mlpack benchmarks issues

mlpack / benchmarks

Machine Learning Benchmark Scripts

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AllKNN using Dlib-ml

#98 Iron-Stark closed 7 years ago
1
KMEANS in dlibml

#97 Iron-Stark closed 7 years ago
14
Install script for dlib-ml

#96 Iron-Stark closed 7 years ago
1
Updating Weka implementations.

#95 Iron-Stark closed 7 years ago
1
Update MATLAB implementations.

#94 Iron-Stark closed 7 years ago
2
Update Matlab implementations 2

#93 Iron-Stark closed 7 years ago
7
Update test files timeouts

#92 Iron-Stark closed 7 years ago
1
Making sure user has passed the test file and avoid failing in case it is not passed.

#91 Iron-Stark closed 7 years ago
11
export MATLAB_BIN path in the makefile.

#90 Iron-Stark opened 7 years ago
2
Updating Matlab implementations

#89 Iron-Stark closed 7 years ago
23
Update Scikit SVM implementation.

#88 Iron-Stark closed 7 years ago
3
Update elastic net scikit implementation and include test file for the same

#87 Iron-Stark closed 7 years ago
0
Updating adaboost scikit implementation.

#86 Iron-Stark closed 7 years ago
0
Updating Decision Tree scikit implementation.

#85 Iron-Stark closed 7 years ago
0
Update scikit KNC implementation

#84 Iron-Stark closed 7 years ago
0
Scikit Logistic Regression Implementation Updated.

#83 Iron-Stark closed 7 years ago
3
Scikit NBC implementation updated

#82 Iron-Stark closed 7 years ago
0
QDA Scikit implementation updated

#81 Iron-Stark closed 7 years ago
1
Scikit random forest implementation updated.

#80 Iron-Stark closed 7 years ago
0
Updating shogun implementations

#79 Iron-Stark closed 7 years ago
17
MRPT ANN test occasionally fails

#78 rcurtin opened 7 years ago
0
sweep support and options as dictionaries

#77 rcurtin closed 7 years ago
1
Fix Shogun kmeans benchmark run

#76 gut closed 7 years ago
9
Weka not being called correctly

#75 gut closed 7 years ago
1
Remove shlex call and update metrics.

#74 Iron-Stark closed 7 years ago
6
Perceptron changed to AveragedPerceptron

#73 Iron-Stark closed 7 years ago
4
QDA implementation according to shogun 6.0.0

#72 Iron-Stark closed 7 years ago
2
Remove get_labels() from linear_ridge_regression

#71 Iron-Stark closed 7 years ago
0
Include metrics in decision tree implementation

#70 Iron-Stark closed 7 years ago
4
Multiclass metrics in knc

#69 Iron-Stark closed 7 years ago
0
Remove extra variables from logistic regression

#68 Iron-Stark closed 7 years ago
1
Adding metrics to random forest implementation.

#67 Iron-Stark closed 7 years ago
5
Approximate Nearest Neighbours using Panns

#66 Iron-Stark closed 7 years ago
6
Unit test file for adaboost

#65 Iron-Stark closed 7 years ago
1
Benchmarking against milk library

#64 Iron-Stark closed 7 years ago
12
Avoid setting up an explicit python path on shogun

#63 gut opened 7 years ago
2
Please include scikit-learn on Prerequesites

#62 gut opened 7 years ago
3
Update sparse_coding.py

#61 Iron-Stark closed 7 years ago
0
Updation of scikit libraries

#60 Iron-Stark closed 7 years ago
8
Updation of LSHForest,allknn,elastic_net and gmm

#59 Iron-Stark closed 7 years ago
0
Included test for scikit implementation of Naive Bayes in benchmark_nbc.py

#58 Iron-Stark closed 7 years ago
3
Update logistic benchmark and added a call for Logistic Regression in shogun block of config.yaml

#57 Iron-Stark closed 7 years ago
5
Corrections made to the config.yaml file and added Scikit test in benchmark_decision_tree.py.

#56 Iron-Stark closed 7 years ago
2
Implementation of Random Forest Using Milk Library

#55 Iron-Stark closed 7 years ago
3
Implementation of random_forest in shogun

#54 Iron-Stark closed 7 years ago
6
Use local installations for benchmarking

#53 rcurtin closed 7 years ago
13
Implementation of Approximate Nearest Neighbours using the Nearpy Library.

#52 Iron-Stark closed 7 years ago
24
Create benchmark_decision_stump.py

#51 sam0410 closed 7 years ago
5
Implementation of Approximate Nearest Neighbors using the Nearpy Library

#50 Iron-Stark closed 7 years ago
1
Implementation of Approximate Nearest Neighbors in sklearn

#49 Iron-Stark closed 7 years ago
8

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