event-driven-ml's People
event-driven-ml's Issues
[EDML-4] Creation of a first simple based on the ny-taxi data
[EDML-18] Investigate the Zoltar library
[EDML-6] Package model
[EDML-9] share metadata in json file
- combination of parameters used by the model
- version
- data scope (time)
- filters
- settings for hyperparameters tuning as in hyperparameters.yaml
[EDML-5] setup tensorboard
[EDML-25] switch to tensorflow 2.1
Adapt code to run with TF2
[EDML-3] Quick bootstrap of a serving app in kafka streams
[EDML-21] add additional CICD stages
Add the following jobs:
on-demand-deploy
remove-model
deploy-app
(to complete)remove-app
release
[EDML-7] Launch remote training and prediction from notebook
- Create job to launch remote training
- Deploy model
- Create job to launch remote prediction
[EDML-24] switch estimator to custom model
-
Replace premade estimator with a custom model.
-
Scale label col and store value to reverse output results
[EDML-17] Export the methadata form the saved_model
The command saved_model_cli show --dir <model-folder> --all
Prints the inputs and outputs of the save_model
Format the output in JSON and send it as a Kafka message
[EMDL-1] Google cloud project creation
[EDML-15] Add a training job for the manual submission
Given a package version (X.X.X-yyyyMMddThhmmss
) when a job is triggered with the varible $TRAIN_VERSION
set to the package version, then a re-training workflow is started.
[EDML-22] Add mlflow to the terraform stack
[EDML-19] Add Grafana to the deployed apps
[EDML-23] reorganise-trainer
util.py
:- read data
- feature engineering
- serving input and receiver function
model.py
- estimator
task.py
- import from model & util
- parse parameters
- train_and_evaluate
[EDML-20] Terraform the ai-platform notebooks
- Clean up and update terraform manifest
- Add the ai-platform notebook to the env
[EDML-2] Repository creation and build setup
[EDML-8] Hyperparameter tuning
- choose parameters to tune
- create
hyperparameters.yaml
- launch training with tuning
- extract best parameters
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