I am trying to implement customer satisfaction using zenml: While I execute this script: python run_deployment.py, I face below error

zenfiles-main/customer-satisfaction/venv/lib/python3.6/site-packages/zenml/integrations/mlflow/services/mlflow_deployment.py:5: FutureWarning: MLflow support for Python 3.6 is deprecated and will be dropped in an upcoming release. At that point, existing Python 3.6 workflows that use MLflow will continue to work without modification, but Python 3.6 users will no longer get access to the latest MLflow features and bugfixes. We recommend that you upgrade to Python 3.7 or newer. from mlflow.pyfunc.backend import PyFuncBackend # type: ignore [import] ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ │ │zenfiles-main/customer-satisfaction/run_deployment.py:18 in │ │ │ │ 15 from steps.evaluation import evaluation │ │ 16 from steps.ingest_data import ingest_data │ │ 17 from steps.model_train import train_model │ │ ❱ 18 from zenml.integrations.mlflow.mlflow_utils import get_tracking_uri │ │ 19 from zenml.integrations.mlflow.steps import MLFlowDeployerConfig │ │ 20 from zenml.services import load_last_service_from_step │ │ 21 from zenml.integrations.mlflow.steps import mlflow_model_deployer_step │ │ │ │ ╭─────────────────────────────────────────── locals ───────────────────────────────────────────╮ │ │ │ annotations = {} │ │ │ │ builtins = <module 'builtins' (built-in)> │ │ │ │ cached = None │ │ │ │ doc = None │ │ │ │ file = 'run_deployment.py' │ │ │ │ loader = <_frozen_importlib_external.SourceFileLoader object at │ │ │ │ 0x7f900afdc1d0> │ │ │ │ name = 'main' │ │ │ │ package = None │ │ │ │ spec = None │ │ │ │ clean_data = <class 'steps.clean_data.clean_data'> │ │ │ │ click = <module 'click' from │ │ │ │ '/home/laiml/Downloads/zenfiles-main/customer-satisfacti… │ │ │ │ continuous_deployment_pipeline = <class │ │ │ │ 'zenml.pipelines.base_pipeline.continuous_deployment_pip… │ │ │ │ cs_materializer = <class │ │ │ │ 'materializer.custom_materializer.cs_materializer'> │ │ │ │ deployment_trigger = <class │ │ │ │ 'pipelines.deployment_pipeline.deployment_trigger'> │ │ │ │ DeploymentTriggerConfig = <class │ │ │ │ 'pipelines.deployment_pipeline.DeploymentTriggerConfig'> │ │ │ │ dynamic_importer = <class 'pipelines.deployment_pipeline.dynamic_importer'> │ │ │ │ evaluation = <class 'steps.evaluation.evaluation'> │ │ │ │ inference_pipeline = <class │ │ │ │ 'zenml.pipelines.base_pipeline.inference_pipeline'> │ │ │ │ ingest_data = <class 'steps.ingest_data.ingest_data'> │ │ │ │ MLFlowDeploymentLoaderStepConfig = <class │ │ │ │ 'pipelines.deployment_pipeline.MLFlowDeploymentLoaderSte… │ │ │ │ prediction_service_loader = <class │ │ │ │ 'pipelines.deployment_pipeline.prediction_service_loader… │ │ │ │ predictor = <class 'pipelines.deployment_pipeline.predictor'> │ │ │ │ print = <function print at 0x7f8f98e2bd08> │ │ │ │ train_model = <class 'steps.model_train.train_model'> │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────╯ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ ModuleNotFoundError: No module named 'zenml.integrations.mlflow.mlflow_utils'

Predict electricity power generation from wind forecast using ZenML:

• Load data directly from Google Cloud BigQuery
• Train a model remotely in Vertex AI

Also contains a thorough description on how to set up and configure a google cloud project together with a zenml stack.

Description

This is an update for the signed language ZenFile (project)! The new update redefined the whole project from splitting each process to a standalone pipeline (Training, Deployment, Inference) to adding a video that shows the actual model working on a real-time image using the webcam + creating a BentoML deployed bento which can be served in any environment! (Only Video recording left, which will be added to readme once it's uploaded to youtube)

I was trying to implement "Predicting how a customer will feel about a product before they even ordered it". I face this issue while running the below script:

python run_deployment.py

Error: C:\Users\vsriniva\Desktop\zenml\zenfiles\customer-satisfaction\py_venv\lib\site-packages\xgboost\compat.py:36: FutureWarning: pandas.Int64Index is deprecated and will be removed from pand as in a future version. Use pandas.Index with the appropriate dtype instead. from pandas import MultiIndex, Int64Index ┌─────────────────────────────── Traceback (most recent call last) ────────────────────────────────┐ │ C:\Users\vsriniva\Desktop\zenml\zenfiles\customer-satisfaction\run_deployment.py:3 in │ │ │ │ 1 import click │ │ 2 from materializer.custom_materializer import cs_materializer │ │ > 3 from pipelines.deployment_pipeline import ( │ │ 4 │ DeploymentTriggerConfig, │ │ 5 │ MLFlowDeploymentLoaderStepConfig, │ │ 6 │ continuous_deployment_pipeline, │ │ │ │ C:\Users\vsriniva\Desktop\zenml\zenfiles\customer-satisfaction\pipelines\deployment_pipeline.py: │ │ 107 in │ │ │ │ 104 │ return prediction │ │ 105 │ │ 106 │ │ > 107 @pipeline(enable_cache=True, requirements_file=requirements_file) │ │ 108 def continuous_deployment_pipeline( │ │ 109 │ ingest_data, │ │ 110 │ clean_data, │ └──────────────────────────────────────────────────────────────────────────────────────────────────┘ TypeError: pipeline() got an unexpected keyword argument 'requirements_file'

Seems like the base ROMs (i.e. the games) for the Atari games used in the Atari ZenFile are no longer distributed by OpenAI or ALE (which we were using in the ZenFile). (Last time I ran the ZenFile it worked fine, now it can't be loaded.).

Removing this ZenFile accordingly, since it doesn't work without the ROMs.

Describe changes

Update NBA Pipeline ZenFile to work with ZenML 0.20.2!

Pre-requisites

Please ensure you have done the following:

• [X] If my change requires a change to docs, I have updated the documentation accordingly.

Types of changes

• [x] Bug fix (non-breaking change which fixes an issue)
• [ ] Other (add details above)

Describe changes

Update theTime Series Forecast ZenFile to work with ZenML 0.20.2!

Pre-requisites

Please ensure you have done the following:

• [X] If my change requires a change to docs, I have updated the documentation accordingly.

Types of changes

• [x] Bug fix (non-breaking change which fixes an issue)
• [ ] Other (add details above)

Describe changes

Update the Custom Churn ZenFile to work with ZenML 0.20.2!

Pre-requisites

Please ensure you have done the following:

• [X] If my change requires a change to docs, I have updated the documentation accordingly.

Types of changes

• [x] Bug fix (non-breaking change which fixes an issue)
• [ ] Other (add details above)

Describe changes

Update the Atari Game ZenFile to work with ZenML 0.20.2! This PR will be open till fixing an error due to dependency changes

Pre-requisites

Please ensure you have done the following:

• [X] If my change requires a change to docs, I have updated the documentation accordingly.

Types of changes

• [x] Bug fix (non-breaking change which fixes an issue)
• [ ] Other (add details above)

Describe changes

Update the custom satisfaction ZenFile to work with ZenML 0.20.2!

Pre-requisites

Please ensure you have done the following:

• [X] If my change requires a change to docs, I have updated the documentation accordingly.

Types of changes

• [x] Bug fix (non-breaking change which fixes an issue)
• [ ] Other (add details above)