Previous question · 536
Inner Join Two Tables
easyDatabase
Next question · 538
Lowest Adwords Earnings
easyDatabase
Random coding question
537. Feature correlation filtering
medium
Generalstaff
Function contract
Inputs
- X
- np.ndarray
- threshold
- float
- feature_names
- list
Returns
- value
- list
Examples
Input
{
"X": [
[
1,
2,
10
],
[
2,
4,
9
],
[
3,
6,
8
],
[
4,
8,
7
]
],
"threshold": 0.95,
"feature_names": [
"a",
"b",
"c"
]
}Output
[
"a"
]Input Signature
| Argument | Type |
|---|---|
| X | np.ndarray |
| threshold | float |
| feature_names | list |
Output Signature
| Return Name | Type |
|---|---|
| value | list |
Constraints
Hint 1
Hint 2
Hint 3
Roles
ML Engineer
AI Engineer
Data Scientist
Research Scientist
Analytics Engineer
Companies
GeneralLevels
staff
senior
entry
Tags
pearson-correlation
greedy-algorithm
feature-selection
numpy
Similar Questions
Linear Regressionmedium
ML CodingActivation function relueasy
ML CodingText normalizationmedium
ML Coding16 people are solving this problem
Loading editor for the selected language
Ln 1, Col 1
Program Output
DATAINTERVIEW
Interactive coding terminal
Python / NumPy environment ready.
Type a command below or run code from the editor.
run scriptExecute the current editor contents
submitGrade the current editor contents against all solution test cases
python ("print hello world")Run an isolated Python command
helpShow all available commands