|
--- |
|
datasets: |
|
- scikit-learn/iris |
|
language: |
|
- en |
|
--- |
|
--- |
|
Welcome to my model page! |
|
|
|
#Model description |
|
[info including architecture version here] |
|
original implementation: by: |
|
About the model: |
|
TLDR info, training procedures, params, and disclaimers. |
|
Disclaimer: This is a complete sandbox model and repo. for myself only. |
|
|
|
|
|
#Intended uses & limitations |
|
Use this for: |
|
good for these languages: |
|
recommended field and domain application: |
|
|
|
|
|
#How to use |
|
Here are some examples |
|
pipeline() |
|
|
|
|
|
#Training data |
|
I trained this on the iris dataset (not really tho) |
|
It contains measurements and characteristics for 3 different types of iris flowers. |
|
|
|
#Training procedure |
|
preprocessing, post processing. epochs:4 batch size 10, learning rate: ?? blah blah blah. |
|
|
|
#Evaluation results |
|
decision threshold: .70 |
