jeans/home-assistant.io
jeans/home-assistant.io
1
0
Fork 0
mirror of https://github.com/home-assistant/home-assistant.io.git synced 2025-07-24 17:57:14 +00:00
Code Issues Packages Projects Releases Wiki Activity

prob_given_false is soon req, show in examples (#24276)

Browse Source
This commit is contained in:
HarvsG 2022-10-03 12:26:56 +00:00 committed by GitHub
parent ab5ef42805
commit 909f08e855
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 5 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
source/_integrations/bayesian.markdown
View File

@ -31,7 +31,7 @@ In the configuration use the probability of the observation (the sensor state in
4. Use your Home Assistant history to help estimate the probabilities.
- `prob_given_true:` - Select the sensor in question over a time range when you think the `bayesian` sensor should have been `true`. `prob_given_true:` is the fraction of the time the sensor was in `to_state:`.
- `prob_given_false:` - Select the sensor in question over a time range when you think the `bayesian` sensor should have been `false`. `prob_given_false:` is the fraction of the time the sensor was in `to_state:`.
5. Don't work backwards by tweaking `prob_given_true:` and `prob_given_false:` to give the results and behaviors you want, use #4 to try and get probabilities as close to the 'truth' as you can, if your behavior is not as expected consider adding more sensors or see #7.
5. Don't work backwards by tweaking `prob_given_true:` and `prob_given_false:` to give the results and behaviors you want, use #4 to try and get probabilities as close to the 'truth' as you can, if your behavior is not as expected consider adding more sensors or see #6.
6. If your Bayesian sensor ends up triggering `on` too easily, re-check that the probabilities set and estimated make sense, then consider increasing `probability_threshold:` and vice-versa.
## Configuration
@ -101,7 +101,7 @@ observations:
required: true
type: float
prob_given_false:
description: Assuming the bayesian binary_sensor is `false` the probability of this entity state is occurring.
description: Assuming the bayesian binary_sensor is `false` the probability the entity state is occurring.
required: true
type: float
{% endconfiguration %}
@ -122,12 +122,12 @@ binary_sensor:
entity_id: "sensor.living_room_motion"
prob_given_true: 0.05 # If I am in bed then I shouldn't be in the living room, very occasionally I have guests, however
prob_given_false: 0.2 # My sensor history shows If I am not in bed I spend about a fifth of my time in the living room
to_state: "off"
to_state: "on"
- platform: "state"
entity_id: "sensor.basement_motion"
prob_given_true: 0.5 # My sensor history shows, when I am in bed, my basement motion sensor is active about half the time because of my cat
prob_given_false: 0.3 # As above but my cat tends to spend more time upstairs or outside when I am awake and I rarely use the basement
to_state: "off"
to_state: "on"
- platform: "state"
entity_id: "sensor.bedroom_motion"
prob_given_true: 0.5 # My sensor history shows when I am in bed the sensor picks me up about half the time
@ -136,6 +136,7 @@ binary_sensor:
- platform: "state"
entity_id: "sun.sun"
prob_given_true: 0.7 # If I am in bed then there is a good chance the sun will be down, but in the summer mornings I may still be in bed
prob_given_false: 0.45 # If I am am awake then there is a reasonable chance the sun will be below the horizon - especially in winter
to_state: "below_horizon"
- platform: "state"
entity_id: "sensor.android_charger_type"