examples

Commit Graph

Author	SHA1	Message	Date
zabbasi	7924e0fe21	Fixed tf_operator import for github_issue_summarization example (#527 ) * fixed tf_operator import * updated tf-operator import path * small change * updated PYTHONPATH * fixed syntax error * formating issue	2019-03-14 18:36:58 -07:00
Zhenghui Wang	74378a2990	Add end2end test for Xgboost housing example (#493 ) * Add e2e test for xgboost housing example * fix typo add ks apply add [ modify example to trigger tests add prediction test add xgboost ks param rename the job name without _ use - instead of _ libson params rm redudent component rename component in prow config add ames-hoursing-env use - for all names use _ for params names use xgboost_ames_accross rename component name shorten the name change deploy-test command change to xgboost- namespace init ks app fix type add confest.py change path change deploy command change dep change the query URL for seldon add ks_app with seldon lib update ks_app use ks init only rerun change to kf-v0-4-n00 cluster add ks_app use ks-13 remove --namespace use kubeflow as namespace delete seldon deployment simplify ks_app retry on 503 fix typo query 1285 move deletion after prediction wait 10s always retry till 10 mins move check to retry fix pylint move clean-up to the delete template * set up xgboost component * check in ks component& run it directly * change comments * add comment on why use 'ks delete' * add two modules to pylint whitelist * ignore tf_operator/py * disable pylint per line * reorder import	2019-02-12 06:37:05 -08:00
Jeremy Lewi	1cc4550b7d	GIS E2E test verify the TFJob runs successfully (#456 ) * Create a test for submitting the TFJob for the GitHub issue summarization example. * This test needs to be run manually right now. In a follow on PR we will integrate it into CI. * We use the image built from Dockerfile.estimator because that is the image we are running train_test.py in. * Note: The current version of the code now requires Python3 (I think this is due to an earlier PR which refactored the code into a shared implementation for using TF estimator and not TF estimator). * Create a TFJob component for TFJob v1beta1; this is the version in KF 0.4. TFJob component * Upgrade to v1beta to work with 0.4 * Update command line arguments to match the versions in the current code * input & output are now single parameters rather then separate parameters for bucket and name * change default input to a CSV file because the current version of the code doesn't handle unzipping it. * Use ks_util from kubeflow/testing * Address comments.	2019-01-08 15:06:49 -08:00

Author

SHA1

Message

Date

zabbasi

7924e0fe21

Fixed tf_operator import for github_issue_summarization example (#527 )

* fixed tf_operator import

* updated tf-operator import path

* small change

* updated PYTHONPATH

* fixed syntax error

* formating issue

2019-03-14 18:36:58 -07:00

Zhenghui Wang

74378a2990

Add end2end test for Xgboost housing example (#493 )

* Add e2e test for xgboost housing example

* fix typo

add ks apply

add [

modify example to trigger tests

add prediction test

add xgboost ks param

rename the job name without _

use - instead of _

libson params

rm redudent component

rename component in prow config

add ames-hoursing-env

use - for all names

use _ for params names

use xgboost_ames_accross

rename component name

shorten the name

change deploy-test command

change to xgboost-
namespace

init ks app

fix type

add confest.py

change path

change deploy command

change dep

change the query URL for seldon

add ks_app with seldon lib

update ks_app

use ks init only

rerun

change to kf-v0-4-n00 cluster

add ks_app

use ks-13

remove --namespace

use kubeflow as namespace

delete seldon deployment

simplify ks_app

retry on 503

fix typo

query 1285

move deletion after prediction

wait 10s

always retry till 10 mins

move check to retry

 fix pylint

move  clean-up to the delete template

* set up xgboost component

* check in ks component& run it directly

* change comments

* add comment on why use 'ks delete'

* add two modules to pylint whitelist

* ignore tf_operator/py

* disable pylint per line

* reorder import

2019-02-12 06:37:05 -08:00

Jeremy Lewi

1cc4550b7d

GIS E2E test verify the TFJob runs successfully (#456 )

* Create a test for submitting the TFJob for the GitHub issue summarization example.

* This test needs to be run manually right now. In a follow on PR we will
  integrate it into CI.

* We use the image built from Dockerfile.estimator because that is the image
  we are running train_test.py in.

  * Note: The current version of the code now requires Python3 (I think this
    is due to an earlier PR which refactored the code into a shared
    implementation for using TF estimator and not TF estimator).

* Create a TFJob component for TFJob v1beta1; this is the version
  in KF 0.4.

TFJob component
  * Upgrade to v1beta to work with 0.4
  * Update command line arguments to match the versions in the current code
      * input & output are now single parameters rather then separate parameters
        for bucket and name

  * change default input to a CSV file because the current version of the
    code doesn't handle unzipping it.

* Use ks_util from kubeflow/testing

* Address comments.

2019-01-08 15:06:49 -08:00

3 Commits