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decision-trees

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LightGBM

microsoft / LightGBM

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[R-package] training continuation unit test is broken

1

jameslamb commented Sep 29, 2019

One unit test in the R package is currently broken. Steps to reproduce on Mac

export CXX=/usr/local/bin/g++-8 CC=/usr/local/bin/gcc-8
Rscript build_r.R
cd R-package/tests
Rscript testthat.R

This results in the following error at the ends of the logs

[LightGBM] [Info] Saving data to binary file /var/folders/xq/wktq4zdx4jd3qdpk34d28m940000gn/T//RtmpiY1DzV/lgb.Dataset_1555

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bug good first issue help wanted r-package

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incorrect logged parameters in model file

6

catboost / catboost

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Custom c++ metric Run Problem

gavrenkov commented Jun 17, 2020

Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md

Impossible to use custom metric (С++).

Code example

from catboost import CatBoost
train_data = [[1, 4, 5, 6],

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bug good first issue

Open

Suggestion for Catboost Tutorial

8

Open

Implement ColumnDescriptionClass

1

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susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Jun 18, 2020
Jupyter Notebook

orange3

biolab / orange3

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🍊

📊

💡 Orange: Interactive data analysis https://orange.biolab.si

Updated Aug 20, 2020
Python

Trusted-AI / adversarial-robustness-toolbox

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

python deep-neural-networks attack scikit-learn extraction artificial-intelligence xgboost lightgbm logistic-regression support-vector-machine decision-trees ibm-research poisoning adversarial-machine-learning catboost ibm-research-ai gradient-boosted-trees defense-methods codait trusted-ai

Updated Aug 21, 2020
Python

justmarkham / DAT8

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General Assembly's 2015 Data Science course in Washington, DC

python data-science machine-learning natural-language-processing course clustering naive-bayes linear-regression scikit-learn jupyter-notebook pandas data-visualization web-scraping data-analysis ensemble-learning logistic-regression decision-trees regular-expressions data-cleaning model-evaluation

Updated Apr 18, 2016
Jupyter Notebook

tirthajyoti / Machine-Learning-with-Python

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Practice and tutorial-style notebooks covering wide variety of machine learning techniques

data-science machine-learning statistics deep-learning neural-network random-forest clustering numpy naive-bayes scikit-learn regression pandas artificial-intelligence classification dimensionality-reduction matplotlib decision-trees principal-component-analysis k-nearest-neighbours

Updated Aug 19, 2020
Jupyter Notebook

kk7nc / Text_Classification

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Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network

Updated Jun 15, 2020
Python

edyoda / data-science-complete-tutorial

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For extensive instructor led learning

machine-learning pipeline numpy linear-regression scikit-learn pandas feature-selection nearest-neighbors decision-trees

Updated Jul 15, 2020
Jupyter Notebook

RGF-team / rgf

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Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

machine-learning ml kaggle decision-trees ensemble-model regularized-greedy-forest decision-forest rgf

Updated Aug 6, 2020
C++

alvinwan / neural-backed-decision-trees

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Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

pytorch neural-networks imagenet image-classification pretrained-models decision-trees cifar10 interpretability pretrained-weights cifar100 tiny-imagenet explainability neural-backed-decision-trees

Updated Jun 17, 2020
Python

fukuball / fuku-ml

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Simple machine learning library / 簡單易用的機器學習套件

machine-learning neural-network svm linear-regression regression classification logistic-regression perceptron decision-trees support-vector-machines

Updated Sep 11, 2018
Python

jmartinezheras / 2018-MachineLearning-Lectures-ESA

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Machine Learning Lectures at the European Space Agency (ESA) in 2018

machine-learning text-mining lectures deep-learning neural-network random-forest clustering linear-regression pca topic-modeling machinelearning tf-idf decision-trees support-vector-machines lecture-videos lecture-material lecture-slides anomaly-detection

Updated Feb 17, 2020
Jupyter Notebook

mdabros / SharpLearning

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Machine learning for C# .Net

learning machine-learning opensource deep-learning csharp dotnet random-forest metrics machine cross-validation gradient-boosting-machine ensemble-learning adaboost decision-trees neural-nets

Updated Jul 12, 2020
C#

dmitryikh / leaves

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pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

go golang machine-learning xgboost lightgbm decision-trees boosting

Updated May 3, 2020
Go

arnaldog12 / Machine_Learning

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Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression

Updated Mar 21, 2019
Jupyter Notebook

dlab-berkeley / Machine-Learning-in-R

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Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

machine-learning tutorial random-forest cluster superlearner lasso xgboost pca decision-trees dlab-berkeley

Updated Mar 9, 2020
CSS

jayshah19949596 / Machine-Learning-Models

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Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

serengil / chefboost

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Lightweight Decision Trees Framework supporting Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree

Updated Jul 14, 2020
Python

CynthiaKoopman / Network-Intrusion-Detection

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Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

machine-learning random-forest cross-validation feature-selection decision-trees datamining intrusion-detection-system network-intrusion-detection kdd99 nsl-kdd

Updated Apr 5, 2020
Jupyter Notebook

RuleBasedIntegration / Rubi

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Include usage message of utility functions into the `Steps` display

halirutan commented Dec 12, 2018

Once #15 is implemented and we have a ::usage message for the integration-step condition function, this information should be included in the Steps display. I imagine for instance a tooltip when the user hovers over the green functions like IGtQ or GtQ

The implementation of this issue will require changed in [ShowStepFormatt

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Rubi interface good first issue help wanted

michaeldorner / DecisionTrees

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Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

tex paper theory decision-trees

Updated Nov 23, 2016
TeX

TomaszRewak / Face-Landmarking

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Real time face landmarking using decision trees and NN autoencoders

opencv machine-learning real-time computer-vision autoencoder face-detection decision-trees face-landmarking lips-movement-detection

Updated Feb 28, 2019
C++

IBCNServices / GENESIM

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An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance

data-mining ensemble decision-trees

Updated Nov 20, 2017
Scilab

SilverDecisions / SilverDecisions

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Software for creating and analyzing decision trees.

decision-making teaching decision-trees decision-model javascript-applications analyzing-decision-trees

Updated Aug 11, 2020
JavaScript

funq

psaris / funq

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Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

machine-learning neural-network clustering naive-bayes linear-regression pagerank collaborative-filtering expectation-maximization logistic-regression kdb q k-means decision-trees k-nearest-neighbours reccomendersystem heirarchical-clustering page-rank neural-network-regression neural-network-classification

Updated Aug 11, 2020
q

neurodata / SPORF

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This is the implementation of Sparse Projection Oblique Randomer Forest

python r cpp random-forest classification decision-trees

Updated Aug 20, 2020
C++

MBKraus / Predicting_real_estate_prices_using_scikit-learn

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Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression

Updated Apr 9, 2019
Python

xiangwang1223 / tree_enhanced_embedding_model

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TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018

xgboost decision-trees attention-mechanism www2018 explainable-recommendations

Updated May 2, 2019

cpfair / quran-tajweed

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Tajweed annotation for the Qur'an

quran decision-trees islam tajweed

Updated Dec 12, 2017
Python

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