GitLab

* add mnist pytorch example, change links in readme for mnist example

* fix link err in docs

* add spaces

* re-organise links for detailed descriptions of the tuners and accessors; fix link err in HpoComparision.md

* add in-page link by change .md to .html

* delete #section from cross-file links to make links work in both readthedocs and github docs

* gp_tuner init from fmfn's repo

* fix params bug by adding float>int transition

* add optimal choices; support randint&quniform type; add doc

* refine doc and code

* change mnist yml comments

* typo fix

* fix val err

* fix minimize mode err

* add config test and Hpo result

* support quniform type; update doc; update test config

* update doc

* un-commit changed in yarn.lock

* fix optimize mode bug

* optimize mode

* optimize mode

* reset pylint, gitignore

* revert .gitignore yarn.lock

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* update

* fix path

* update reference

* fix bug in config file

* update nni_arch_overview.png

* update

* update

* update

* update home page

* add metis as config choice

support frameworkcontroller log

[Kubeflow training service] Use Kubernete API server to replace kubectl dependency

* Remove unused kubernetesServer config entry in config file and schema validation

* Add distributed mnist training example, to show how to perform distributed training on kubeflow for NNI

* rename folder name to mnist_distributed

* Remove duplicated is_chief check