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NicolasHug / Surprise

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measures param for grid search and cross_validate should support callables

NicolasHug
NicolasHug commented Apr 6, 2018

For now only strings are accepted as the measures parameter in GridSearchCV, RandomizedSearchCV, and cross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.

We should then accept callables in addition to strings.

Each callable should only take the predictions parameter. In order to handle measur

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enhancement good first issue
Splitter

benedekrozemberczki / Splitter

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A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

machine-learning deep-learning clustering word2vec community-detection pytorch deepwalk gensim factorization network-embedding node2vec graph-embedding overlapping-community-detection deep-neural-network graph-representation-learning node-embedding implicit-factorization graph-neural-network ego-splitting word-vector
  • Updated Apr 1, 2020
  • Python

mithi / simple-cryptography

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Scripts that illustrate basic cryptography concepts based on Coursera Standford Cryptography I course and more.

cryptography algorithm crypto coursera ciphertext stanford padding-oracle-attacks factorization public-key-cryptography cryptographic-algorithms meet-in-the-middle symmetric-key-cryptography symmetric-encryption factoring rsa-attacks cryptography-concepts padding-oracle cryptographic-attacks meet-in-the-middle-attacks coursera-cryptography
  • Updated Jul 2, 2020
  • Python
NMFADMM

benedekrozemberczki / NMFADMM

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A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

optimization word2vec deepwalk matrix-factorization feature-extraction pca topic-modeling factorization lda unsupervised-learning admm sparse-matrix principal-component-analysis embedding nmf principal-components node2vec unsupervised-machine-learning word-embedding beta-divergence
  • Updated Jun 1, 2020
  • Python
recursion-and-dynamic-programming

je-suis-tm / recursion-and-dynamic-programming

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Julia and Python recursion algorithm and dynamic programming applications including Edit Distance, Knapsack, Stock Trading, Sierpiński Carpet, Pascal Triangle, Prime Factorization, Palindrome, Coin Change, Hanoi Tower, Fibonacci

memoization julia-language recursion edit-distance levenshtein-distance palindrome sierpinski-triangle dynamic-programming recursive-algorithm factorization tabulation fibonacci-numbers knapsack-problem fractals pascal-triangle knapsack hanoi-towers learning-julia julia-training julia-learning
  • Updated Jul 29, 2020
  • Julia
Abacus

foo123 / Abacus

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Abacus: Advanced combinatorics and algebraic number theory symbolic computation library for Node.js / Browser / XPCOM Javascript, Python, Java

polynomials matrices combinatorics permutations combinations factorization partitions tensors magic-square symbolic-computation groebner-basis extended-euclidean-algorithm primes primality-test greatest-common-divisor diophantine-solver derangement involution smith-normal-form algebraic-number-theory
  • Updated Sep 11, 2020
  • JavaScript

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