Update README.md
Browse files
README.md
CHANGED
@@ -1 +1,37 @@
|
|
1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
datasets:
|
3 |
+
- scikit-learn/iris
|
4 |
+
language:
|
5 |
+
- en
|
6 |
+
---
|
7 |
+
---
|
8 |
+
Welcome to my model page!
|
9 |
+
|
10 |
+
#Model description
|
11 |
+
[info including architecture version here]
|
12 |
+
original implementation: by:
|
13 |
+
About the model:
|
14 |
+
TLDR info, training procedures, params, and disclaimers.
|
15 |
+
Disclaimer: This is a complete sandbox model and repo. for myself only.
|
16 |
+
|
17 |
+
|
18 |
+
#Intended uses & limitations
|
19 |
+
Use this for:
|
20 |
+
good for these languages:
|
21 |
+
recommended field and domain application:
|
22 |
+
|
23 |
+
|
24 |
+
#How to use
|
25 |
+
Here are some examples
|
26 |
+
pipeline()
|
27 |
+
|
28 |
+
|
29 |
+
#Training data
|
30 |
+
I trained this on the iris dataset (not really tho)
|
31 |
+
It contains measurements and characteristics for 3 different types of iris flowers.
|
32 |
+
|
33 |
+
#Training procedure
|
34 |
+
preprocessing, post processing. epochs:4 batch size 10, learning rate: ?? blah blah blah.
|
35 |
+
|
36 |
+
#Evaluation results
|
37 |
+
decision threshold: .70
|