fix problems with automl docs #2501
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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
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@leahecole please approve, merge and close the issue. thank you. |
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@sirtorry please tap the techwriter if they need to do a refresh of the page |
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…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.
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…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.
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* 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#​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]>
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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#​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
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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#​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]>
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#​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#​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]>
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Today when we try to use the function
batch_predictfollow the docs we receive and error saying:the paramaters should be a pandas.Dataframeit’s happens because the first parameter of the functionbatch_predictis a pandas.Dataframe. To solve this problem we need to use de named parameters of python.