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fix problems with automl docs #2501

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merged 2 commits into from
Nov 19, 2019

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Today when we try to use the function batch_predict follow the docs we receive and error saying: the paramaters should be a pandas.Dataframe it’s happens because the first parameter of the function batch_predict is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.

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Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.
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sirtorry commented Nov 19, 2019

@leahecole please approve, merge and close the issue. thank you.

@leahecole leahecole requested a review from a team as a code owner November 19, 2019 18:42
@leahecole leahecole added the api: automl Issues related to the AutoML API. label Nov 19, 2019
@leahecole leahecole merged commit 27c5c18 into GoogleCloudPlatform:master Nov 19, 2019
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@sirtorry please tap the techwriter if they need to do a refresh of the page

busunkim96 pushed a commit to busunkim96/python-automl that referenced this pull request Aug 7, 2020
…cs-samples#2501)

Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.
busunkim96 pushed a commit to busunkim96/python-automl that referenced this pull request Aug 13, 2020
…cs-samples#2501)

Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.
arithmetic1728 pushed a commit to googleapis/python-automl that referenced this pull request Aug 13, 2020
* Tables Notebooks [(#2090)](GoogleCloudPlatform/python-docs-samples#2090)

* initial commit
* update census
* update notebooks

* remove the reference to a bug [(#2100)](GoogleCloudPlatform/python-docs-samples#2100)

as the bug has been fixed in the public client lib

* delete this file. [(#2102)](GoogleCloudPlatform/python-docs-samples#2102)

* rename file name [(#2103)](GoogleCloudPlatform/python-docs-samples#2103)

* trying to fix images [(#2101)](GoogleCloudPlatform/python-docs-samples#2101)

* remove typo in installation [(#2110)](GoogleCloudPlatform/python-docs-samples#2110)

* Rename census_income_prediction.ipynb to getting_started_notebook.ipynb [(#2115)](GoogleCloudPlatform/python-docs-samples#2115)

renaming the notebooks as Getting Started (will be in sync with the doc). It will be great if the folder could be renamed too

* added back missing file package import [(#2150)](GoogleCloudPlatform/python-docs-samples#2150)

* added back missing file import [(#2145)](GoogleCloudPlatform/python-docs-samples#2145)

* remove incorrect reference to Iris dataset [(#2203)](GoogleCloudPlatform/python-docs-samples#2203)

* conversion to jupyter/colab [(#2340)](GoogleCloudPlatform/python-docs-samples#2340)

plus bug fixes

* updated for the Jupyter support [(#2337)](GoogleCloudPlatform/python-docs-samples#2337)

* updated readme for support Jupyter [(#2336)](GoogleCloudPlatform/python-docs-samples#2336)

to approve with the updated notebook supporting jupyter

* conversion to jupyer/colab [(#2339)](GoogleCloudPlatform/python-docs-samples#2339)

plus bug fixes

* conversion of notebook for jupyter/Colab [(#2338)](GoogleCloudPlatform/python-docs-samples#2338)

conversion of the notebook to support both Jupyter and Colab + bug fixes

* [BLOCKED] AutoML Tables: Docs samples updated to use new (pending) client [(#2276)](GoogleCloudPlatform/python-docs-samples#2276)

* AutoML Tables: Docs samples updated to use new (pending) client

* Linter warnings

* add product recommendation for automl tables notebook [(#2257)](GoogleCloudPlatform/python-docs-samples#2257)

* added colab filtering notebook

* update to tables client

* update readme

* tell user to restart kernel for automl

* AutoML Tables: Notebook samples updated to use new tables client [(#2424)](GoogleCloudPlatform/python-docs-samples#2424)

* fix users bug and emphasize kernal restart [(#2407)](GoogleCloudPlatform/python-docs-samples#2407)

* fix problems with automl docs [(#2501)](GoogleCloudPlatform/python-docs-samples#2501)

Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.

* Fix typo in GCS URI parameter [(#2459)](GoogleCloudPlatform/python-docs-samples#2459)

* fix: fix tables notebook links and bugs [(#2601)](GoogleCloudPlatform/python-docs-samples#2601)

* feat(tables): update samples to show explainability [(#2523)](GoogleCloudPlatform/python-docs-samples#2523)

* show xai

* local feature importance

* use updated client

* use fixed library

* use new model

* Auto-update dependencies. [(#2005)](GoogleCloudPlatform/python-docs-samples#2005)

* Auto-update dependencies.

* Revert update of appengine/flexible/datastore.

* revert update of appengine/flexible/scipy

* revert update of bigquery/bqml

* revert update of bigquery/cloud-client

* revert update of bigquery/datalab-migration

* revert update of bigtable/quickstart

* revert update of compute/api

* revert update of container_registry/container_analysis

* revert update of dataflow/run_template

* revert update of datastore/cloud-ndb

* revert update of dialogflow/cloud-client

* revert update of dlp

* revert update of functions/imagemagick

* revert update of functions/ocr/app

* revert update of healthcare/api-client/fhir

* revert update of iam/api-client

* revert update of iot/api-client/gcs_file_to_device

* revert update of iot/api-client/mqtt_example

* revert update of language/automl

* revert update of run/image-processing

* revert update of vision/automl

* revert update testing/requirements.txt

* revert update of vision/cloud-client/detect

* revert update of vision/cloud-client/product_search

* revert update of jobs/v2/api_client

* revert update of jobs/v3/api_client

* revert update of opencensus

* revert update of translate/cloud-client

* revert update to speech/cloud-client

Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>

* Update dependency google-cloud-automl to v0.10.0 [(#3033)](GoogleCloudPlatform/python-docs-samples#3033)

Co-authored-by: Bu Sun Kim <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* Simplify noxfile setup. [(#2806)](GoogleCloudPlatform/python-docs-samples#2806)

* chore(deps): update dependency requests to v2.23.0

* Simplify noxfile and add version control.

* Configure appengine/standard to only test Python 2.7.

* Update Kokokro configs to match noxfile.

* Add requirements-test to each folder.

* Remove Py2 versions from everything execept appengine/standard.

* Remove conftest.py.

* Remove appengine/standard/conftest.py

* Remove 'no-sucess-flaky-report' from pytest.ini.

* Add GAE SDK back to appengine/standard tests.

* Fix typo.

* Roll pytest to python 2 version.

* Add a bunch of testing requirements.

* Remove typo.

* Add appengine lib directory back in.

* Add some additional requirements.

* Fix issue with flake8 args.

* Even more requirements.

* Readd appengine conftest.py.

* Add a few more requirements.

* Even more Appengine requirements.

* Add webtest for appengine/standard/mailgun.

* Add some additional requirements.

* Add workaround for issue with mailjet-rest.

* Add responses for appengine/standard/mailjet.

Co-authored-by: Renovate Bot <[email protected]>

* chore: some lint fixes [(#3750)](GoogleCloudPlatform/python-docs-samples#3750)

* automl: tables code sample clean-up [(#3571)](GoogleCloudPlatform/python-docs-samples#3571)

* delete unused tables_dataset samples

* delete args code associated with unused automl_tables samples

* delete tests associated with unused automl_tables samples

* restore get_dataset method/yargs without region tagging

* Restore update_dataset methodsa without region tagging

Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* add example of creating AutoML Tables client with non-default endpoint ('new' sdk) [(#3929)](GoogleCloudPlatform/python-docs-samples#3929)

* add example of creating client with non-default endpoint

* more test file cleanup

* move connectivity print stmt out of test fn

Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Torry Yang <[email protected]>

* Replace GCLOUD_PROJECT with GOOGLE_CLOUD_PROJECT. [(#4022)](GoogleCloudPlatform/python-docs-samples#4022)

* chore(deps): update dependency google-cloud-automl to v1 [(#4127)](GoogleCloudPlatform/python-docs-samples#4127)

This PR contains the following updates:

| Package | Update | Change |
|---|---|---|
| [google-cloud-automl](https://togithub.com/googleapis/python-automl) | major | `==0.10.0` -> `==1.0.1` |

---

### Release Notes

<details>
<summary>googleapis/python-automl</summary>

### [`v1.0.1`](https://togithub.com/googleapis/python-automl/blob/master/CHANGELOG.md#&#8203;101-httpswwwgithubcomgoogleapispython-automlcomparev100v101-2020-06-18)

[Compare Source](https://togithub.com/googleapis/python-automl/compare/v0.10.0...v1.0.1)

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Never, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

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---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#GoogleCloudPlatform/python-docs-samples).

* [tables/automl] fix: update the csv file and the dataset name [(#4188)](GoogleCloudPlatform/python-docs-samples#4188)

fixes #4177
fixes #4178

* samples: Automl table batch test [(#4267)](GoogleCloudPlatform/python-docs-samples#4267)

* added rtest req.txt

* samples: added automl batch predict test

* added missing package

* Update tables/automl/batch_predict_test.py

Co-authored-by: Bu Sun Kim <[email protected]>

Co-authored-by: Bu Sun Kim <[email protected]>

* samples: fixed wrong format on GCS input Uri [(#4270)](GoogleCloudPlatform/python-docs-samples#4270)

## Description

Current predict sample indicates that it can multiples GCS URI inputs but it should be singular.

## Checklist
- [X] Please **merge** this PR for me once it is approved.

* chore(deps): update dependency pytest to v5.4.3 [(#4279)](GoogleCloudPlatform/python-docs-samples#4279)

* chore(deps): update dependency pytest to v5.4.3

* specify pytest for python 2 in appengine

Co-authored-by: Leah Cole <[email protected]>

* Update automl_tables_predict.py with batch_predict_bq sample [(#4142)](GoogleCloudPlatform/python-docs-samples#4142)

Added a new method `batch_predict_bq` demonstrating running batch_prediction using BigQuery.
Added notes in comments about asynchronicity for `batch_predict` method.

The region `automl_tables_batch_predict_bq` will be used on cloud.google.com (currently both sections for GCS and BigQuery use the same sample code which is incorrect).

Fixes #4141

Note: It's a good idea to open an issue first for discussion.

- [x] Please **merge** this PR for me once it is approved.

* Update dependency pytest to v6 [(#4390)](GoogleCloudPlatform/python-docs-samples#4390)

* chore: exclude notebooks

* chore: update templates

* chore: add codeowners and fix tests

* chore: ignore warnings from sphinx

* chore: fix tables client

* test: fix unit tests

Co-authored-by: Torry Yang <[email protected]>
Co-authored-by: florencep <[email protected]>
Co-authored-by: Mike Burton <[email protected]>
Co-authored-by: Lars Wander <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Alefh Sousa <[email protected]>
Co-authored-by: DPEBot <[email protected]>
Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>
Co-authored-by: WhiteSource Renovate <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Anthony <[email protected]>
Co-authored-by: Amy <[email protected]>
Co-authored-by: Mike <[email protected]>
Co-authored-by: Leah Cole <[email protected]>
Co-authored-by: Sergei Dorogin <[email protected]>
wwilusz pushed a commit to wwilusz/automl-gcp that referenced this pull request Jan 18, 2021
* Tables Notebooks [(#2090)](GoogleCloudPlatform/python-docs-samples#2090)

* initial commit
* update census
* update notebooks

* remove the reference to a bug [(#2100)](GoogleCloudPlatform/python-docs-samples#2100)

as the bug has been fixed in the public client lib

* delete this file. [(#2102)](GoogleCloudPlatform/python-docs-samples#2102)

* rename file name [(#2103)](GoogleCloudPlatform/python-docs-samples#2103)

* trying to fix images [(#2101)](GoogleCloudPlatform/python-docs-samples#2101)

* remove typo in installation [(#2110)](GoogleCloudPlatform/python-docs-samples#2110)

* Rename census_income_prediction.ipynb to getting_started_notebook.ipynb [(#2115)](GoogleCloudPlatform/python-docs-samples#2115)

renaming the notebooks as Getting Started (will be in sync with the doc). It will be great if the folder could be renamed too

* added back missing file package import [(#2150)](GoogleCloudPlatform/python-docs-samples#2150)

* added back missing file import [(#2145)](GoogleCloudPlatform/python-docs-samples#2145)

* remove incorrect reference to Iris dataset [(#2203)](GoogleCloudPlatform/python-docs-samples#2203)

* conversion to jupyter/colab [(#2340)](GoogleCloudPlatform/python-docs-samples#2340)

plus bug fixes

* updated for the Jupyter support [(#2337)](GoogleCloudPlatform/python-docs-samples#2337)

* updated readme for support Jupyter [(#2336)](GoogleCloudPlatform/python-docs-samples#2336)

to approve with the updated notebook supporting jupyter

* conversion to jupyer/colab [(#2339)](GoogleCloudPlatform/python-docs-samples#2339)

plus bug fixes

* conversion of notebook for jupyter/Colab [(#2338)](GoogleCloudPlatform/python-docs-samples#2338)

conversion of the notebook to support both Jupyter and Colab + bug fixes

* [BLOCKED] AutoML Tables: Docs samples updated to use new (pending) client [(#2276)](GoogleCloudPlatform/python-docs-samples#2276)

* AutoML Tables: Docs samples updated to use new (pending) client

* Linter warnings

* add product recommendation for automl tables notebook [(#2257)](GoogleCloudPlatform/python-docs-samples#2257)

* added colab filtering notebook

* update to tables client

* update readme

* tell user to restart kernel for automl

* AutoML Tables: Notebook samples updated to use new tables client [(#2424)](GoogleCloudPlatform/python-docs-samples#2424)

* fix users bug and emphasize kernal restart [(#2407)](GoogleCloudPlatform/python-docs-samples#2407)

* fix problems with automl docs [(#2501)](GoogleCloudPlatform/python-docs-samples#2501)

Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.

* Fix typo in GCS URI parameter [(#2459)](GoogleCloudPlatform/python-docs-samples#2459)

* fix: fix tables notebook links and bugs [(#2601)](GoogleCloudPlatform/python-docs-samples#2601)

* feat(tables): update samples to show explainability [(#2523)](GoogleCloudPlatform/python-docs-samples#2523)

* show xai

* local feature importance

* use updated client

* use fixed library

* use new model

* Auto-update dependencies. [(#2005)](GoogleCloudPlatform/python-docs-samples#2005)

* Auto-update dependencies.

* Revert update of appengine/flexible/datastore.

* revert update of appengine/flexible/scipy

* revert update of bigquery/bqml

* revert update of bigquery/cloud-client

* revert update of bigquery/datalab-migration

* revert update of bigtable/quickstart

* revert update of compute/api

* revert update of container_registry/container_analysis

* revert update of dataflow/run_template

* revert update of datastore/cloud-ndb

* revert update of dialogflow/cloud-client

* revert update of dlp

* revert update of functions/imagemagick

* revert update of functions/ocr/app

* revert update of healthcare/api-client/fhir

* revert update of iam/api-client

* revert update of iot/api-client/gcs_file_to_device

* revert update of iot/api-client/mqtt_example

* revert update of language/automl

* revert update of run/image-processing

* revert update of vision/automl

* revert update testing/requirements.txt

* revert update of vision/cloud-client/detect

* revert update of vision/cloud-client/product_search

* revert update of jobs/v2/api_client

* revert update of jobs/v3/api_client

* revert update of opencensus

* revert update of translate/cloud-client

* revert update to speech/cloud-client

Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>

* Update dependency google-cloud-automl to v0.10.0 [(#3033)](GoogleCloudPlatform/python-docs-samples#3033)

Co-authored-by: Bu Sun Kim <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* Simplify noxfile setup. [(#2806)](GoogleCloudPlatform/python-docs-samples#2806)

* chore(deps): update dependency requests to v2.23.0

* Simplify noxfile and add version control.

* Configure appengine/standard to only test Python 2.7.

* Update Kokokro configs to match noxfile.

* Add requirements-test to each folder.

* Remove Py2 versions from everything execept appengine/standard.

* Remove conftest.py.

* Remove appengine/standard/conftest.py

* Remove 'no-sucess-flaky-report' from pytest.ini.

* Add GAE SDK back to appengine/standard tests.

* Fix typo.

* Roll pytest to python 2 version.

* Add a bunch of testing requirements.

* Remove typo.

* Add appengine lib directory back in.

* Add some additional requirements.

* Fix issue with flake8 args.

* Even more requirements.

* Readd appengine conftest.py.

* Add a few more requirements.

* Even more Appengine requirements.

* Add webtest for appengine/standard/mailgun.

* Add some additional requirements.

* Add workaround for issue with mailjet-rest.

* Add responses for appengine/standard/mailjet.

Co-authored-by: Renovate Bot <[email protected]>

* chore: some lint fixes [(#3750)](GoogleCloudPlatform/python-docs-samples#3750)

* automl: tables code sample clean-up [(#3571)](GoogleCloudPlatform/python-docs-samples#3571)

* delete unused tables_dataset samples

* delete args code associated with unused automl_tables samples

* delete tests associated with unused automl_tables samples

* restore get_dataset method/yargs without region tagging

* Restore update_dataset methodsa without region tagging

Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* add example of creating AutoML Tables client with non-default endpoint ('new' sdk) [(#3929)](GoogleCloudPlatform/python-docs-samples#3929)

* add example of creating client with non-default endpoint

* more test file cleanup

* move connectivity print stmt out of test fn

Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Torry Yang <[email protected]>

* Replace GCLOUD_PROJECT with GOOGLE_CLOUD_PROJECT. [(#4022)](GoogleCloudPlatform/python-docs-samples#4022)

* chore(deps): update dependency google-cloud-automl to v1 [(#4127)](GoogleCloudPlatform/python-docs-samples#4127)

This PR contains the following updates:

| Package | Update | Change |
|---|---|---|
| [google-cloud-automl](https://togithub.com/googleapis/python-automl) | major | `==0.10.0` -> `==1.0.1` |

---

### Release Notes

<details>
<summary>googleapis/python-automl</summary>

### [`v1.0.1`](https://togithub.com/googleapis/python-automl/blob/master/CHANGELOG.md#&#8203;101-httpswwwgithubcomgoogleapispython-automlcomparev100v101-2020-06-18)

[Compare Source](https://togithub.com/googleapis/python-automl/compare/v0.10.0...v1.0.1)

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Never, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#GoogleCloudPlatform/python-docs-samples).

* [tables/automl] fix: update the csv file and the dataset name [(#4188)](GoogleCloudPlatform/python-docs-samples#4188)

fixes #4177
fixes #4178

* samples: Automl table batch test [(#4267)](GoogleCloudPlatform/python-docs-samples#4267)

* added rtest req.txt

* samples: added automl batch predict test

* added missing package

* Update tables/automl/batch_predict_test.py

Co-authored-by: Bu Sun Kim <[email protected]>

Co-authored-by: Bu Sun Kim <[email protected]>

* samples: fixed wrong format on GCS input Uri [(#4270)](GoogleCloudPlatform/python-docs-samples#4270)

## Description

Current predict sample indicates that it can multiples GCS URI inputs but it should be singular.

## Checklist
- [X] Please **merge** this PR for me once it is approved.

* chore(deps): update dependency pytest to v5.4.3 [(#4279)](GoogleCloudPlatform/python-docs-samples#4279)

* chore(deps): update dependency pytest to v5.4.3

* specify pytest for python 2 in appengine

Co-authored-by: Leah Cole <[email protected]>

* Update automl_tables_predict.py with batch_predict_bq sample [(#4142)](GoogleCloudPlatform/python-docs-samples#4142)

Added a new method `batch_predict_bq` demonstrating running batch_prediction using BigQuery.
Added notes in comments about asynchronicity for `batch_predict` method.

The region `automl_tables_batch_predict_bq` will be used on cloud.google.com (currently both sections for GCS and BigQuery use the same sample code which is incorrect).

Fixes #4141

Note: It's a good idea to open an issue first for discussion.

- [x] Please **merge** this PR for me once it is approved.

* Update dependency pytest to v6 [(#4390)](GoogleCloudPlatform/python-docs-samples#4390)

* chore: exclude notebooks

* chore: update templates

* chore: add codeowners and fix tests

* chore: ignore warnings from sphinx

* chore: fix tables client

* test: fix unit tests

Co-authored-by: Torry Yang <[email protected]>
Co-authored-by: florencep <[email protected]>
Co-authored-by: Mike Burton <[email protected]>
Co-authored-by: Lars Wander <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Alefh Sousa <[email protected]>
Co-authored-by: DPEBot <[email protected]>
Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>
Co-authored-by: WhiteSource Renovate <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Anthony <[email protected]>
Co-authored-by: Amy <[email protected]>
Co-authored-by: Mike <[email protected]>
Co-authored-by: Leah Cole <[email protected]>
Co-authored-by: Sergei Dorogin <[email protected]>
arbrown pushed a commit that referenced this pull request Nov 17, 2022
* Tables Notebooks [(#2090)](#2090)

* initial commit
* update census
* update notebooks

* remove the reference to a bug [(#2100)](#2100)

as the bug has been fixed in the public client lib

* delete this file. [(#2102)](#2102)

* rename file name [(#2103)](#2103)

* trying to fix images [(#2101)](#2101)

* remove typo in installation [(#2110)](#2110)

* Rename census_income_prediction.ipynb to getting_started_notebook.ipynb [(#2115)](#2115)

renaming the notebooks as Getting Started (will be in sync with the doc). It will be great if the folder could be renamed too

* added back missing file package import [(#2150)](#2150)

* added back missing file import [(#2145)](#2145)

* remove incorrect reference to Iris dataset [(#2203)](#2203)

* conversion to jupyter/colab [(#2340)](#2340)

plus bug fixes

* updated for the Jupyter support [(#2337)](#2337)

* updated readme for support Jupyter [(#2336)](#2336)

to approve with the updated notebook supporting jupyter

* conversion to jupyer/colab [(#2339)](#2339)

plus bug fixes

* conversion of notebook for jupyter/Colab [(#2338)](#2338)

conversion of the notebook to support both Jupyter and Colab + bug fixes

* [BLOCKED] AutoML Tables: Docs samples updated to use new (pending) client [(#2276)](#2276)

* AutoML Tables: Docs samples updated to use new (pending) client

* Linter warnings

* add product recommendation for automl tables notebook [(#2257)](#2257)

* added colab filtering notebook

* update to tables client

* update readme

* tell user to restart kernel for automl

* AutoML Tables: Notebook samples updated to use new tables client [(#2424)](#2424)

* fix users bug and emphasize kernal restart [(#2407)](#2407)

* fix problems with automl docs [(#2501)](#2501)

Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.

* Fix typo in GCS URI parameter [(#2459)](#2459)

* fix: fix tables notebook links and bugs [(#2601)](#2601)

* feat(tables): update samples to show explainability [(#2523)](#2523)

* show xai

* local feature importance

* use updated client

* use fixed library

* use new model

* Auto-update dependencies. [(#2005)](#2005)

* Auto-update dependencies.

* Revert update of appengine/flexible/datastore.

* revert update of appengine/flexible/scipy

* revert update of bigquery/bqml

* revert update of bigquery/cloud-client

* revert update of bigquery/datalab-migration

* revert update of bigtable/quickstart

* revert update of compute/api

* revert update of container_registry/container_analysis

* revert update of dataflow/run_template

* revert update of datastore/cloud-ndb

* revert update of dialogflow/cloud-client

* revert update of dlp

* revert update of functions/imagemagick

* revert update of functions/ocr/app

* revert update of healthcare/api-client/fhir

* revert update of iam/api-client

* revert update of iot/api-client/gcs_file_to_device

* revert update of iot/api-client/mqtt_example

* revert update of language/automl

* revert update of run/image-processing

* revert update of vision/automl

* revert update testing/requirements.txt

* revert update of vision/cloud-client/detect

* revert update of vision/cloud-client/product_search

* revert update of jobs/v2/api_client

* revert update of jobs/v3/api_client

* revert update of opencensus

* revert update of translate/cloud-client

* revert update to speech/cloud-client

Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>

* Update dependency google-cloud-automl to v0.10.0 [(#3033)](#3033)

Co-authored-by: Bu Sun Kim <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* Simplify noxfile setup. [(#2806)](#2806)

* chore(deps): update dependency requests to v2.23.0

* Simplify noxfile and add version control.

* Configure appengine/standard to only test Python 2.7.

* Update Kokokro configs to match noxfile.

* Add requirements-test to each folder.

* Remove Py2 versions from everything execept appengine/standard.

* Remove conftest.py.

* Remove appengine/standard/conftest.py

* Remove 'no-sucess-flaky-report' from pytest.ini.

* Add GAE SDK back to appengine/standard tests.

* Fix typo.

* Roll pytest to python 2 version.

* Add a bunch of testing requirements.

* Remove typo.

* Add appengine lib directory back in.

* Add some additional requirements.

* Fix issue with flake8 args.

* Even more requirements.

* Readd appengine conftest.py.

* Add a few more requirements.

* Even more Appengine requirements.

* Add webtest for appengine/standard/mailgun.

* Add some additional requirements.

* Add workaround for issue with mailjet-rest.

* Add responses for appengine/standard/mailjet.

Co-authored-by: Renovate Bot <[email protected]>

* chore: some lint fixes [(#3750)](#3750)

* automl: tables code sample clean-up [(#3571)](#3571)

* delete unused tables_dataset samples

* delete args code associated with unused automl_tables samples

* delete tests associated with unused automl_tables samples

* restore get_dataset method/yargs without region tagging

* Restore update_dataset methodsa without region tagging

Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* add example of creating AutoML Tables client with non-default endpoint ('new' sdk) [(#3929)](#3929)

* add example of creating client with non-default endpoint

* more test file cleanup

* move connectivity print stmt out of test fn

Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Torry Yang <[email protected]>

* Replace GCLOUD_PROJECT with GOOGLE_CLOUD_PROJECT. [(#4022)](#4022)

* chore(deps): update dependency google-cloud-automl to v1 [(#4127)](#4127)

This PR contains the following updates:

| Package | Update | Change |
|---|---|---|
| [google-cloud-automl](https://togithub.com/googleapis/python-automl) | major | `==0.10.0` -> `==1.0.1` |

---

### Release Notes

<details>
<summary>googleapis/python-automl</summary>

### [`v1.0.1`](https://togithub.com/googleapis/python-automl/blob/master/CHANGELOG.md#&#8203;101-httpswwwgithubcomgoogleapispython-automlcomparev100v101-2020-06-18)

[Compare Source](https://togithub.com/googleapis/python-automl/compare/v0.10.0...v1.0.1)

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Never, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

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---

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* [tables/automl] fix: update the csv file and the dataset name [(#4188)](#4188)

fixes #4177
fixes #4178

* samples: Automl table batch test [(#4267)](#4267)

* added rtest req.txt

* samples: added automl batch predict test

* added missing package

* Update tables/automl/batch_predict_test.py

Co-authored-by: Bu Sun Kim <[email protected]>

Co-authored-by: Bu Sun Kim <[email protected]>

* samples: fixed wrong format on GCS input Uri [(#4270)](#4270)

## Description

Current predict sample indicates that it can multiples GCS URI inputs but it should be singular.

## Checklist
- [X] Please **merge** this PR for me once it is approved.

* chore(deps): update dependency pytest to v5.4.3 [(#4279)](#4279)

* chore(deps): update dependency pytest to v5.4.3

* specify pytest for python 2 in appengine

Co-authored-by: Leah Cole <[email protected]>

* Update automl_tables_predict.py with batch_predict_bq sample [(#4142)](#4142)

Added a new method `batch_predict_bq` demonstrating running batch_prediction using BigQuery.
Added notes in comments about asynchronicity for `batch_predict` method.

The region `automl_tables_batch_predict_bq` will be used on cloud.google.com (currently both sections for GCS and BigQuery use the same sample code which is incorrect).

Fixes #4141

Note: It's a good idea to open an issue first for discussion.

- [x] Please **merge** this PR for me once it is approved.

* Update dependency pytest to v6 [(#4390)](#4390)

* chore: exclude notebooks

* chore: update templates

* chore: add codeowners and fix tests

* chore: ignore warnings from sphinx

* chore: fix tables client

* test: fix unit tests

Co-authored-by: Torry Yang <[email protected]>
Co-authored-by: florencep <[email protected]>
Co-authored-by: Mike Burton <[email protected]>
Co-authored-by: Lars Wander <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Alefh Sousa <[email protected]>
Co-authored-by: DPEBot <[email protected]>
Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>
Co-authored-by: WhiteSource Renovate <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Anthony <[email protected]>
Co-authored-by: Amy <[email protected]>
Co-authored-by: Mike <[email protected]>
Co-authored-by: Leah Cole <[email protected]>
Co-authored-by: Sergei Dorogin <[email protected]>
dandhlee pushed a commit that referenced this pull request Nov 17, 2022
* Tables Notebooks [(#2090)](#2090)

* initial commit
* update census
* update notebooks

* remove the reference to a bug [(#2100)](#2100)

as the bug has been fixed in the public client lib

* delete this file. [(#2102)](#2102)

* rename file name [(#2103)](#2103)

* trying to fix images [(#2101)](#2101)

* remove typo in installation [(#2110)](#2110)

* Rename census_income_prediction.ipynb to getting_started_notebook.ipynb [(#2115)](#2115)

renaming the notebooks as Getting Started (will be in sync with the doc). It will be great if the folder could be renamed too

* added back missing file package import [(#2150)](#2150)

* added back missing file import [(#2145)](#2145)

* remove incorrect reference to Iris dataset [(#2203)](#2203)

* conversion to jupyter/colab [(#2340)](#2340)

plus bug fixes

* updated for the Jupyter support [(#2337)](#2337)

* updated readme for support Jupyter [(#2336)](#2336)

to approve with the updated notebook supporting jupyter

* conversion to jupyer/colab [(#2339)](#2339)

plus bug fixes

* conversion of notebook for jupyter/Colab [(#2338)](#2338)

conversion of the notebook to support both Jupyter and Colab + bug fixes

* [BLOCKED] AutoML Tables: Docs samples updated to use new (pending) client [(#2276)](#2276)

* AutoML Tables: Docs samples updated to use new (pending) client

* Linter warnings

* add product recommendation for automl tables notebook [(#2257)](#2257)

* added colab filtering notebook

* update to tables client

* update readme

* tell user to restart kernel for automl

* AutoML Tables: Notebook samples updated to use new tables client [(#2424)](#2424)

* fix users bug and emphasize kernal restart [(#2407)](#2407)

* fix problems with automl docs [(#2501)](#2501)

Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.

* Fix typo in GCS URI parameter [(#2459)](#2459)

* fix: fix tables notebook links and bugs [(#2601)](#2601)

* feat(tables): update samples to show explainability [(#2523)](#2523)

* show xai

* local feature importance

* use updated client

* use fixed library

* use new model

* Auto-update dependencies. [(#2005)](#2005)

* Auto-update dependencies.

* Revert update of appengine/flexible/datastore.

* revert update of appengine/flexible/scipy

* revert update of bigquery/bqml

* revert update of bigquery/cloud-client

* revert update of bigquery/datalab-migration

* revert update of bigtable/quickstart

* revert update of compute/api

* revert update of container_registry/container_analysis

* revert update of dataflow/run_template

* revert update of datastore/cloud-ndb

* revert update of dialogflow/cloud-client

* revert update of dlp

* revert update of functions/imagemagick

* revert update of functions/ocr/app

* revert update of healthcare/api-client/fhir

* revert update of iam/api-client

* revert update of iot/api-client/gcs_file_to_device

* revert update of iot/api-client/mqtt_example

* revert update of language/automl

* revert update of run/image-processing

* revert update of vision/automl

* revert update testing/requirements.txt

* revert update of vision/cloud-client/detect

* revert update of vision/cloud-client/product_search

* revert update of jobs/v2/api_client

* revert update of jobs/v3/api_client

* revert update of opencensus

* revert update of translate/cloud-client

* revert update to speech/cloud-client

Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>

* Update dependency google-cloud-automl to v0.10.0 [(#3033)](#3033)

Co-authored-by: Bu Sun Kim <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* Simplify noxfile setup. [(#2806)](#2806)

* chore(deps): update dependency requests to v2.23.0

* Simplify noxfile and add version control.

* Configure appengine/standard to only test Python 2.7.

* Update Kokokro configs to match noxfile.

* Add requirements-test to each folder.

* Remove Py2 versions from everything execept appengine/standard.

* Remove conftest.py.

* Remove appengine/standard/conftest.py

* Remove 'no-sucess-flaky-report' from pytest.ini.

* Add GAE SDK back to appengine/standard tests.

* Fix typo.

* Roll pytest to python 2 version.

* Add a bunch of testing requirements.

* Remove typo.

* Add appengine lib directory back in.

* Add some additional requirements.

* Fix issue with flake8 args.

* Even more requirements.

* Readd appengine conftest.py.

* Add a few more requirements.

* Even more Appengine requirements.

* Add webtest for appengine/standard/mailgun.

* Add some additional requirements.

* Add workaround for issue with mailjet-rest.

* Add responses for appengine/standard/mailjet.

Co-authored-by: Renovate Bot <[email protected]>

* chore: some lint fixes [(#3750)](#3750)

* automl: tables code sample clean-up [(#3571)](#3571)

* delete unused tables_dataset samples

* delete args code associated with unused automl_tables samples

* delete tests associated with unused automl_tables samples

* restore get_dataset method/yargs without region tagging

* Restore update_dataset methodsa without region tagging

Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* add example of creating AutoML Tables client with non-default endpoint ('new' sdk) [(#3929)](#3929)

* add example of creating client with non-default endpoint

* more test file cleanup

* move connectivity print stmt out of test fn

Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Torry Yang <[email protected]>

* Replace GCLOUD_PROJECT with GOOGLE_CLOUD_PROJECT. [(#4022)](#4022)

* chore(deps): update dependency google-cloud-automl to v1 [(#4127)](#4127)

This PR contains the following updates:

| Package | Update | Change |
|---|---|---|
| [google-cloud-automl](https://togithub.com/googleapis/python-automl) | major | `==0.10.0` -> `==1.0.1` |

---

### Release Notes

<details>
<summary>googleapis/python-automl</summary>

### [`v1.0.1`](https://togithub.com/googleapis/python-automl/blob/master/CHANGELOG.md#&#8203;101-httpswwwgithubcomgoogleapispython-automlcomparev100v101-2020-06-18)

[Compare Source](https://togithub.com/googleapis/python-automl/compare/v0.10.0...v1.0.1)

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Never, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#GoogleCloudPlatform/python-docs-samples).

* [tables/automl] fix: update the csv file and the dataset name [(#4188)](#4188)

fixes #4177
fixes #4178

* samples: Automl table batch test [(#4267)](#4267)

* added rtest req.txt

* samples: added automl batch predict test

* added missing package

* Update tables/automl/batch_predict_test.py

Co-authored-by: Bu Sun Kim <[email protected]>

Co-authored-by: Bu Sun Kim <[email protected]>

* samples: fixed wrong format on GCS input Uri [(#4270)](#4270)

## Description

Current predict sample indicates that it can multiples GCS URI inputs but it should be singular.

## Checklist
- [X] Please **merge** this PR for me once it is approved.

* chore(deps): update dependency pytest to v5.4.3 [(#4279)](#4279)

* chore(deps): update dependency pytest to v5.4.3

* specify pytest for python 2 in appengine

Co-authored-by: Leah Cole <[email protected]>

* Update automl_tables_predict.py with batch_predict_bq sample [(#4142)](#4142)

Added a new method `batch_predict_bq` demonstrating running batch_prediction using BigQuery.
Added notes in comments about asynchronicity for `batch_predict` method.

The region `automl_tables_batch_predict_bq` will be used on cloud.google.com (currently both sections for GCS and BigQuery use the same sample code which is incorrect).

Fixes #4141

Note: It's a good idea to open an issue first for discussion.

- [x] Please **merge** this PR for me once it is approved.

* Update dependency pytest to v6 [(#4390)](#4390)

* chore: exclude notebooks

* chore: update templates

* chore: add codeowners and fix tests

* chore: ignore warnings from sphinx

* chore: fix tables client

* test: fix unit tests

Co-authored-by: Torry Yang <[email protected]>
Co-authored-by: florencep <[email protected]>
Co-authored-by: Mike Burton <[email protected]>
Co-authored-by: Lars Wander <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Alefh Sousa <[email protected]>
Co-authored-by: DPEBot <[email protected]>
Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>
Co-authored-by: WhiteSource Renovate <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Anthony <[email protected]>
Co-authored-by: Amy <[email protected]>
Co-authored-by: Mike <[email protected]>
Co-authored-by: Leah Cole <[email protected]>
Co-authored-by: Sergei Dorogin <[email protected]>
parthea pushed a commit to googleapis/google-cloud-python that referenced this pull request Oct 21, 2023
* Tables Notebooks [(#2090)](GoogleCloudPlatform/python-docs-samples#2090)

* initial commit
* update census
* update notebooks

* remove the reference to a bug [(#2100)](GoogleCloudPlatform/python-docs-samples#2100)

as the bug has been fixed in the public client lib

* delete this file. [(#2102)](GoogleCloudPlatform/python-docs-samples#2102)

* rename file name [(#2103)](GoogleCloudPlatform/python-docs-samples#2103)

* trying to fix images [(#2101)](GoogleCloudPlatform/python-docs-samples#2101)

* remove typo in installation [(#2110)](GoogleCloudPlatform/python-docs-samples#2110)

* Rename census_income_prediction.ipynb to getting_started_notebook.ipynb [(#2115)](GoogleCloudPlatform/python-docs-samples#2115)

renaming the notebooks as Getting Started (will be in sync with the doc). It will be great if the folder could be renamed too

* added back missing file package import [(#2150)](GoogleCloudPlatform/python-docs-samples#2150)

* added back missing file import [(#2145)](GoogleCloudPlatform/python-docs-samples#2145)

* remove incorrect reference to Iris dataset [(#2203)](GoogleCloudPlatform/python-docs-samples#2203)

* conversion to jupyter/colab [(#2340)](GoogleCloudPlatform/python-docs-samples#2340)

plus bug fixes

* updated for the Jupyter support [(#2337)](GoogleCloudPlatform/python-docs-samples#2337)

* updated readme for support Jupyter [(#2336)](GoogleCloudPlatform/python-docs-samples#2336)

to approve with the updated notebook supporting jupyter

* conversion to jupyer/colab [(#2339)](GoogleCloudPlatform/python-docs-samples#2339)

plus bug fixes

* conversion of notebook for jupyter/Colab [(#2338)](GoogleCloudPlatform/python-docs-samples#2338)

conversion of the notebook to support both Jupyter and Colab + bug fixes

* [BLOCKED] AutoML Tables: Docs samples updated to use new (pending) client [(#2276)](GoogleCloudPlatform/python-docs-samples#2276)

* AutoML Tables: Docs samples updated to use new (pending) client

* Linter warnings

* add product recommendation for automl tables notebook [(#2257)](GoogleCloudPlatform/python-docs-samples#2257)

* added colab filtering notebook

* update to tables client

* update readme

* tell user to restart kernel for automl

* AutoML Tables: Notebook samples updated to use new tables client [(#2424)](GoogleCloudPlatform/python-docs-samples#2424)

* fix users bug and emphasize kernal restart [(#2407)](GoogleCloudPlatform/python-docs-samples#2407)

* fix problems with automl docs [(#2501)](GoogleCloudPlatform/python-docs-samples#2501)

Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python.

* Fix typo in GCS URI parameter [(#2459)](GoogleCloudPlatform/python-docs-samples#2459)

* fix: fix tables notebook links and bugs [(#2601)](GoogleCloudPlatform/python-docs-samples#2601)

* feat(tables): update samples to show explainability [(#2523)](GoogleCloudPlatform/python-docs-samples#2523)

* show xai

* local feature importance

* use updated client

* use fixed library

* use new model

* Auto-update dependencies. [(#2005)](GoogleCloudPlatform/python-docs-samples#2005)

* Auto-update dependencies.

* Revert update of appengine/flexible/datastore.

* revert update of appengine/flexible/scipy

* revert update of bigquery/bqml

* revert update of bigquery/cloud-client

* revert update of bigquery/datalab-migration

* revert update of bigtable/quickstart

* revert update of compute/api

* revert update of container_registry/container_analysis

* revert update of dataflow/run_template

* revert update of datastore/cloud-ndb

* revert update of dialogflow/cloud-client

* revert update of dlp

* revert update of functions/imagemagick

* revert update of functions/ocr/app

* revert update of healthcare/api-client/fhir

* revert update of iam/api-client

* revert update of iot/api-client/gcs_file_to_device

* revert update of iot/api-client/mqtt_example

* revert update of language/automl

* revert update of run/image-processing

* revert update of vision/automl

* revert update testing/requirements.txt

* revert update of vision/cloud-client/detect

* revert update of vision/cloud-client/product_search

* revert update of jobs/v2/api_client

* revert update of jobs/v3/api_client

* revert update of opencensus

* revert update of translate/cloud-client

* revert update to speech/cloud-client

Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>

* Update dependency google-cloud-automl to v0.10.0 [(#3033)](GoogleCloudPlatform/python-docs-samples#3033)

Co-authored-by: Bu Sun Kim <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* Simplify noxfile setup. [(#2806)](GoogleCloudPlatform/python-docs-samples#2806)

* chore(deps): update dependency requests to v2.23.0

* Simplify noxfile and add version control.

* Configure appengine/standard to only test Python 2.7.

* Update Kokokro configs to match noxfile.

* Add requirements-test to each folder.

* Remove Py2 versions from everything execept appengine/standard.

* Remove conftest.py.

* Remove appengine/standard/conftest.py

* Remove 'no-sucess-flaky-report' from pytest.ini.

* Add GAE SDK back to appengine/standard tests.

* Fix typo.

* Roll pytest to python 2 version.

* Add a bunch of testing requirements.

* Remove typo.

* Add appengine lib directory back in.

* Add some additional requirements.

* Fix issue with flake8 args.

* Even more requirements.

* Readd appengine conftest.py.

* Add a few more requirements.

* Even more Appengine requirements.

* Add webtest for appengine/standard/mailgun.

* Add some additional requirements.

* Add workaround for issue with mailjet-rest.

* Add responses for appengine/standard/mailjet.

Co-authored-by: Renovate Bot <[email protected]>

* chore: some lint fixes [(#3750)](GoogleCloudPlatform/python-docs-samples#3750)

* automl: tables code sample clean-up [(#3571)](GoogleCloudPlatform/python-docs-samples#3571)

* delete unused tables_dataset samples

* delete args code associated with unused automl_tables samples

* delete tests associated with unused automl_tables samples

* restore get_dataset method/yargs without region tagging

* Restore update_dataset methodsa without region tagging

Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>

* add example of creating AutoML Tables client with non-default endpoint ('new' sdk) [(#3929)](GoogleCloudPlatform/python-docs-samples#3929)

* add example of creating client with non-default endpoint

* more test file cleanup

* move connectivity print stmt out of test fn

Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Torry Yang <[email protected]>

* Replace GCLOUD_PROJECT with GOOGLE_CLOUD_PROJECT. [(#4022)](GoogleCloudPlatform/python-docs-samples#4022)

* chore(deps): update dependency google-cloud-automl to v1 [(#4127)](GoogleCloudPlatform/python-docs-samples#4127)

This PR contains the following updates:

| Package | Update | Change |
|---|---|---|
| [google-cloud-automl](https://togithub.com/googleapis/python-automl) | major | `==0.10.0` -> `==1.0.1` |

---

### Release Notes

<details>
<summary>googleapis/python-automl</summary>

### [`v1.0.1`](https://togithub.com/googleapis/python-automl/blob/master/CHANGELOG.md#&#8203;101-httpswwwgithubcomgoogleapispython-automlcomparev100v101-2020-06-18)

[Compare Source](https://togithub.com/googleapis/python-automl/compare/v0.10.0...v1.0.1)

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This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#GoogleCloudPlatform/python-docs-samples).

* [tables/automl] fix: update the csv file and the dataset name [(#4188)](GoogleCloudPlatform/python-docs-samples#4188)

fixes #4177
fixes #4178

* samples: Automl table batch test [(#4267)](GoogleCloudPlatform/python-docs-samples#4267)

* added rtest req.txt

* samples: added automl batch predict test

* added missing package

* Update tables/automl/batch_predict_test.py

Co-authored-by: Bu Sun Kim <[email protected]>

Co-authored-by: Bu Sun Kim <[email protected]>

* samples: fixed wrong format on GCS input Uri [(#4270)](GoogleCloudPlatform/python-docs-samples#4270)

## Description

Current predict sample indicates that it can multiples GCS URI inputs but it should be singular.

## Checklist
- [X] Please **merge** this PR for me once it is approved.

* chore(deps): update dependency pytest to v5.4.3 [(#4279)](GoogleCloudPlatform/python-docs-samples#4279)

* chore(deps): update dependency pytest to v5.4.3

* specify pytest for python 2 in appengine

Co-authored-by: Leah Cole <[email protected]>

* Update automl_tables_predict.py with batch_predict_bq sample [(#4142)](GoogleCloudPlatform/python-docs-samples#4142)

Added a new method `batch_predict_bq` demonstrating running batch_prediction using BigQuery.
Added notes in comments about asynchronicity for `batch_predict` method.

The region `automl_tables_batch_predict_bq` will be used on cloud.google.com (currently both sections for GCS and BigQuery use the same sample code which is incorrect).

Fixes #4141

Note: It's a good idea to open an issue first for discussion.

- [x] Please **merge** this PR for me once it is approved.

* Update dependency pytest to v6 [(#4390)](GoogleCloudPlatform/python-docs-samples#4390)

* chore: exclude notebooks

* chore: update templates

* chore: add codeowners and fix tests

* chore: ignore warnings from sphinx

* chore: fix tables client

* test: fix unit tests

Co-authored-by: Torry Yang <[email protected]>
Co-authored-by: florencep <[email protected]>
Co-authored-by: Mike Burton <[email protected]>
Co-authored-by: Lars Wander <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Michael Hu <[email protected]>
Co-authored-by: Alefh Sousa <[email protected]>
Co-authored-by: DPEBot <[email protected]>
Co-authored-by: Kurtis Van Gent <[email protected]>
Co-authored-by: Doug Mahugh <[email protected]>
Co-authored-by: WhiteSource Renovate <[email protected]>
Co-authored-by: Leah E. Cole <[email protected]>
Co-authored-by: Takashi Matsuo <[email protected]>
Co-authored-by: Anthony <[email protected]>
Co-authored-by: Amy <[email protected]>
Co-authored-by: Mike <[email protected]>
Co-authored-by: Leah Cole <[email protected]>
Co-authored-by: Sergei Dorogin <[email protected]>
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