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Add numeric state example to Bayesian Sensor (#3642)

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Taylor Peet 2017-10-16 02:33:35 -04:00 committed by Fabian Affolter
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source/_components/binary_sensor.bayesian.markdown
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@ -40,8 +40,8 @@ Configuration variables:
- **entity_id** (*Required*): Name of the entity to monitor. - **entity_id** (*Required*): Name of the entity to monitor.
- **prob_given_true** (*Required*): The probability of the observation occurring, given the event is `true`. - **prob_given_true** (*Required*): The probability of the observation occurring, given the event is `true`.
- **prob_given_false** (*Optional*): The probability of the observation occurring, given the event is `false` can be set as well. If `prob_given_false` is not set, it will default to `1 - prob_given_true`. - **prob_given_false** (*Optional*): The probability of the observation occurring, given the event is `false` can be set as well. If `prob_given_false` is not set, it will default to `1 - prob_given_true`.
- **platform** (*Required*): The only supported observation platforms are `state` and `numeric_state`, which are modeled after their corresponding triggers for automations. - **platform** (*Required*): The only supported observation platforms are `state` and `numeric_state`, which are modeled after their corresponding triggers for automations, requiring `before` and/or `after` instead of `to_state`.
- **to_state** (*Required*): The target start. - **to_state** (*Required*): The target state.
- **probability_threshold** (*Optional*): The probability at which the sensor should trigger to `on`. - **probability_threshold** (*Optional*): The probability at which the sensor should trigger to `on`.
- **name** (*Optional*): Name of the sensor to use in the frontend. Defaults to `Bayesian Binary`. - **name** (*Optional*): Name of the sensor to use in the frontend. Defaults to `Bayesian Binary`.
@ -74,3 +74,16 @@ binary_sensor:
platform: 'state' platform: 'state'
to_state: 'below_horizon' to_state: 'below_horizon'
``` ```
```yaml
# Example configuration.yaml entry
binary_sensor:
name: 'Heat On'
platform: 'bayesian'
prior: 0.2
probability_threshold: 0.9
observations:
- entity_id: 'sensor.outside_air_temperature_fahrenheit'
prob_given_true: 0.95
platform: 'numeric_state'
below: 50
```