FelipeCasali-USP commited on
Commit
1538aa5
1 Parent(s): a420ac3

pushing files to the repo from the example!

Browse files
Files changed (3) hide show
  1. README.md +92 -0
  2. config.json +35 -0
  3. skops-kwpjljh4.pkl +3 -0
README.md ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: sklearn
3
+ tags:
4
+ - sklearn
5
+ - skops
6
+ - tabular-classification
7
+ model_format: pickle
8
+ model_file: skops-kwpjljh4.pkl
9
+ widget:
10
+ structuredData:
11
+ Classifier:
12
+ - cnpj
13
+ - cnpj
14
+ - cnpj
15
+ Data:
16
+ - '89094553000180'
17
+ - '56321179000190'
18
+ - '71685006000196'
19
+ Tag:
20
+ - 0
21
+ - 0
22
+ - 0
23
+ ---
24
+
25
+ # Model description
26
+
27
+ [More Information Needed]
28
+
29
+ ## Intended uses & limitations
30
+
31
+ [More Information Needed]
32
+
33
+ ## Training Procedure
34
+
35
+ [More Information Needed]
36
+
37
+ ### Hyperparameters
38
+
39
+ <details>
40
+ <summary> Click to expand </summary>
41
+
42
+ | Hyperparameter | Value |
43
+ |-------------------|---------|
44
+ | C | 1.0 |
45
+ | class_weight | |
46
+ | dual | False |
47
+ | fit_intercept | True |
48
+ | intercept_scaling | 1 |
49
+ | l1_ratio | |
50
+ | max_iter | 100 |
51
+ | multi_class | auto |
52
+ | n_jobs | |
53
+ | penalty | l2 |
54
+ | random_state | |
55
+ | solver | lbfgs |
56
+ | tol | 0.0001 |
57
+ | verbose | 0 |
58
+ | warm_start | False |
59
+
60
+ </details>
61
+
62
+ ### Model Plot
63
+
64
+ <style>#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac {color: black;background-color: white;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac pre{padding: 0;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-toggleable {background-color: white;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-estimator:hover {background-color: #d4ebff;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-item {z-index: 1;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-parallel::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-parallel-item:only-child::after {width: 0;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;position: relative;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-label-container {position: relative;z-index: 2;text-align: center;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac div.sk-text-repr-fallback {display: none;}</style><div id="sk-b9e1483c-5ec8-4c61-8c6e-d3973f1c75ac" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>LogisticRegression()</pre><b>Please rerun this cell to show the HTML repr or trust the notebook.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="f8e07c50-7b86-4299-9336-68f0fb7d60ca" type="checkbox" checked><label for="f8e07c50-7b86-4299-9336-68f0fb7d60ca" class="sk-toggleable__label sk-toggleable__label-arrow">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression()</pre></div></div></div></div></div>
65
+
66
+ ## Evaluation Results
67
+
68
+ [More Information Needed]
69
+
70
+ # How to Get Started with the Model
71
+
72
+ [More Information Needed]
73
+
74
+ # Model Card Authors
75
+
76
+ This model card is written by following authors:
77
+
78
+ [More Information Needed]
79
+
80
+ # Model Card Contact
81
+
82
+ You can contact the model card authors through following channels:
83
+ [More Information Needed]
84
+
85
+ # Citation
86
+
87
+ Below you can find information related to citation.
88
+
89
+ **BibTeX:**
90
+ ```
91
+ [More Information Needed]
92
+ ```
config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "sklearn": {
3
+ "columns": [
4
+ "Data",
5
+ "Classifier",
6
+ "Tag"
7
+ ],
8
+ "environment": [
9
+ "scikit-learn=1.0.2"
10
+ ],
11
+ "example_input": {
12
+ "Classifier": [
13
+ "cnpj",
14
+ "cnpj",
15
+ "cnpj"
16
+ ],
17
+ "Data": [
18
+ "89094553000180",
19
+ "56321179000190",
20
+ "71685006000196"
21
+ ],
22
+ "Tag": [
23
+ 0,
24
+ 0,
25
+ 0
26
+ ]
27
+ },
28
+ "model": {
29
+ "file": "skops-kwpjljh4.pkl"
30
+ },
31
+ "model_format": "pickle",
32
+ "task": "tabular-classification",
33
+ "use_intelex": false
34
+ }
35
+ }
skops-kwpjljh4.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1edeafe79723724b907cb1c3dd3ef21f38ef00578476a4a02f3ab5cf73a56cf
3
+ size 32753