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1441. Hard vs soft voting
easy
Generalsenior
Function contract
Inputs
- pred_labels
- np.ndarray
- pred_probas
- np.ndarray
Returns
- value
- tuple
Examples
Input
{
"pred_labels": [
[
0,
1,
2,
1
],
[
1,
1,
2,
0
],
[
1,
2,
2,
0
]
],
"pred_probas": [
[
[
0.6,
0.3,
0.1
],
[
0.2,
0.5,
0.3
],
[
0.1,
0.2,
0.7
],
[
0.1,
0.6,
0.3
]
],
[
[
0.2,
0.7,
0.1
],
[
0.1,
0.7,
0.2
],
[
0.05,
0.25,
0.7
],
[
0.7,
0.2,
0.1
]
],
[
[
0.3,
0.6,
0.1
],
[
0.2,
0.2,
0.6
],
[
0.1,
0.1,
0.8
],
[
0.6,
0.3,
0.1
]
]
]
}Output
[
[
1,
1,
2,
0
],
[
1,
1,
2,
0
]
]Input Signature
| Argument | Type |
|---|---|
| pred_labels | np.ndarray |
| pred_probas | np.ndarray |
Output Signature
| Return Name | Type |
|---|---|
| value | tuple |
Constraints
Hint 1
Hint 2
Hint 3
Roles
ML Engineer
AI Engineer
Data Scientist
Research Scientist
Companies
GeneralLevels
senior
entry
Tags
ensemble-voting
numpy
multiclass-classification
argmax-tie-breaking
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