ModelConfig

relationalai.config.config_fields

Configure model execution defaults.

This controls a few cross-cutting behaviors for running a Model, such as whether the model is kept after execution, run in isolation, and whether missing properties may be created implicitly.

Examples

Minimal YAML (in raiconfig.yaml):

default_connection: sf
connections:
    sf:
        type: snowflake
        # ...
model:
    path: model.py
    implicit_properties: false

Configure model settings using a dict:

from relationalai.config import create_config

cfg = create_config(
    model={"implicit_properties": False},
)

Configure model settings using an explicit ModelConfig instance:

from relationalai.config import create_config, ModelConfig

cfg = create_config(
    model=ModelConfig(implicit_properties=False),
)

Attributes

.`path`

ModelConfig.path: (str, optional)

Path to the model entry point script/directory (e.g. model.py).

.`keep`

ModelConfig.keep: bool

Keep the model after execution.

.`isolated`

ModelConfig.isolated: bool

Run the model in isolated mode.

.`nowait_durable`

ModelConfig.nowait_durable: bool

Do not wait for durable operations.

.`implicit_properties`

ModelConfig.implicit_properties: bool

Allow undeclared properties to be created on first access (when True).

Inheritance Hierarchy

Referenced By

RelationalAI Documentation
├──  Build With RelationalAI
│   └──  Understand how PyRel works > Build a semantic model
│       └──  Define base facts
└──  Release Notes
    └──  Python API Release Notes
        └──  What’s New in Version 1.0.5
            └──  Bug Fixes