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Model Selection

84 papers with code · Methodology

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Scikit-learn: Machine Learning in Python

2 Jan 2012scikit-learn/scikit-learn

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.

DIMENSIONALITY REDUCTION MODEL SELECTION REGRESSION

Tune: A Research Platform for Distributed Model Selection and Training

13 Jul 2018ray-project/ray

We show that this interface meets the requirements for a broad range of hyperparameter search algorithms, allows straightforward scaling of search to large clusters, and simplifies algorithm implementation.

HYPERPARAMETER OPTIMIZATION MODEL SELECTION

Easy Transfer Learning By Exploiting Intra-domain Structures

2 Apr 2019jindongwang/transferlearning

In this paper, we propose a practically Easy Transfer Learning (EasyTL) approach which requires no model selection and hyperparameter tuning, while achieving competitive performance.

MODEL SELECTION TRANSFER LEARNING

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

SCIPY 2013 2013 hyperopt/hyperopt

Sequential model-based optimization (also known as Bayesian optimization) is one of the most efficient methods (per function evaluation) of function minimization.

HYPERPARAMETER OPTIMIZATION MODEL SELECTION

metric-learn: Metric Learning Algorithms in Python

13 Aug 2019scikit-learn-contrib/metric-learn

metric-learn is an open source Python package implementing supervised and weakly-supervised distance metric learning algorithms.

METRIC LEARNING MODEL SELECTION

EPP: interpretable score of model predictive power

24 Aug 2019ModelOriented/DrWhy

Second is, that for k-fold cross-validation, the model performance is in most cases calculated as an average performance from particular folds, which neglects the information how stable is the performance for different folds.

MODEL SELECTION REGRESSION

The Merging Path Plot: adaptive fusing of k-groups with likelihood-based model selection

13 Sep 2017ModelOriented/DrWhy

In this article, we introduce The Merging Path Plot - a methodology, and factorMerger - an R package, for exploration and visualization of k-group dissimilarities.

MODEL SELECTION

BERTScore: Evaluating Text Generation with BERT

21 Apr 2019Tiiiger/bert_score

We propose BERTScore, an automatic evaluation metric for text generation.

IMAGE CAPTIONING MACHINE TRANSLATION MODEL SELECTION TEXT GENERATION

Data-driven Advice for Applying Machine Learning to Bioinformatics Problems

8 Aug 2017rhiever/sklearn-benchmarks

As the bioinformatics field grows, it must keep pace not only with new data but with new algorithms.

MODEL SELECTION