GitLab

* show experiment name in nnictl list

* remove author name in metadata

# docstr/pylint of GP Tuner & CurveFitting Assessor & MedianStop Assessor

* nni installation test pipeline

* trial docstring

* update docstring of batchtuner

* update docstring of batch tuner

* update docstring of evolution tuner

* update docstring and pylint of metis_tuner

* fix pylint related to logger in metis_tuner

* fix pylint

* update

* fix pylint in metis_tuner

* update in networkmorphsim_tuner

* update

* update

* update docstring in hyperopt_tuner

* update batch_tuner

* delete unused space

* update in metis

* update sdk_reference.rst

* update netowrkmorhism

* update networkmorphsim

* update batch_tuner

* update batch_tuner

* update

* update metis

* roll back to print

* update Returns

* update

* delete white space

* Add Docs for Tuning Systems with NNI

* Updates based on comments

* updates

* updates

* updates

* add export doc

* try to fix pipeline

* locate npm and node version

* override with node in local dir

* refactor path set

* fix install SMAC on macOS

* show failed job log

* Refine gitignore

* add newline at the end

* add more environments

Fix pylint errors

* Add comprehensive tests for tuners (#1570)

* refactor

* Clarify population size needs to be at least concurrency

* Clarify population size needs to be at least concurrency

* fix population size docs

* fix compressor op_types

Update python sdk and nni_annotation to pass pylint rules

changed pylint rules according to previous discussions. 

fix - sklearn/classification example has a typo in the property 'kernel' when setting model parameterss (#1630)

* fix - sklearn/classification example has a typo in the property 'kernel' when setting model parameters

* Add example of tuning RocksDB on NNI as well as its English and Chinese docs

* Update example of tuning rocksdb

* Update for example of RocksDB

* Revert "Update for example of RocksDB"

This reverts commit 89383937511674658520c3e7114c7a12e80cfcee.

* update

* add announcement to model compression doc

* update version number to 1.1

Merge v1.1 back to master

* Refactor package installation

* reformat docstring

* fix issue when user is root

* fix builtin pruners bug

* use type_as

* fix pruner bugs and add model compression README

* fix example bugs

* add AutoCompression.md and remove sensitive pruner

* fix tf pruner bugs

* update overview

* Pruner.md