Closed jawache closed 1 year ago
https://www.openintro.org/data/index.php?data=cpu
@jawache please check this one.
https://www.kaggle.com/datasets/lincolnzh/cpu-specifications-dataset
@jawache another large dataset.
@jawache sent new dataset - integration in progress
next action:
units.yml
been updated to take into consideration the params used in this modelConfig
Observation
List the variables this model expects in an input observation
physical-processor
: The name of the processor (unsure if name is the unique key, or processor codename, or family? needs some investigation)Impacts
List the variables this model exports out as an impact
tdp
: The thermal design power for this CPUBehavior
What does the model do to turn the observations into impacts? List any important equations or references.
For a given processor name/family/core returns the TDP.
There are various sources of TDP, if we can source via an API that would be great, if we need to source manually into a CSV file that works also.
https://en.wikipedia.org/wiki/List_of_CPU_power_dissipation_figures https://rapidapi.com/ranjian0/api/cpu-data/details https://www.techpowerup.com/cpu-specs/ https://www.cpubenchmark.net/cpu.php?cpu=AMD+Ryzen+7+7730U&id=5215
Assumptions
What are the core assumptions this model makes?
Limitations
In what situations is this model limited in it's function, behaviour, accuracy etc...
Example
Provide at least one example of some input config and observations. This is in pimpl format not rimpl format, so the config is the global config and all parameters must be present on the observation.
Input
Output