Our great sponsors
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Recently I've been learning MLOps. There's a lot to learn, as shown by this and this repository listing MLOps references and tools, respectively.
However, installing and trying out Kubeflow Pipelines (KFP) is a lot simpler. In this post, we'll create a local cluster with kind, install KFP as described here and run our first pipeline.
Recently I've been learning MLOps. There's a lot to learn, as shown by this and this repository listing MLOps references and tools, respectively.
Kubeflow has multiple components: central dashboard, Kubeflow Notebooks to manage Jupyter notebooks, Kubeflow Pipelines for building and deploying portable, scalable machine learning (ML) workflows based on Docker containers, KF Serving for model serving (apparently superseded by KServe), Katib for hyperparameter tuning and model search, and training operators such as TFJob for training TF models on Kubernetes.
The code for this example can be found in this repository.
Related posts
- Introduction to NannyML: Model Evaluation without labels
-
aim VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
-
metaflow VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
-
cascade alternatives - clearml and MLflow
3 projects | 1 Nov 2023
- Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.