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280 Commits

Author SHA1 Message Date
Patrick Florek
c8bd8db601 # Association rule learning - Apriori algorithm 
* 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
Arkadiusz Kondas
638119fc98 code style fixes 2016-08-14 18:27:08 +02:00
Arkadiusz Kondas
f0bd5ae424 Create MLP Regressor draft 2016-08-12 16:29:50 +02:00
Arkadiusz Kondas
2412f15923 Add activationFunction parameter for Perceptron and Layer 2016-08-11 13:21:22 +02:00
Arkadiusz Kondas
c506a84164 refactor Backpropagation methods and simplify things 2016-08-10 23:03:02 +02:00
Arkadiusz Kondas
66d029e94f implement and test Backpropagation training 2016-08-10 22:43:47 +02:00
Arkadiusz Kondas
72afeb7040 implements and test multilayer perceptron methods 2016-08-09 13:27:43 +02:00
Arkadiusz Kondas
ddb3cc367b test abstraction from LayeredNetwork 2016-08-07 23:41:02 +02:00
Arkadiusz Kondas
12ee62bbca create Network and Training contracts 2016-08-05 16:12:39 +02:00
Arkadiusz Kondas
95b29d40b1 add Layer, Input and Bias for neutal network 2016-08-05 10:20:31 +02:00
Arkadiusz Kondas
7062ee29e1 add Neuron and Synapse classes 2016-08-02 20:30:20 +02:00
Arkadiusz Kondas
f186aa9c0b extract functions from loops and remove unused code 2016-08-02 13:23:58 +02:00
Arkadiusz Kondas
637fd613b8 implement activation function for neural network 2016-08-02 13:07:47 +02:00
Pablo Joán Iglesias
bbbf5cfc9d For each body should be wrapped in an if statement (#14) 
unit test to go with commit
 2016-07-26 08:14:57 +02:00
Arkadiusz Kondas
403824d23b test exception on kmeans 2016-07-24 14:01:17 +02:00
Arkadiusz Kondas
448eaafd78 remove unused exception 2016-07-24 13:52:52 +02:00
Arkadiusz Kondas
074dcf7470 php-cs-fixer 2016-07-19 21:59:23 +02:00
Arkadiusz Kondas
9665457159 implement ClassificationReport class 2016-07-19 21:58:59 +02:00
Arkadiusz Kondas
7abee3061a docs for files dataset and php-cs-fixer 2016-07-16 23:56:52 +02:00
Arkadiusz Kondas
e0b560f31d create FilesDataset class 2016-07-16 23:29:40 +02:00
Arkadiusz Kondas
9f140d5b6f fix problem with token count vectorizer array order 2016-07-14 13:25:11 +02:00
Arkadiusz Kondas
f04cc04da5 create StratifiedRandomSplit for cross validation 2016-07-10 14:13:35 +02:00
Arkadiusz Kondas
adc2d1c81b change hhvm to 3.12 2016-07-07 23:38:11 +02:00
Arkadiusz Kondas
f3288c5946 fix scalar typehint for hhvm 2016-07-07 23:33:06 +02:00
Arkadiusz Kondas
4aa9702943 fix errors on hhvm with float casting 2016-07-07 22:47:36 +02:00
Arkadiusz Kondas
6c7416a9c4 implement ConfusionMatrix metric 2016-07-07 00:29:58 +02:00
Arkadiusz Kondas
cce68997a1 implement StopWords in TokenCountVectorizer 2016-07-06 23:22:29 +02:00
Arkadiusz Kondas
a2aa27adba fix problem in SVM with path on windows 2016-07-04 22:22:22 +02:00
Arkadiusz Kondas
9507d58a80 add support for osx 2016-07-01 22:25:57 +02:00
Arkadiusz Kondas
be7693ff2e remove osx from travis - dont work with php 7.0 2016-06-30 23:27:17 +02:00
Arkadiusz Kondas
601ff884e8 php-cs-fixer 2016-06-17 00:34:15 +02:00
Arkadiusz Kondas
424519cd83 implement fit fot TokenCountVectorizer 2016-06-17 00:33:48 +02:00
Arkadiusz Kondas
3e9e70810d implement fit on Imputer 2016-06-17 00:16:49 +02:00
Arkadiusz Kondas
557f344018 add fit method for Transformer interface 2016-06-17 00:08:10 +02:00
Arkadiusz Kondas
4554011899 rename labels to targets for Dataset 2016-06-16 23:56:15 +02:00
Arkadiusz Kondas
7f4a0b243f transform samples for prediction in pipeline 2016-06-16 16:10:46 +02:00
Arkadiusz Kondas
26f2cbabc4 fix Pipeline transformation 2016-06-16 10:26:29 +02:00
Arkadiusz Kondas
d21a401365 implement Tranformer interface on preprocessing classes 2016-06-16 10:03:57 +02:00
Arkadiusz Kondas
7c5e79d2c6 change transformer behavior to reference 2016-06-16 10:01:40 +02:00
Arkadiusz Kondas
374182a6d4 simple pipeline test 2016-06-16 09:58:12 +02:00
Arkadiusz Kondas
cab79e7e36 change interfaces and add Estimator and Pipeline 2016-06-16 09:00:10 +02:00
Arkadiusz Kondas
cc50d2c9b1 implement TfIdf transformation 2016-06-15 16:04:09 +02:00
Arkadiusz Kondas
8a65026642 rename interface Vectorizer to Transformer 2016-06-15 14:09:49 +02:00
Arkadiusz Kondas
da6d94cc46 create stop words class 2016-06-14 11:54:04 +02:00
Arkadiusz Kondas
1ac4b44ee4 create stop words class 2016-06-14 11:53:58 +02:00
Arkadiusz Kondas
2f51716388 change token count vectorizer to return full token counts 2016-06-14 09:58:11 +02:00
Arkadiusz Kondas
fb04b57853 implement data Normalizer with L1 and L2 norm 2016-05-08 20:35:01 +02:00
Arkadiusz Kondas
65cdfe64b2 implement Median and MostFrequent strategy for imputer 2016-05-08 19:33:39 +02:00
Arkadiusz Kondas
a761d0e8f2 mode (dominant) from numbers 2016-05-08 19:23:54 +02:00
Arkadiusz Kondas
ed1e07e803 median function in statistic 2016-05-08 19:12:39 +02:00
Arkadiusz Kondas
b0ab236ab9 create imputer tool for completing missing values 2016-05-08 14:47:17 +02:00
Arkadiusz Kondas
46197eba7b add word tokenizer 2016-05-07 23:17:52 +02:00
Arkadiusz Kondas
430c1078cf implement support vector regression 2016-05-07 23:04:58 +02:00
Arkadiusz Kondas
c409658483 support vector classifier implementation 2016-05-07 22:17:12 +02:00
Arkadiusz Kondas
6cf6c5e768 add multi class svm test 2016-05-07 14:08:09 +02:00
Arkadiusz Kondas
95bfc890cd add windows libsvm binaries 2016-05-07 11:22:37 +02:00
Arkadiusz Kondas
7b5b6418f4 libsvm predict program implementation 2016-05-06 22:55:41 +02:00
Arkadiusz Kondas
dfb7b6b108 datatransformer test set 2016-05-06 22:38:50 +02:00
Arkadiusz Kondas
4ac2ac8a35 fix index for trainging set 2016-05-06 22:33:04 +02:00
Arkadiusz Kondas
95caef8692 start to implement SVM with libsvm 2016-05-05 23:29:11 +02:00
Arkadiusz Kondas
71400cc1e6 svm 2016-05-05 21:57:25 +02:00
Arkadiusz Kondas
24fc917d6a php-cs-fixer 2016-05-04 21:30:40 +02:00
Arkadiusz Kondas
791a54068b update composer 2016-05-04 21:29:26 +02:00
Arkadiusz Kondas
c05ce8c542 feature extractions tools - TokenCountVectorizez 2016-05-03 23:28:29 +02:00
Arkadiusz Kondas
fadd003169 create whitespace tokenizer 2016-05-03 00:33:18 +02:00
Arkadiusz Kondas
5c67cfaeef refactor kmeans init methods 2016-05-02 23:36:58 +02:00
Arkadiusz Kondas
56114d99ce fix param casting for hhvm compatibility 2016-05-02 23:06:17 +02:00
Arkadiusz Kondas
abd3b38490 refactor kmeans variables names 2016-05-02 14:02:00 +02:00
Arkadiusz Kondas
7572304d50 refactor kmeans subclasses 2016-05-01 23:36:33 +02:00
Arkadiusz Kondas
c0513e9b82 kmeans clustering 2016-05-01 23:17:09 +02:00
Arkadiusz Kondas
01a2499754 cs-fixer 2016-05-01 00:56:43 +02:00
Arkadiusz Kondas
26be771668 add distanceMetric for dbscan 2016-05-01 00:56:03 +02:00
Arkadiusz Kondas
22963114c3 dbscan clustering algorithm 2016-05-01 00:47:44 +02:00
Arkadiusz Kondas
650e7dd20d simply getDeterminant method 2016-04-30 23:54:05 +02:00
Arkadiusz Kondas
2952557028 improve matrix inverse 2016-04-30 23:47:35 +02:00
Arkadiusz Kondas
f7b91bea72 change Classifier namespace to Classification 2016-04-30 23:45:21 +02:00
Arkadiusz Kondas
ff79de7e14 better arguments format for regression 2016-04-30 13:54:01 +02:00
Arkadiusz Kondas
b1c47d5e9d test intercept and coefficients of linear regression 2016-04-30 13:32:40 +02:00
Arkadiusz Kondas
633974fea0 php-cs-fxier 2016-04-30 00:59:10 +02:00
Arkadiusz Kondas
60c796f5d9 create matrix calculation for ls regression for multiple variable 2016-04-30 00:58:54 +02:00
Arkadiusz Kondas
9d74174a68 ls reg with error :( 2016-04-29 23:03:08 +02:00
Arkadiusz Kondas
52cbda0482 replace mean calls 2016-04-27 23:57:05 +02:00
Arkadiusz Kondas
80a712e8a8 implement Least Squares Regression 2016-04-27 23:51:14 +02:00
Arkadiusz Kondas
cbec77d247 pearson correlation function 2016-04-27 23:28:01 +02:00
Arkadiusz Kondas
66dcfcf2b7 implement standard deviation of population function 2016-04-27 23:04:59 +02:00
Arkadiusz Kondas
af3b57692f linear regression is also hard 2016-04-25 22:55:34 +02:00
Arkadiusz Kondas
118ee0b5fe svm is hard :( 2016-04-21 23:21:08 +02:00
Arkadiusz Kondas
37782eba98 implement RBF kernel function 2016-04-21 22:54:38 +02:00
Arkadiusz Kondas
b30f4cbf11 make scalar function static 2016-04-21 22:12:45 +02:00
Arkadiusz Kondas
34281e40ee add scalar product function 2016-04-21 00:23:03 +02:00
Arkadiusz Kondas
9330785a6f extract Math namespace 2016-04-20 23:56:33 +02:00
Arkadiusz Kondas
6024b1f664 create SVM class skeleton 2016-04-19 22:54:33 +02:00
Arkadiusz Kondas
d9d7895947 force implementation of protected functon in Predictable trait 2016-04-19 22:54:15 +02:00
Arkadiusz Kondas
b04cf220bd rename exception named constructor name 2016-04-18 22:58:43 +02:00
Arkadiusz Kondas
ded28def2d fix minkowski distance 2016-04-17 17:47:30 +02:00
Arkadiusz Kondas
e5ca6c83f1 some bug in code 2016-04-17 17:10:26 +02:00
Arkadiusz Kondas
d2e0ce446c update classifier docs 2016-04-16 21:41:37 +02:00
Arkadiusz Kondas
5170c10773 simplify csv dataset 2016-04-16 21:34:50 +02:00
Arkadiusz Kondas
dea6972305 change csv dataset constructor 2016-04-16 21:27:49 +02:00
Arkadiusz Kondas
a4ab370a48 create traits for reduce complexity 2016-04-16 21:24:40 +02:00
Arkadiusz Kondas
100205d767 simple Naive Bayes classifier 2016-04-14 22:56:54 +02:00
Arkadiusz Kondas
85243f2d92 cs-fixer 2016-04-12 23:10:33 +02:00
Arkadiusz Kondas
79b76fb1a4 implement minkowski distance metric function 2016-04-12 22:02:14 +02:00
Arkadiusz Kondas
d82a12497a implement manhattan distance metric function 2016-04-12 21:43:25 +02:00
Arkadiusz Kondas
aed37e247e knn with chebyshev distance metric test 2016-04-11 21:50:29 +02:00
Arkadiusz Kondas
4d77a16e12 implement Chebyshev distance metric 2016-04-11 21:44:48 +02:00
Arkadiusz Kondas
d169ebf730 create Distance metrci interface and refactor classifier 2016-04-11 21:35:17 +02:00
Arkadiusz Kondas
171c6974e7 remove accuracy score tests on datasets 2016-04-09 15:52:22 +02:00
Arkadiusz Kondas
c9c592cb09 add glass identification dataset 2016-04-09 15:46:54 +02:00
Arkadiusz Kondas
dd53581309 wine class dataset 2016-04-09 15:33:05 +02:00
Arkadiusz Kondas
62ec4ec2f2 integration tests for knn classifier 2016-04-08 22:49:17 +02:00
Arkadiusz Kondas
e7d2780150 classifier predict array of samples or one sample 2016-04-08 22:25:15 +02:00
Arkadiusz Kondas
f1c81638d6 accuracy score with test 2016-04-08 22:11:59 +02:00
Arkadiusz Kondas
9899da7143 remove count from test condition 2016-04-07 23:08:04 +02:00
Arkadiusz Kondas
9c18a5a22d add tests for datasets 2016-04-07 22:35:49 +02:00
Arkadiusz Kondas
a20f474324 refactor csv dataset definition 2016-04-07 22:19:04 +02:00
Arkadiusz Kondas
d3247ebccb random split implementation and tests 2016-04-07 22:13:31 +02:00
Arkadiusz Kondas
bbcc8a3e68 random split implementation and tests 2016-04-07 22:12:36 +02:00
Arkadiusz Kondas
c3f98e4093 random splitter skeleton 2016-04-06 22:38:27 +02:00
Arkadiusz Kondas
649cbdb9a6 prepare cross validation random splitter 2016-04-06 22:38:08 +02:00
Arkadiusz Kondas
e521fb8f80 iris dataset loader 2016-04-06 21:46:17 +02:00
Arkadiusz Kondas
7cbeaecffb simple test for knn classifier 2016-04-05 21:35:06 +02:00
Arkadiusz Kondas
469848ff49 implement k nearest neighbors classifier 2016-04-05 21:06:53 +02:00
Arkadiusz Kondas
bd31f9a025 php-cs-fixer 2016-04-04 22:49:54 +02:00
Arkadiusz Kondas
dd927ef981 create phpunit configuration and first tests 2016-04-04 22:38:51 +02:00
Arkadiusz Kondas
ce1653a5a7 create euclidean distance function 2016-04-04 22:25:27 +02:00
Arkadiusz Kondas
f6a5611586 move functions definitions 2016-04-04 21:50:30 +02:00
Arkadiusz Kondas
4b91593085 add iris dataset csv file 2016-02-28 22:54:21 +01:00
Arkadiusz Kondas
040ae0fbb0 create Classifire interface 2016-02-09 07:45:07 +01:00
Arkadiusz Kondas
97e3f82c6e create first class :) 2016-02-08 23:20:08 +01:00