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Author SHA1 Message Date
Attila Bakos 7d5c6b15a4 Updates to the documentation (linguistic corrections) (#414) 
* Fix typo in Features list

* Update distance.md documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation
 2019-11-02 11:41:34 +01:00
KenorFR cefb4fc7a7 Ngram word (#370) 
* Add NGramWordTokenizer

* Update doc
Add test
Check coding standards
 2019-04-05 21:23:09 +02:00
Pol Dellaiera 02dab41830 Provide a new NGramTokenizer with minGram and maxGram support (#350) 
* Issue #349: Provide a new NGramTokenizer.

* Issue #349: Add tests.

* Fixes from code review.

* Implement NGramTokenizer with min and max gram support

* Add missing tests for ngram

* Add info about NGramTokenizer to docs and readme

* Add performance test for tokenization
 2019-02-15 17:31:10 +01:00
Arkadiusz Kondas 6844cf407a
Fix typo in naive bayes docs 2019-01-23 09:41:44 +01:00
Arkadiusz Kondas 18c36b971f
Mnist Dataset (#326) 
* Implement MnistDataset

* Add MNIST dataset documentation
 2018-11-07 08:02:56 +01:00
Arkadiusz Kondas e255369636
Fix Imputer docs and check if train data was set (#314) 
* Update docs for Imputer class

* Throw exception when trying to transform imputer without train data

* Update changelog
 2018-10-10 21:36:18 +02:00
Yuji Uchiyama ab22cc5b68 Change the default kernel type in SVC to Kernel::RBF (#267) 
* Change the default kernel type in SVC to Kernel::RBF

* Update CHANGELOG.md
 2018-06-20 23:28:11 +02:00
Yuji Uchiyama 8b0d12c219 Fix SVR documentation (#265) 2018-03-20 17:25:25 +01:00
Ivana Momcilovic af2d732194 KMeans associative clustering (#262) 
* KMeans associative clustering added

* fix travis error

* KMeans will return provided keys as point label if they are provided

* fix travis

* fix travis
 2018-03-08 22:27:16 +01:00
Arkadiusz Kondas 8976047cbc
Add removeColumns function to ArrayDataset (#249) 
* Add removeColumns function to ArrayDataset

* Add removeColumns to docs

* Fix cs
 2018-03-03 16:04:21 +01:00
Yuji Uchiyama 9c195559df Update apriori documentation (#245) 
* Fix a wrong word

* More precise description about support and confidence
 2018-02-27 18:50:07 +01:00
Yuji Uchiyama 4562f1dfc9 Add a SvmDataset class for SVM-Light (or LibSVM) format files (#237) 
* Add data loader for svm format

* Add tests for error cases

* Set proper exception messages

* Add documents

* Add error checking code for invalid column format

* Add missing documents
 2018-02-24 11:17:35 +01:00
Arkadiusz Kondas 451f84c2e6 Add SelectKBest docs 2018-02-14 20:34:53 +01:00
Arkadiusz Kondas 3ba35918a3
Implement VarianceThreshold - simple baseline approach to feature selection. (#228) 
* Add sum of squares deviations

* Calculate population variance

* Add VarianceThreshold - feature selection transformer

* Add docs about VarianceThreshold

* Add missing code for pipeline usage
 2018-02-10 18:07:09 +01:00
Yuji Uchiyama ec091b5ea3 Support probability estimation in SVC (#218) 
* Add test for svm model with probability estimation

* Extract buildPredictCommand method

* Fix test to use PHP_EOL

* Add predictProbability method (not completed)

* Add test for DataTransformer::predictions

* Fix SVM to use PHP_EOL

* Support probability estimation in SVM

* Add documentation

* Add InvalidOperationException class

* Throw InvalidOperationException before executing libsvm if probability estimation is not supported
 2018-02-06 20:39:25 +01:00
Yuji Uchiyama ed775fb232 Fix documentation of apriori (#221) 
* Fix the return value of the single sample prediction

* Fix typo
 2018-02-05 18:50:45 +01:00
Jonathan Baldie c32bf3fe2b Configure an Activation Function per hidden layer (#208) 
* ability to specify per-layer activation function

* some tests for new addition to layer

* appease style CI whitespace issue

* more flexible addition of layers, and developer can pass Layer object in manually

* new test for layer object in mlp constructor

* documentation for added MLP functionality
 2018-02-01 23:15:36 +01:00
Yuji Uchiyama 9f0723f7d0 Fix documentation of ClassificationReport (#209) 
* Fix values in example code

* Remove inconsistent empty lines
 2018-01-31 19:20:50 +01:00
Yuji Uchiyama 554c86af68 Choose averaging method in classification report (#205) 
* Fix testcases of ClassificationReport

* Fix averaging method in ClassificationReport

* Fix divided by zero if labels are empty

* Fix calculation of f1score

* Add averaging methods (not completed)

* Implement weighted average method

* Extract counts to properties

* Fix default to macro average

* Implement micro average method

* Fix style

* Update docs

* Fix styles
 2018-01-29 18:06:21 +01:00
David Monllaó e83f7b95d5 Fix activation functions support (#163) 
- Backpropagation using the neuron activation functions derivative
- instead of hardcoded sigmoid derivative
- Added missing activation functions derivatives
- Sigmoid forced for the output layer
- Updated ThresholdedReLU default threshold to 0 (acts as a ReLU)
- Unit tests for derivatives
- Unit tests for classifiers using different activation functions
- Added missing docs
 2018-01-09 11:09:59 +01:00
David Monllaó c4ad117d28 Ability to update learningRate in MLP (#160) 
* Allow people to update the learning rate

* Test for learning rate setter
 2017-12-05 21:09:06 +01:00
David Monllaó b1d40bfa30 Change from theta to learning rate var name in NN (#159) 2017-11-20 23:39:50 +01:00
David Monllaó f7537c049a documentation add tokenizer->fit required to build the dictionary (#155) 2017-11-16 21:40:11 +01:00
David Monllaó de50490154 Neural networks partial training and persistency (#91) 
* Neural networks partial training and persistency

* cs fixes

* Add partialTrain to nn docs

* Test for invalid partial training classes provided
 2017-05-23 09:03:05 +02:00
David Monllaó 4af8449b1c Neural networks improvements (#89) 
* MultilayerPerceptron interface changes

- Signature closer to other algorithms
- New predict method
- Remove desired error
- Move maxIterations to constructor

* MLP tests for multiple hidden layers and multi-class

* Update all MLP-related tests

* coding style fixes

* Backpropagation included in multilayer-perceptron
 2017-05-18 00:07:14 +02:00
David Monllaó c0463ae087 Fix wrong docs references (#79) 2017-04-13 21:34:55 +02:00
Bill Nunney 8be19567a2 Update imputation example to use transform method (#57) 2017-03-09 20:41:15 +01:00
David Monllaó 8f122fde90 Persistence class to save and restore models (#37) 
* 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
David Monllaó c1b1a5d6ac Support for multiple training datasets (#38) 
* 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
Robert Boloc aace5ff022 Fix documentation links 2017-01-05 20:37:48 +00:00
Ken Seah 8a0a9f09e2 Update array-dataset.md 
Method has already changed name to getTargets() instead of getLabels()
 2016-11-04 00:03:49 +11:00
Patrick Florek 90038befa9 Apply comments / coding styles 
* 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
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 3599367ce8 Add docs for neural network 2016-08-14 19:14:56 +02:00
Arkadiusz Kondas 963cfea551 add ClassificationReport docs 2016-07-19 22:17:03 +02:00
Arkadiusz Kondas 7abee3061a docs for files dataset and php-cs-fixer 2016-07-16 23:56:52 +02:00
Arkadiusz Kondas 7c0767c15a create docs for tf-idf transformer 2016-07-12 00:21:34 +02:00
Arkadiusz Kondas ba8927459c add docs for ConfusionMatrix 2016-07-12 00:11:18 +02:00
Arkadiusz Kondas bb35d045ba add docs for Pipeline 2016-07-12 00:00:17 +02:00
Arkadiusz Kondas ee6ea3b850 create docs for StratifiedRandomSplit 2016-07-11 00:07:07 +02:00
Arkadiusz Kondas d19490d62a update docs example 2016-05-31 18:02:30 +02:00
Arkadiusz Kondas 325427c723 update missing docs 2016-05-14 21:30:13 +02:00
Arkadiusz Kondas ccfa38ba4d wine and glass demo dataset docs 2016-05-10 23:44:28 +02:00
Arkadiusz Kondas 77647fda45 update readme 2016-05-09 23:52:09 +02:00
Arkadiusz Kondas 365a9baeca update docs 2016-05-07 23:53:42 +02:00
Arkadiusz Kondas 5950af6072 update and refactor documentation 2016-05-02 13:49:19 +02:00
Arkadiusz Kondas d2e0ce446c update classifier docs 2016-04-16 21:41:37 +02:00
Arkadiusz Kondas 6f5f190600 docs for manhattan distance 2016-04-15 22:32:20 +02:00
Arkadiusz Kondas 50fbcddfc4 create docs for distance metrics functions 2016-04-13 21:20:55 +02:00
Arkadiusz Kondas 5be2147784 creat docs files 2016-04-09 00:36:48 +02:00