GitLab

update nni manager eslint rules.

1. add rule to ignore unused args, and treat other unused as error.
2. add run to treat no explicit function return type as error.
3. fix all errors.

* enable eslint

* remove tslint

* update eslint rules
* auto fix eslint
* manually fix eslint (#1833)

* Refactor multiphase interface

* Implement multiphase on PAI

* update multiphase doc

* fix local and remote training services tslint

* Kubeflow TrainingService support, v1 (#373)

1. Create new Training Service: kubeflow trainning service, use 'kubectl' and kubeflow tfjobs CRD to submit and manage jobs
2. Update nni python SDK to support new kubeflow platform
3. Update nni python SDK's get_sequende_id() implementation, read NNI_TRIAL_SEQ_ID env variable, instead of reading .nni/sequence_id file
4. This version only supports Tensorflow operator. Will add more operators' support in future versions

* Change base image from devel to runtime, to reduce docker image size

* Support running multiple experiment for PAI

* Fix a bug regarding to recuisively reference between paiRestServer and
paiTrainingService

* PAI Training service implementation
**1. Implement PAITrainingService
**2. Add trial-keeper python module, and modify setup.py to install the module
**3. Add PAItrainingService rest server to collect metrics from PAI container.

* Merge latest code changes into Github Master

* temporary modification for travis

* temporary modification for travis