tl; dr; A combinator governance component that provides a hosted MLFlow server, a model repository and experiment tracker.
MLFlow is an open-source model registry and experiment tracker. Data scientists leverage this hosted service to store the results of their experiments and persist final artifacts like model parameters and weights.
This provides a centralised catalogue of models and experiments, which is useful for organizational purposes and sharing work.
MLFlow also comes with limited serving capabilities, although that is not it's core aim.
The fastest way to get started is to use the test drive functionality provided by TestFaster. Click on the "Launch Test Drive" button below (opens a new window).
Start by preparing your Kubernetes cluster using one of the infrastructure components or use your own cluster.
module "mlflow" {
source = "combinator-ml/mlflow/k8s"
# Optional settings go here
}See the full configuration options below.
| Name | Version |
|---|---|
| terraform | >= 0.14 |
| helm | >= 2.0.0 |
| kubernetes | >= 2.0.0 |
| Name | Version |
|---|---|
| helm | >= 2.0.0 |
| kubernetes | >= 2.0.0 |
No Modules.
| Name |
|---|
| helm_release |
| kubernetes_secret |
| Name | Description | Type | Default | Required |
|---|---|---|---|---|
| name_prefix | Prefix to be used when naming the different components. | string |
"combinator" |
no |
| namespace | The namespace to install into. | string |
"mlflow" |
no |
No output.