1d73503958
Ensemble Classifiers : Bagging and RandomForest ( #36 )
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* Fuzzy C-Means implementation
* Update FuzzyCMeans
* Rename FuzzyCMeans to FuzzyCMeans.php
* Update NaiveBayes.php
* Small fix applied to improve training performance
array_unique is replaced with array_count_values+array_keys which is way
faster
* Revert "Small fix applied to improve training performance"
This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.
* Revert "Revert "Small fix applied to improve training performance""
This reverts commit ea10e136c4c11b71609ccdcaf9999067e4be473e.
* Revert "Small fix applied to improve training performance"
This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.
* First DecisionTree implementation
* Revert "First DecisionTree implementation"
This reverts commit 4057a08679c26010c39040a48a3e6dad994a1a99.
* DecisionTree
* FCM Test
* FCM Test
* DecisionTree Test
* Ensemble classifiers: Bagging and RandomForests
* test
* Fixes for conflicted files
* Bagging and RandomForest ensemble algorithms
* Changed unit test
* Changed unit test
* Changed unit test
* Bagging and RandomForest ensemble algorithms
* Baggging and RandomForest ensemble algorithms
* Bagging and RandomForest ensemble algorithms
RandomForest algorithm is improved with changes to original DecisionTree
* Bagging and RandomForest ensemble algorithms
* Slight fix about use of global Exception class
* Fixed the error about wrong use of global Exception class
* RandomForest code formatting
2017-02-07 12:37:56 +01:00
b7c9983524
Do not requre file to exist for model manager
2017-02-03 17:48:15 +01:00
858d13b0fa
Update phpunit to 6.0
2017-02-03 12:58:25 +01:00
8f122fde90
Persistence class to save and restore models ( #37 )
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* Models manager with save/restore capabilities
* Refactoring dataset exceptions
* Persistency layer docs
* New tests for serializable estimators
* ModelManager static methods to instance methods
2017-02-02 09:03:09 +01:00
c1b1a5d6ac
Support for multiple training datasets ( #38 )
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* Multiple training data sets allowed
* Tests with multiple training data sets
* Updating docs according to #38
Documenting all models which predictions will be based on all
training data provided.
Some models already supported multiple training data sets.
2017-02-01 19:06:38 +01:00
c3686358b3
Add rules for new cs-fixer
2017-01-31 20:33:08 +01:00
87396ebe58
DecisionTree and Fuzzy C Means classifiers ( #35 )
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* Fuzzy C-Means implementation
* Update FuzzyCMeans
* Rename FuzzyCMeans to FuzzyCMeans.php
* Update NaiveBayes.php
* Small fix applied to improve training performance
array_unique is replaced with array_count_values+array_keys which is way
faster
* Revert "Small fix applied to improve training performance"
This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.
* Revert "Revert "Small fix applied to improve training performance""
This reverts commit ea10e136c4c11b71609ccdcaf9999067e4be473e.
* Revert "Small fix applied to improve training performance"
This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.
* DecisionTree
* FCM Test
* FCM Test
* DecisionTree Test
2017-01-31 20:27:15 +01:00
a78ebc159a
Use assertCount in tests
2016-12-12 19:31:30 +01:00
b6fe290c65
Fix for php7.1 accuracy test score
2016-12-12 19:28:26 +01:00
12d0adda62
Increase iterations number in Backpropagation test (sometimes it fails)
2016-11-20 22:56:18 +01:00
cbdc049526
Update php-cs-fixer
2016-11-20 22:53:17 +01:00
bca2196b57
Prevent Division by zero error in classification report
2016-11-20 22:49:26 +01:00
349ea16f01
Rename demo datasets and add Dataset suffix
2016-09-30 14:02:08 +02:00
84af842f04
Fix division by zero in ClassificationReport #21
2016-09-27 20:07:21 +02:00
1ce6bb544b
Run php-cs-fixer
2016-09-21 21:51:19 +02:00
8072ddb2bf
Update phpunit to 5.5
2016-09-21 21:46:16 +02:00
fa87eca375
Add new class Set for simple Set-theoretical operations
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### Features
* Works only with primitive types int, float, string
* Implements set theortic operations union, intersection, complement
* Modifies set by adding, removing elements
* Implements \IteratorAggregate for use in loops
### Implementation details
Based on array functions:
* array_diff,
* array_merge,
* array_intersection,
* array_unique,
* array_values,
* sort.
### Drawbacks
* **Do not work with objects.**
* Power set and Cartesian product returning array of Set
2016-09-10 13:24:43 +02:00
90038befa9
Apply comments / coding styles
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* Remove user-specific gitignore
* Add return type hints
* Avoid global namespace in docs
* Rename rules -> getRules
* Split up rule generation
Todo:
* Move set theory out to math
* Extract rule generation
2016-09-02 00:26:01 +02:00
c8bd8db601
# Association rule learning - Apriori algorithm
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* Generating frequent k-length item sets
* Generating rules based on frequent item sets
* Algorithm has exponential complexity, be aware of it
* Apriori algorithm is split into apriori and candidates method
* Second step rule generation is implemented by rules method
* Internal methods are invoked for fine grain unit tests
* Wikipedia's train samples and an alternative are provided for test cases
* Small documentation for public interface is also shipped
2016-08-23 15:44:53 +02:00
6421a2ba41
Develop to master ( #18 )
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* Fix Backpropagation test with explicit random generator seed
* remove custom seed - not working :(
* Updated links in readme
2016-08-21 14:03:20 +02:00
c506a84164
refactor Backpropagation methods and simplify things
2016-08-10 23:03:02 +02:00
66d029e94f
implement and test Backpropagation training
2016-08-10 22:43:47 +02:00
e5d39ee18a
implements and test multilayer perceptron methods
2016-08-09 13:27:48 +02:00
64859f263f
test abstraction from LayeredNetwork
2016-08-07 23:41:08 +02:00
95b29d40b1
add Layer, Input and Bias for neutal network
2016-08-05 10:20:31 +02:00
7062ee29e1
add Neuron and Synapse classes
2016-08-02 20:30:20 +02:00
637fd613b8
implement activation function for neural network
2016-08-02 13:07:47 +02:00
38deaaeb2e
testScalarProduct check for non numeric values ( #13 )
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* testScalarProduct check for non numeric values
test for non numeric values.
* updating pr #13
using global namespace fro stdClass
2016-07-26 08:13:52 +02:00
403824d23b
test exception on kmeans
2016-07-24 14:01:17 +02:00
448eaafd78
remove unused exception
2016-07-24 13:52:52 +02:00
2a76cbb402
add .coverage to git ignore
2016-07-24 13:42:50 +02:00
093e8fc89c
add more tests for CReport
2016-07-19 22:01:39 +02:00
074dcf7470
php-cs-fixer
2016-07-19 21:59:23 +02:00
9665457159
implement ClassificationReport class
2016-07-19 21:58:59 +02:00
7abee3061a
docs for files dataset and php-cs-fixer
2016-07-16 23:56:52 +02:00
e0b560f31d
create FilesDataset class
2016-07-16 23:29:40 +02:00
9f140d5b6f
fix problem with token count vectorizer array order
2016-07-14 13:25:11 +02:00
7c0767c15a
create docs for tf-idf transformer
2016-07-12 00:21:34 +02:00
f04cc04da5
create StratifiedRandomSplit for cross validation
2016-07-10 14:13:35 +02:00
6c7416a9c4
implement ConfusionMatrix metric
2016-07-07 00:29:58 +02:00
cce68997a1
implement StopWords in TokenCountVectorizer
2016-07-06 23:22:29 +02:00
601ff884e8
php-cs-fixer
2016-06-17 00:34:15 +02:00
424519cd83
implement fit fot TokenCountVectorizer
2016-06-17 00:33:48 +02:00
be7423350f
add more tests for fit metod in preprocessors
2016-06-17 00:23:27 +02:00
3e9e70810d
implement fit on Imputer
2016-06-17 00:16:49 +02:00
557f344018
add fit method for Transformer interface
2016-06-17 00:08:10 +02:00
4554011899
rename labels to targets for Dataset
2016-06-16 23:56:15 +02:00
7f4a0b243f
transform samples for prediction in pipeline
2016-06-16 16:10:46 +02:00
26f2cbabc4
fix Pipeline transformation
2016-06-16 10:26:29 +02:00
d21a401365
implement Tranformer interface on preprocessing classes
2016-06-16 10:03:57 +02:00
7c5e79d2c6
change transformer behavior to reference
2016-06-16 10:01:40 +02:00
15519ba122
simple pipeline test
2016-06-16 09:58:17 +02:00
cc50d2c9b1
implement TfIdf transformation
2016-06-15 16:04:09 +02:00
da6d94cc46
create stop words class
2016-06-14 11:54:04 +02:00
2f51716388
change token count vectorizer to return full token counts
2016-06-14 09:58:11 +02:00
23eff0044a
add test with dataset example
2016-05-31 20:01:54 +02:00
fb04b57853
implement data Normalizer with L1 and L2 norm
2016-05-08 20:35:01 +02:00
65cdfe64b2
implement Median and MostFrequent strategy for imputer
2016-05-08 19:33:39 +02:00
a761d0e8f2
mode (dominant) from numbers
2016-05-08 19:23:54 +02:00
ed1e07e803
median function in statistic
2016-05-08 19:12:39 +02:00
b0ab236ab9
create imputer tool for completing missing values
2016-05-08 14:47:17 +02:00
46197eba7b
add word tokenizer
2016-05-07 23:17:52 +02:00
078f543146
add word tokenizer
2016-05-07 23:17:46 +02:00
430c1078cf
implement support vector regression
2016-05-07 23:04:58 +02:00
c409658483
support vector classifier implementation
2016-05-07 22:17:12 +02:00
6cf6c5e768
add multi class svm test
2016-05-07 14:08:09 +02:00
7b5b6418f4
libsvm predict program implementation
2016-05-06 22:55:41 +02:00
dfb7b6b108
datatransformer test set
2016-05-06 22:38:50 +02:00
4ac2ac8a35
fix index for trainging set
2016-05-06 22:33:04 +02:00
95caef8692
start to implement SVM with libsvm
2016-05-05 23:29:11 +02:00
c05ce8c542
feature extractions tools - TokenCountVectorizez
2016-05-03 23:28:29 +02:00
fadd003169
create whitespace tokenizer
2016-05-03 00:33:18 +02:00
bb9e1aa4f0
test kmeans init methods
2016-05-01 23:44:04 +02:00
7572304d50
refactor kmeans subclasses
2016-05-01 23:36:33 +02:00
c0513e9b82
kmeans clustering
2016-05-01 23:17:09 +02:00
01a2499754
cs-fixer
2016-05-01 00:56:43 +02:00
22963114c3
dbscan clustering algorithm
2016-05-01 00:47:44 +02:00
f7b91bea72
change Classifier namespace to Classification
2016-04-30 23:45:21 +02:00
ee9bb7b252
add tests for matrix class
2016-04-30 23:21:32 +02:00
ff9adc267c
better arguments format for regression
2016-04-30 13:54:58 +02:00
ff79de7e14
better arguments format for regression
2016-04-30 13:54:01 +02:00
b1c47d5e9d
test intercept and coefficients of linear regression
2016-04-30 13:32:40 +02:00
633974fea0
php-cs-fxier
2016-04-30 00:59:10 +02:00
60c796f5d9
create matrix calculation for ls regression for multiple variable
2016-04-30 00:58:54 +02:00
9d74174a68
ls reg with error :(
2016-04-29 23:03:08 +02:00
3e4dc3ddf8
add test for mean with floats
2016-04-28 07:32:48 +02:00
b5e4cbe66e
add Mean::arithmetic tests
2016-04-27 23:57:23 +02:00
80a712e8a8
implement Least Squares Regression
2016-04-27 23:51:14 +02:00
cbec77d247
pearson correlation function
2016-04-27 23:28:01 +02:00
66dcfcf2b7
implement standard deviation of population function
2016-04-27 23:04:59 +02:00
af3b57692f
linear regression is also hard
2016-04-25 22:55:34 +02:00
46da769ca6
typo in variable name
2016-04-25 20:16:53 +02:00
37782eba98
implement RBF kernel function
2016-04-21 22:54:38 +02:00
b30f4cbf11
make scalar function static
2016-04-21 22:12:45 +02:00
34281e40ee
add scalar product function
2016-04-21 00:23:03 +02:00
9330785a6f
extract Math namespace
2016-04-20 23:56:33 +02:00
a4ab370a48
create traits for reduce complexity
2016-04-16 21:24:40 +02:00
100205d767
simple Naive Bayes classifier
2016-04-14 22:56:54 +02:00
85243f2d92
cs-fixer
2016-04-12 23:10:33 +02:00
79b76fb1a4
implement minkowski distance metric function
2016-04-12 22:02:14 +02:00
d82a12497a
implement manhattan distance metric function
2016-04-12 21:43:25 +02:00
aed37e247e
knn with chebyshev distance metric test
2016-04-11 21:50:29 +02:00
14bffbe38a
:implement Chebyshev distance metric
2016-04-11 21:46:50 +02:00
4d77a16e12
implement Chebyshev distance metric
2016-04-11 21:44:48 +02:00
d169ebf730
create Distance metrci interface and refactor classifier
2016-04-11 21:35:17 +02:00
171c6974e7
remove accuracy score tests on datasets
2016-04-09 15:52:22 +02:00
a992f65200
remove accuracy score tests on datasets
2016-04-09 15:50:48 +02:00
c9c592cb09
add glass identification dataset
2016-04-09 15:46:54 +02:00
dd53581309
wine class dataset
2016-04-09 15:33:05 +02:00
5be2147784
creat docs files
2016-04-09 00:36:48 +02:00
62ec4ec2f2
integration tests for knn classifier
2016-04-08 22:49:17 +02:00
e7d2780150
classifier predict array of samples or one sample
2016-04-08 22:25:15 +02:00
f1c81638d6
accuracy score with test
2016-04-08 22:11:59 +02:00
db9d57cd22
add tests for datasets
2016-04-07 22:36:02 +02:00
9c18a5a22d
add tests for datasets
2016-04-07 22:35:49 +02:00
bbcc8a3e68
random split implementation and tests
2016-04-07 22:12:36 +02:00
649cbdb9a6
prepare cross validation random splitter
2016-04-06 22:38:08 +02:00
e521fb8f80
iris dataset loader
2016-04-06 21:46:17 +02:00
7cbeaecffb
simple test for knn classifier
2016-04-05 21:35:06 +02:00
bd31f9a025
php-cs-fixer
2016-04-04 22:49:54 +02:00
5c348e8452
add more Euclidean distance tests
2016-04-04 22:48:07 +02:00
dd927ef981
create phpunit configuration and first tests
2016-04-04 22:38:51 +02:00
Mustafa Karabulut
Arkadiusz Kondas
David Monllaó
Patrick Florek
Pablo Joán Iglesias