hiive/mlrose issues and pull requests

#36 - Add FourPeaksGenerator class imports to init files

Pull Request - State: closed - Opened by harrisonfloam 5 months ago

#35 - Revert all method names for backwards compatibility

Pull Request - State: closed - Opened by knakamura13 5 months ago - 1 comment

#34 - random hill climbing should reset problem

Pull Request - State: closed - Opened by MatthewCaseres 9 months ago

#33 - Add generator classes for FourPeaks and OneMax

Pull Request - State: closed - Opened by harrisonfloam 11 months ago

#32 - Solve NeuralNetwork .classes_ attribute issue in newer versions of sk-learn

Pull Request - State: closed - Opened by harrisonfloam 11 months ago

#31 - improvements to nncore and neural_network code, better compatibility with sklearn

Pull Request - State: closed - Opened by kotoroshinoto 12 months ago - 3 comments

#30 - Allow k-queens to be a maximisation problem

Pull Request - State: closed - Opened by AlexWendland 12 months ago

#29 - Correct k-colour fitness function

Pull Request - State: closed - Opened by AlexWendland 12 months ago - 1 comment

#28 - fixing maximization condition for queens generator

Pull Request - State: closed - Opened by athomas125 about 1 year ago - 3 comments

#27 - Update return value in simulated annealing to match return value coun…

Pull Request - State: closed - Opened by MatthewFletcher about 1 year ago

#26 - six peaks bug/MIMIC slowness

Pull Request - State: closed - Opened by jlm429 about 1 year ago - 2 comments

#25 - changed mimic_runner.py default values

Pull Request - State: closed - Opened by jlm429 about 1 year ago

#24 - bug fix in fitness score for original backprop

Pull Request - State: closed - Opened by wyang36 about 1 year ago

#23 - Runners not os independent

Pull Request - State: closed - Opened by killyosaur over 1 year ago

#22 - Fixing mlrose to work with latest version of JobLib

Pull Request - State: closed - Opened by killyosaur over 1 year ago - 2 comments

#21 - update max k color test

Pull Request - State: closed - Opened by cbhyphen about 2 years ago

#20 - fix error save result on nn runner

Pull Request - State: closed - Opened by rendybjunior over 2 years ago - 1 comment

#19 - Revert "Update readme typo"

Pull Request - State: closed - Opened by hiive over 2 years ago

#18 - Update readme typo

Pull Request - State: closed - Opened by sareini over 2 years ago

#17 - neural net rhc: use different initial weights for each restart

Pull Request - State: closed - Opened by brokensandals almost 3 years ago

#16 - Update max_k_color.py

Pull Request - State: closed - Opened by dreadn0ught almost 3 years ago - 1 comment

#15 - Update setup.py

Pull Request - State: closed - Opened by dreadn0ught almost 3 years ago

#14 - include samples in setup packages

Pull Request - State: closed - Opened by dsctt almost 3 years ago

#13 - enable maximize for k colors

Pull Request - State: closed - Opened by sareini over 3 years ago

#12 - [Feature] Added leaky_relu activation function

Pull Request - State: closed - Opened by Agrover112 almost 4 years ago - 8 comments

#11 - Add import instruction to help first-time users

Pull Request - State: closed - Opened by austin-bowen almost 4 years ago - 2 comments

#10 - Adding clarification to max k-coloring problem

Pull Request - State: closed - Opened by KevinJBoyer almost 4 years ago

#9 - return the correct fitness curve for mimic and sa

Pull Request - State: closed - Opened by kunla almost 4 years ago

#8 - track the number of fitness function evaluations per iteration, added…

Pull Request - State: closed - Opened by kunla almost 4 years ago - 4 comments

#7 - Fix import error during install: moving version to setup.py

Pull Request - State: closed - Opened by ksbeattie almost 4 years ago

#6 - Added version (and incremented from 2.1.3 to 2.1.4)

Pull Request - State: closed - Opened by dstrube1 over 4 years ago

#5 - Fix gradient of ReLU for non-positive values

Pull Request - State: closed - Opened by sridatta over 4 years ago - 1 comment

#4 - Added version (and incremented from 2.1.3 to 2.1.4)