The current version was causing a the below error when executing on xgboost_training component on vertex.
```
numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
```
Updating the pandas version as shown [here](https://github.com/numpy/numpy/issues/26710) resolved the issue
* fix, refactor, chore: follows new template, replaces K80 with T4, replace docker steps with cloud build, reorganize the sections, heading corrections
* chore: remove will and contracts 'do not'
* fix: replace K80 with T4
* feat: adds step to remove the training folder in the cleaning up section
* fix, chore: adds worker-pool-specs back in the pipeline as a global var, adds comments
* feat: adds a cleaning up step for artifact registry
* fix, chore: addresses the review comments, removes the mention of experimental feature in the markdown, replaces TPU_V3 with TPU_V2(not found error)
* chore: addresses review comments
* fix, chore, refactor: updates tensorflow version to 2.13, updates TPU driver libs, elaborates some steps, refactors the pipeline creation and run step to parameterize the arguments instead of using global vars
---------
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* <refactor, chore> updates gcr to artifact registry, package version upgrades, updates prebuilt docker container image to 2.13, refactores notebook according to the template
* <refactor, chore> updates gcr to artifact registry, package version upgrades, updates prebuilt docker container image to 2.13, refactores notebook according to the template
* updated pip install statements
* Colab enterprise link fix
* Colab enterprise link fix
* Colab enterprise link fix
* markdown edits
---------
Co-authored-by: SumanthKasula99 <sumanth.kasula@egen.ai>
Updates objectives to eliminate nested bullets (those didn't get rendered in our docs) and removes some bolding that wasn't rendering properly in our docs
* <fix, refactor> fixed and refactored notebook according to the template
* Apply suggested edits from @kittyabs
* Apply suggested edits from @kittyabs
* Colab enterprise link fix
---------
Co-authored-by: SumanthKasula99 <sumanth.kasula@egen.ai>
* <Refactor, Chore> Refactored the notebook according to the template, updated and added new package.
* Applied suggested edits.
* Applied suggested edits.
---------
Co-authored-by: UBhavani <bhavani.ummadi@egen.ai>
* chore, refactor, feat: follows new template, fixes typos, updates dsl.Condition to ds.If, rewords the headings and organizes them as per the tutorial, adds a cleanup step for the pipeline file
* chore, fix: minor sentence corrections, removes undefined UUID parameter
* chore: addresses the review comments
* fix: fixes the var name pipeline --> pipeline_job
---------
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* chore: follows new template, fixes typos, removes unnecessary code-highlights, replaces K80 with T4, replaces REGION with LOCATION, removes IS_TESTING in cleaning up section, makes sentence/heading corrections and re-organizes some subsections as per the tutorial
* chore, refactor: minor markdown corrections, updates machine_type description and code to suit the explanation
* chore: addresses review comments and corrects 'uploading to a Vertex AI model resource' to 'uploading to Vertex AI Model Registry'
* chore: addresses the review comments
---------
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* refactor,chore(egen) : refcatored code according to template guidelines and added cleanup code
* refactored code according to template guidelines
* refcatord code according to template guidelines
* refactor(egen) : refactored code according to template guidelines
* refactor(egen) : refactored code according to template guidelines
---------
Co-authored-by: Jayakrishna2801 <jayakrishna.rajaboina@egen.ai>
* chore: removes boiler plate and reformats according to the template
* chore: adds colab enterprise link to the notebook
* chore: testing end to end
* chore:end to end test with reformatting
* chore: lint
* chore: addresses comment on the markups
* chore: follows new template, remove IS_TESTING, replace REGION with LOCATION, organizes headings and styles, removes unnecessary code highlights
* fix: removes USER var, adds IS_COLAB var
* chore: addresses the review comments
---------
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* chore(egen) : added notes to deprecated notebook
* chore(egen) : performed linter test
* chore(egen) : added notes to deperecated notebook and performed linter test
* linter test
---------
Co-authored-by: Jayakrishna2801 <jayakrishna.rajaboina@egen.ai>
* refactor : removed ! rm lightweight_pipeline.json
* chore,refactor : Added cleanup code for deletion of pipeline and refactored code according to template guidelines , performed linter test
* chore,refactor : Added cleanup code for deletion of pipeline and refactored code according to template guidelines , performed linter test
* refactor,chore : Added code for deletion of pipeline and refactored code according to template guidelines , performed linter test
* refactor,chore : refactored code according to template guidelines and downgraded numpy version
* refactor : removed project name and bucket name used for testing in local
* refactor : refactored code according to template guidelines
* performed linter test
---------
Co-authored-by: Jayakrishna2801 <jayakrishna.rajaboina@egen.ai>
* refractor,chore(egen): replaced kfp.v2 with kfp in compile step, refracted code according to template guidelines, performed linter test
* chore,refactor(Egen): replaced aip with aiplatform, removed import statement of os module, refactored code according to template guidelines and performed linter test.
* refactor(egen):refactored code by renaming REGION variable to LOCATION and performed linter test
---------
Co-authored-by: sriramya2610 <sriramya.peddapally@egen.ai>
* fix, chore, refactor: fixes the issue with job creation request, refactors to use the latest SDKs, follows the new template, sentence corrections
* chore: removes future tense, minor sentence corrections
* chore: addresses the review comments
---------
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* <fix, refactor> fixed and refactored notebook according to the template
* Apply suggested edits from @kittyabs
* Apply suggested edits from @kittyabs
---------
Co-authored-by: SumanthKasula99 <sumanth.kasula@egen.ai>
* refractor(egen): refracted code according to template guidelines, performed linter test
* refractor(egen): refracted code by removing os.getenv(IS_TESTING) in clean up code of bucket
* chore,refactor(egen):grammar check according to template guidelines, refactored the code by adding clean up code for deletion of local files created and model endpoint and performed linter test.
* refactor(egen):refactored code by modifying clean up code and performed linter test
---------
Co-authored-by: sriramya2610 <sriramya.peddapally@egen.ai>
* fix, refactor, chore(egen): replaced .json to .yaml, refacted the code as per notebook template, performed linter test.
* refactor, chore(egen): Rephrases sentences, changes from google.cloud import aiplatform instead to import google.cloud.aiplatform as aip
* refactor(egen(egen): cleared cell output
* refactor, chore(egen): changes made as per PR comments, perfomed linter test
* Added missing link and made other edits to "Custom training with pre-built Google Cloud Pipeline Components". No impact on code
* Update custom_model_training_and_batch_prediction.ipynb
fixed typo
