K-Fold Cross-Validation Coding | Dataford Interview Questions

Write a function to implement k-fold cross-validation.

Implement k_fold_split(X, y, k, shuffle=False, seed=None). Return a list of [train_indices, test_indices] pairs, keeping X and y aligned. When shuffle is true, use the supplied seed for deterministic shuffling; distribute samples as evenly as possible and assume valid inputs with 2 <= k <= len(X).

Constraints

2 <= k <= len(X)
len(X) == len(y)
1 <= len(X) <= 10^4
Each fold must contain either floor(n / k) or ceil(n / k) samples
Every sample index must occur in exactly one test fold

Function Signature

def k_fold_split(X, y, k, shuffle=False, seed=None):

Your question is K-Fold Cross-Validation Coding. Start with the requirements in the Question tab.

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Problem

Write a function to implement k-fold cross-validation.

Constraints

2 <= k <= len(X)
len(X) == len(y)
1 <= len(X) <= 10^4
Each fold must contain either floor(n / k) or ceil(n / k) samples
Every sample index must occur in exactly one test fold

Function Signature

def k_fold_split(X, y, k, shuffle=False, seed=None):

Your question is K-Fold Cross-Validation Coding. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.