LQM Registry / memory
Quantitative Memory Performance Profile
Summarizes signed quantitative-memory observations by candidate, recency and current regime to produce reproducible performance profiles.
Model key
lq.memory.performance-profileVersion1.0.0
Runtimepython-process
Model contract
Inputs are explicit.
{
"type": "object",
"required": [
"records"
],
"properties": {
"records": {
"type": "array",
"minItems": 1
},
"current_regime": []
}
}Output contract
Outputs are explicit.
{
"type": "object",
"required": [
"direction",
"profiles",
"preferred_candidate",
"records"
]
}Default parameters
{
"direction": "lower",
"decay": 0.9699999999999999733546474089962430298328399658203125
}Example input
{
"current_regime": "high-vol",
"records": [
{
"candidate": "ar1",
"value": 0.6999999999999999555910790149937383830547332763671875,
"regime": "low-vol"
},
{
"candidate": "ar1",
"value": 0.90000000000000002220446049250313080847263336181640625,
"regime": "high-vol"
},
{
"candidate": "trend",
"value": 0.8000000000000000444089209850062616169452667236328125,
"regime": "low-vol"
},
{
"candidate": "trend",
"value": 0.59999999999999997779553950749686919152736663818359375,
"regime": "high-vol"
}
]
}