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* 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
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