0.2.18 (#241)
0.2.18 (#241)

* delete

* Print Information Changes for AutoKeras v0.3 (#229) resolves #224

* Update CONTRIBUTING.md

* Develop (#187)

* merge (#128)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* rm print

* Issue#37 and Issue #79 Save keras model/autokeras model (#122)

* Issue #37 Export Keras model

* Issue #79 Save autokeras model

* Issue #37 and Issue#79 Fixed comments

* Issue #37 and Issue #79

* Issue #37 and Issue #79

* Issue #37 and Issue #79 Fixed pytests

* Issue #37 and Issue #79

* quick fix test

* Progbar (#143)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* contribute guide

* Add Progress Bar

* Update utils.py

* Update search.py

* update constant (#145)

* [WIP] Issue #158 Imageregressor (#159)

* Develop (#146)

* merge (#128)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* rm print

* Issue#37 and Issue #79 Save keras model/autokeras model (#122)

* Issue #37 Export Keras model

* Issue #79 Save autokeras model

* Issue #37 and Issue#79 Fixed comments

* Issue #37 and Issue #79

* Issue #37 and Issue #79

* Issue #37 and Issue #79 Fixed pytests

* Issue #37 and Issue #79

* quick fix test

* Progbar (#143)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* contribute guide

* Add Progress Bar

* Update utils.py

* Update search.py

* update constant (#145)

* Update setup.py (#147)

* Update setup.py

* Update setup.py

* Update setup.py (#155)

* requirements

* Issue #158 Export ImageRegressor model

* Memory (#161)

* aa

* limit memory

* refactor to_real_layer to member functions

* bug fix (#166)

* doc string changed for augment (#170)

I added proper documentation for class ImageSupervised  arg 'augment'. It is 'None' by default. However, if it is 'None', then it uses Constant.DATA_AUGMENTATION which is 'True'. This is misleading when trying things out.

* Update constant.py

* bug fix (#177)

* memory limit dynamically (#180)

* memory limit dynamically

* test

* test fixed

* [MRG]Dcgan (#175)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* finish workable version of gan

* add unit test and small refactoring

* add unsupervised super class

* Fix test_dcgan ran too long issue, put default param in unsupervised::generate(input_sample=None)

* remove examples/gan.py from repo

* add missing import

* correct model_trainer signature

* fixed the bug in return value of train_model()

* Update setup.py

* [WIP]Update CONTRIBUTING.md (#190)

* Update CONTRIBUTING.md

* Update CONTRIBUTING.md

* Update mkdocs.yml

* code_reuse_example

* Update CONTRIBUTING.md

* update develop (#206) (#207)

* Update CONTRIBUTING.md

* Develop (#187)

* merge (#128)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* rm print

* Issue#37 and Issue #79 Save keras model/autokeras model (#122)

* Issue #37 Export Keras model

* Issue #79 Save autokeras model

* Issue #37 and Issue#79 Fixed comments

* Issue #37 and Issue #79

* Issue #37 and Issue #79

* Issue #37 and Issue #79 Fixed pytests

* Issue #37 and Issue #79

* quick fix test

* Progbar (#143)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* contribute guide

* Add Progress Bar

* Update utils.py

* Update search.py

* update constant (#145)

* [WIP] Issue #158 Imageregressor (#159)

* Develop (#146)

* merge (#128)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* rm print

* Issue#37 and Issue #79 Save keras model/autokeras model (#122)

* Issue #37 Export Keras model

* Issue #79 Save autokeras model

* Issue #37 and Issue#79 Fixed comments

* Issue #37 and Issue #79

* Issue #37 and Issue #79

* Issue #37 and Issue #79 Fixed pytests

* Issue #37 and Issue #79

* quick fix test

* Progbar (#143)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* contribute guide

* Add Progress Bar

* Update utils.py

* Update search.py

* update constant (#145)

* Update setup.py (#147)

* Update setup.py

* Update setup.py

* Update setup.py (#155)

* requirements

* Issue #158 Export ImageRegressor model

* Memory (#161)

* aa

* limit memory

* refactor to_real_layer to member functions

* bug fix (#166)

* doc string changed for augment (#170)

I added proper documentation for class ImageSupervised  arg 'augment'. It is 'None' by default. However, if it is 'None', then it uses Constant.DATA_AUGMENTATION which is 'True'. This is misleading when trying things out.

* Update constant.py

* bug fix (#177)

* memory limit dynamically (#180)

* memory limit dynamically

* test

* test fixed

* [MRG]Dcgan (#175)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* finish workable version of gan

* add unit test and small refactoring

* add unsupervised super class

* Fix test_dcgan ran too long issue, put default param in unsupervised::generate(input_sample=None)

* remove examples/gan.py from repo

* add missing import

* correct model_trainer signature

* fixed the bug in return value of train_model()

* Update setup.py

* [WIP]Update CONTRIBUTING.md (#190)

* Update CONTRIBUTING.md

* Update CONTRIBUTING.md

* Update mkdocs.yml

* code_reuse_example

* Update CONTRIBUTING.md

* Update search.py

* Develop (#215)

* update develop (#206)

* Update CONTRIBUTING.md

* Develop (#187)

* merge (#128)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* rm print

* Issue#37 and Issue #79 Save keras model/autokeras model (#122)

* Issue #37 Export Keras model

* Issue #79 Save autokeras model

* Issue #37 and Issue#79 Fixed comments

* Issue #37 and Issue #79

* Issue #37 and Issue #79

* Issue #37 and Issue #79 Fixed pytests

* Issue #37 and Issue #79

* quick fix test

* Progbar (#143)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* contribute guide

* Add Progress Bar

* Update utils.py

* Update search.py

* update constant (#145)

* [WIP] Issue #158 Imageregressor (#159)

* Develop (#146)

* merge (#128)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* rm print

* Issue#37 and Issue #79 Save keras model/autokeras model (#122)

* Issue #37 Export Keras model

* Issue #79 Save autokeras model

* Issue #37 and Issue#79 Fixed comments

* Issue #37 and Issue #79

* Issue #37 and Issue #79

* Issue #37 and Issue #79 Fixed pytests

* Issue #37 and Issue #79

* quick fix test

* Progbar (#143)

* 0.2.6 (#126)

* 0.2.5 setup.py (#111)

* [WIP] Attempts to Fix Memory Error  (#112)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* 0.2.5 setup.py (#110)

* Prevent gpu memory copy to main process after train() finished

* Cast loss from tensor to float

* Add pass() in MockProcess

* [MRG] Search Space limited to avoid out of memory (#121)

* limited the search space

* limited the search space

* reduce search space

* test added

* [MRG]Pytorch mp (#124)

* Change multiprcoessing to torch.multiprocessing

* Replace multiprocessing.Pool with torch.multiprocessing.Pool in tests

* 0.2.6 (#125)

* new release

* auto deploy

* auto deploy of docs

* fix the docs auto deploy

* Create CNAME

* deploy docs fixed

* update

* bug fix (#127)

* setup.py

* contribute guide

* Add Progress Bar

* Update utils.py

* Update search.py

* update constant (#145)

* Update setup.py (#147)

* Update setup.py

* Update setup.py

* Update setup.py (#155)

* requirements

* Issue #158 Export ImageRegressor model

* Memory (#161)

* aa

* limit memory

* refactor to_real_layer to member functions

* bug fix (#166)

* doc string changed for augment (#170)

I added proper documentation for class ImageSupervised  arg 'augment'. It is 'None' by default. However, if it is 'None', then it uses Constant.DATA_AUGMENTATION which is 'True'. This is misleading when trying things out.

* Update constant.py

* bug fix (#177)

* memory limit dynamically (#180)

* memory limit dynamically

* test

* test fixed

* [MRG]Dcgan (#175)

* Add Website Badge in README.md, apply timeout in search function in search.py

* Add timeout in maximize_acq function in search.py

* Update unit test to allow timeout to raise TimeoutError

* Add unit test for timeout resume

* Remove TimeoutError from expectation

* Check Timeout exception in search() in search.py

* finish workable version of gan

* add unit test and small refactoring

* add unsupervised super class

* Fix test_dcgan ran too long issue, put default param in unsupervised::generate(input_sample=None)

* remove examples/gan.py from repo

* add missing import

* correct model_trainer signature

* fixed the bug in return value of train_model()

* Update setup.py

* [WIP]Update CONTRIBUTING.md (#190)

* Update CONTRIBUTING.md

* Update CONTRIBUTING.md

* Update mkdocs.yml

* code_reuse_example

* Update CONTRIBUTING.md

* bug_fix (#208)

* bug_fix (#214) resolves #212

* Update CONTRIBUTING.md

* Update setup.py

* delete (#217)

* Print Information Changes for AutoKeras v0.3

* 0.2.17 (#232)

* readme (#234)

* readme

* contributing

* final fit add to supervised (#240)

* 0.2.18

keras-team/autokeras,keras-team/autokeras,keras-team/autokeras