed it. * Style fixes * minor style fix * fixed a typo * minor fixes some sentence issues * minor changes * minor fixes * Add play_game function and fix backgammon game play issues (aimacode#904) * Resolve recursion issue in Backgammon class * Handle empty action list in player functions * Add play_game method for backgammon * Refactor functions * Update argmax function call * Fixed errors in notebooks (aimacode#910) * corrected cell type * fixed umbrella_prior not defined error * minor changes * [WIP] Refactor planning.py (aimacode#921) * GraphPlan fixed * Updated test_planning.py * Added test for spare_tire * Added test for graphplan * Added shopping problem * Added tests for shopping_problem * Updated README.md * Refactored planning notebook * Completed shopping problem * Refactors * Updated notebook * Updated test_planning.py * Removed doctest temporarily * Added planning graph image * Added section on GraphPlan * Updated README.md * Removed append (aimacode#920) * Fixes problems in mdp.py (aimacode#918) * Added MDP2 class * Updated loop termination condition in value_iteration * comment in method alphabeta_search (aimacode#914) should be '# Body of alphabeta_search:' * Include stochastic game class and generic expectiminimax (aimacode#916) * Add stochastic game class * Update backgammon class * Update Expectiminimax * Fix lint issues * Correct compute_utility function * Minor update to planning.py (aimacode#923) * PDDLs and Actions can now be defined using Exprs as well as Strings * Minor refactors * Minor refactor on a variable name (aimacode#925) * Added a line to child node `child_node` method of `Node` uses the `problem.result` which returns normally a state not a node according to its docstring in `Problem`. Naming the variable `next_node` can be confusing to users when it actually refers to a resulting state. * Update search.py * Update search.py * Minor refactors (aimacode#924) * Refactored HLA * Refactors * Refactored broken tests * Cleaned up duplicated code * Cleaned up duplicated code * Added TotalOrderPlanner * Linearize helper function * Added tests for TotalOrderPlanner * Readd sussman anomaly test * Added Logarithmic Naive Bayes Learner. (aimacode#928) * test case for zebra problem * Revert "Merge remote-tracking branch 'upstream/master'" This reverts commit 5ceab1a, reversing changes made to 34997e4. * discarded HEAD changes for merge * added ensemble_learner jpeg * updated travis and search * Added logarithmic learner in nlp_apps (aimacode#890) * Remove zebra tests * revised Bayes learner explanation * added missing SimpleReflexAgent from upstream * Added PartialOrderPlanner (aimacode#927) * Added PartialOrderPlanner * Added doctests * Fix doctests * Added tests for PartialOrderPlanner methods * Added test for PartialOrderPlanner * Rerun planning.ipynb * Added notebook section for TotalOrderPlanner * Added image * Added notebook section for PartialOrderPlanner * Updated README.md * Refactor double tennis problem * Refactored test for double_tennis_problem * Updated README.md * Added notebook sections for job_shop_problem and double_tennis_problem * Updated README.md * Fixed refinements example * Added go_to_sfo problem * Rename TotalOrderPlanner * Renamed PDDL to PlanningProblem * Added POMDP-value-iteration (aimacode#929) * Added POMDP value iteration * Added plot_pomdp_utility function * Added tests for pomdp-value-iteration * Updated README.md * Fixed notebook import * Changed colors * Added notebook sections for POMDP and pomdp_value_iteration * Fixed notebook parsing error * Replace pomdp.ipynb * Updated README.md * Fixed line endings * Fixed line endings * Fixed line endings * Fixed line endings * Removed numpy dependency * Added docstrings * Fix tests * Added a test for pomdp_value_iteration * Remove numpy dependencies from mdp.ipynb * Added POMDP to mdp_apps.ipynb * Information Gathering Agent and probability notebook update (aimacode#931) * Formatting fixes * Added runtime comparisons of algorithms * Added tests * Updated README.md * Added HMM explanation and contents tab * Added section on fixed lag smoothing * Added notebook sections on particle filtering and monte carlo localization * Updated README.md * Minor formatting fix * Added decision networks and information gathering agent * Added notebook sections for decision networks and information gathering agent * Updated README.md * minor spacing * more minor spacing * Angelic_search (aimacode#940) * Added angelic search to planning code * Added unit tests for angelic search * Created notebook planning_angelic_search.ipynb * Fixed refinements function for HLAs * Hierarchical (aimacode#943) * created notebooks for GraphPlan, Total Order Planner and Partial Order Planner * Added hierarchical search and tests * Created notebook planning_hierarchical_search.ipynb * Added making progress and tests, minor changes in decompose * image for planning_hierarchical_search.ipynb * Updated the status of angelic_search and hierarchical_search. * Notebook updates (aimacode#942) * Added notebook section for DTAgentProgram * Updated README.md * Minor * Added TODO to fix pomdp tests * Added notebook section on AC3 * Added doctests to agents.py * Fixed pomdp tests * Fixed a doctest * Fixed pomdp test * Added doctests for rl.py * Fixed NameError in rl.py doctests * Fixed NameError in rl.py doctests * Minor fixes * Minor fixes * Fixed ImportErrors * Fixed all doctests * Search notebook update (aimacode#933) * Added tests for online dfs agent * Minor formatting fixes * Completed notebook sections * Updated README.md * Fixed a test * Added new algorithms to display_visual notebook function * Added RBFS visualization * Foil (aimacode#946) * Modified FOIL_container * Added unit tests for FOIL_container functions * Added knowledge_current_best notebook * Added knowledge_FOIL notebook * Added knowledge_version_space notebook * Added images for knowledge_FOIL notebook * knowledge.ipynb replaced by knowledge_current_best.ipynb, knowledge_version_space.ipynb, knowledge_FOIL.ipynb * modify knowledge.py * Updated FOIL entry. * Minor modifications in planning_angelic_search.ipynb and knowledge_FOIL.ipynb notebooks (aimacode#949) * Minor modifications in planning_angelic_search.ipynb and knowledge_FOIL.ipynb notebooks. * added matplotlib to requirements.txt * Update requirements.txt * Update requirements.txt * Update requirements.txt * Logic notebook update (aimacode#932) * Added KB_AgentProgram and subst * Added doctests * Updated README.md * Fixed doctest * Fixed doctest * Fixed doctest * Added definite_clauses_KB to logic.py * Fixed a doctest, again * Fixed another doctest * Fixed another doctest * Moved unnecessary doctests to unit tests * Added unit test for ModelBasedReflexAgent * Added unit test for ModelBasedReflexAgent * Updated README.md * Minor fix * Fixed a doctest * Update README.md * Remove unnecessary goal test in search.py (aimacode#953) Remove unnecessary initial goal test in best_first_graph_search. The loop will catch that case immediately. * Minor Changes in Text (aimacode#955) * Minor text change (aimacode#957) To make it more accurate. * Minor change in text (aimacode#956) To make it more descriptive and accurate. * Added relu Activation (aimacode#960) * added relu activation * added default parameters * Changes in texts (aimacode#959) Added a few new sentences, modified the sentence structure at a few places, and corrected some grammatical errors. * Change PriorityQueue expansion (aimacode#962) `self.heap.append` simply appends to the end of the `self.heap` Since `self.heap` is just a python list. `self.append` calls the append method of the class instance, effectively putting the item in its proper place. * added GSoC 2018 contributors A thank you to contributors from the GSoC 2018 program! * Revamped the notebook (aimacode#963) * Revamped the notebook * A few changes reversed Changed a few things from my original PR after a review from ad71. * Text Changes + Colored Table (aimacode#964) Made a colored table to display dog movement instead. Corrected grammatical errors, improved the sentence structure and corrected any typos found. * Fixed typos (aimacode#970) Typos and minor other text errors removed * Fixed Typos (aimacode#971) Corrected typos + minor other text changes * Update intro.ipynb (aimacode#969) * Added activation functions (aimacode#968) * Updated label_queen_conflicts function (aimacode#967) Shortened it, finding conflicts separately and storing them in different variables has no use later in the notebook; so i believe this looks better. * Removed the Assignment of a variable to itself (aimacode#976) * activate pruning inside `forward_checking` (aimacode#975) Otherwise `csp.curr_domains` may not be available for the loop that follows. * Fixed aimacode#972 (aimacode#973) * usa missing AZ (Arizona) as neighbor to NM (new mexico) (aimacode#977) `usa` in csp.py incorrectly has NM not being a neighbor with AZ. * Added more examples (aimacode#979) * Fixed small errors (aimacode#987) * fixing broken links * solved a typo in nlp.ipynb (aimacode#993) * updating submodule (aimacode#994) * Fix typos for Wupus agent (aimacode#999) * Fix typos for Wupus agent * fix imports * Grammar and typo fixes in logic notebook (aimacode#1002) * Update utils.py * fixed typo * some typos in agents file (aimacode#1008) * some typos in utils.py (aimacode#1017) * Added some test cases to first function in utils.py (aimacode#1016) * added some test cases to first function in utils.py * added space after each comma * Updated the count function in utils.py (aimacode#1013) * improved the count function in utils.py * updated according to PEP style * Updated the sequence function and added test cases (aimacode#1012) * updated the sequence function and added test cases * updated according to the PEP style * update in multimap function in utils.py and added test for it (aimacode#1014) * update in multimap functi n in utils.py and added test for it * made changes according to PEP style * broke the long sentence to 2 shorter sentences * necessary change in learning.py file (aimacode#1011) * no need of if else * no need of if - else . As if hidden_layer_sizes is zero then it will not affect layer_sizes * removed comment * Update learning.py * Fixed a typo in README (pl_fc_entails) (aimacode#1022) * Shuffling data before k-fold loop in cross validation. (aimacode#1028) * Rename search-4e.ipynb to obsolete-search-4e.ipynb * Add files via upload * Add files via upload * Add files via upload * Add files via upload * Add files via upload * some optimizations in knowledge.py (aimacode#1034) * Add files via upload * Update in `NeuralNetLearner` function in `learnign.py` (aimacode#1019) * Update in NeuralNetLearner function * made the changes as suggested * Install dependencies from `requirements.txt` missing in `README.md` (aimacode#1039) * update in Readme.md * updated as per the suggestions in the review. * typo * Reworked PriorityQueue and Added Tests (aimacode#1025) * Reworked PriorityQueue spec Modified: - Priority Queue methods: queue[elem] now returns the first value of elem stored in queue elem in queue now correctly returns whether a copy of element is present regardless of the function value. Apparently the bug was introduced while trying to meet heapq spec del queue[elem] deletes the first instance of elem in queue correctly - Algorithms Same change in best_first_graph_search in romania_problem.py and search.py to make them compatible with the new spec - Tests Introduced 3 tests in test_utils.py to comprehensively test PriorityQueue's new spec * Reworked PriorityQueue spec Modified: - Priority Queue methods: queue[elem] now returns the first value of elem stored in queue elem in queue now correctly returns whether a copy of element is present regardless of the function value. Apparently the bug was introduced while trying to meet heapq spec del queue[elem] deletes the first instance of elem in queue correctly - Algorithms Same change in best_first_graph_search in romania_problem.py and search.py to make them compatible with the new spec - Tests Introduced 3 tests in test_utils.py to comprehensively test PriorityQueue's new spec * closing the old cell window (aimacode#996) * Add files via upload * changed queue to set in AC3 (aimacode#1051) * changed queue to set in AC3 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! * re-added test commented by mistake * Rework agents.ipynb (aimacode#1031) * Reworked Introduction and 1-D environment in agents.py Added: - Table of Contents and overview - A miniscule explanation of all required code from agents.py Modified: - Some grammar and sentences - Structure of the notebook in 1-D environments to make it more coherent Removed: - Outputs from notebook (Makes VCS tough and bugs tough to detect) * Reworked agents in a 2D environment Modified: - Removed global variable turn from 2D park model: Agent programs are not supposed to see anything except percepts - Bump percept is now generated when Dog is about to bump into a wall - Replaced all XYEnvironment with GraphicEnvironment - Gives better readability to both code and output (Previous way of just showing GraphicEnvironment in the end was redundant imo) - Restructured the 2D park and EnergeticBlindDog environment scenario to be more readable Removed: - Redundant Park2D without graphics (subclass of XYEnvironment) * Fixed issue aimacode#1030 Added: - ipython and ipythonblocks packages to requirements.txt * Has some typographic improvements in agents.ipynb * Added output to agents.ipynb * The function truncated_svd() should not return negative singular values. (aimacode#1059) * Added test cases for agents.py (aimacode#1057) * Added WumpusWorld testcases Added: - Testcases in test_agents.py Modified: - Duplicate walls are not added in corners now * Tests for VacuumEnvironment and WumpusEnvironment Added: - Test cases for Explorer actions in WumpusEnvironment - Test cases for VacuumEnvironment Modified: - VacuumAgent correctly disables bump percept when agent sucks dirt after bumping into a wall * Added spaces in tuples to comply with PEP8 * Updates and changes required in CONTRIBUTING.md (aimacode#1055) * Update GSOC link to correctly refer aimacode@GSOC2019 * Correct the underlying typo * Update CONTRIBUTING.md (aimacode#1063) Update CONTRIBUTING.md * Improvement in train_test_split function (aimacode#1067) Improvement in train_test_split function Shuffling has been removed * style fixes * added necessary and unique tests (aimacode#1071) * added necessary and unique tests * some required changes * required changes * Add files via upload * Update test_csp.py (issue aimacode#287) (aimacode#1073) Cover or use at least once in tests classes, methods, and non-debugging functions of csp.py (version 18.04.2019). Issue aimacode#287. * added text classification in nlp_apps (aimacode#1043) * added text classification in nlp_apps * updated as per the changes suggested. * Update learning.py * Bruyang (aimacode#1075) * add monte carlo tree search * add comments to mcts * change model based reflex agent * add games4e.py * recover games4e.ipynb * add tests to mcts * Added coverage report generation to Travis (aimacode#1058) Added: - .coveragerc file to configure report generation Modified: - .travis.yml to start generating reports during build * added class Tfidf (aimacode#1054) * Implementing Class Tfidf * added class of Tfidf * added scoring function BM25 * Revert "Implementing Class Tfidf"

Add Random Forest to learning.ipynb #844

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