kedro_mlflow package
- Datasets
- CLI
- Pipelines
KedroMlflowPipelineMLError
PipelineML
PipelineML.KPM_KWARGS_DEFAULT
PipelineML.LOG_MODEL_KWARGS_DEFAULT
PipelineML.__init__()
PipelineML.filter()
PipelineML.from_inputs()
PipelineML.from_nodes()
PipelineML.inference
PipelineML.input_name
PipelineML.only_nodes()
PipelineML.only_nodes_with_inputs()
PipelineML.only_nodes_with_namespace()
PipelineML.only_nodes_with_outputs()
PipelineML.only_nodes_with_tags()
PipelineML.tag()
PipelineML.to_nodes()
PipelineML.to_outputs()
PipelineML.training
pipeline_ml_factory()
- Custom Mlflow Models
- Configuration
DictParamsOptions
DisableTrackingOptions
ExperimentOptions
KedroMlflowConfig
MlflowParamsOptions
MlflowServerOptions
MlflowServerOptions.Config
MlflowServerOptions.credentials
MlflowServerOptions.mlflow_registry_uri
MlflowServerOptions.mlflow_tracking_uri
MlflowServerOptions.model_computed_fields
MlflowServerOptions.model_config
MlflowServerOptions.model_fields
MlflowServerOptions.model_post_init()
MlflowServerOptions.request_header_provider
MlflowTrackingOptions
RequestHeaderProviderOptions
RunOptions
UiOptions
- Notebook
- Hooks