Added
- Add [changelog.md](changelog.md) for the next releases ([ee44ac9](https://github.com/nok/sklearn-porter/commit/ee44ac92618bf48e3aff6fbb65591b6f87c88826)).
- Add [changelog.md](changelog.md) and [readme.md](readme.md) to each build of a release ([ee44ac9](https://github.com/nok/sklearn-porter/commit/ee44ac92618bf48e3aff6fbb65591b6f87c88826)).
- Add for each target programming language a new new command-line argument (e.g. `--java`, `--c` or `--go`) ([41b93a0](https://github.com/nok/sklearn-porter/commit/41b93a0bff44dd045e711a08a53fe8c75d8d460a)).
- Add argument `--class_name` and `--method_name` to define the class and method name in the final output directly ([6f2a1d9](https://github.com/nok/sklearn-porter/commit/6f2a1d97b5cddb6232a4fcf0d469cf167a019fdf)).
- Add pipe functionality and the related command-line argument (`--pipe` or `-p`) ([8a57746](https://github.com/nok/sklearn-porter/commit/8a57746e4e97b137032fa7401e37792d496c0aa2)).
- Add `--export` argument to dump the model data and use the specific templates ([0669645](https://github.com/nok/sklearn-porter/commit/0669645acdfa8cbe39a8446f95f671c580cc2026)).
- Add `--checksum` argument to append the computed md5 checksum at the end of the dumped model data file ([cd12827](https://github.com/nok/sklearn-porter/commit/cd12827cb136d0711c555fe321f72d6aa8326143)).
- Add `--data` argument to kust export the model data ([fad499a](https://github.com/nok/sklearn-porter/commit/fad499a4448f55d8c344f1088cca54a5c267c3e9)).
- Add test class `Go` in `tests/language/Go.py` to test all implementations for the target programming language Go ([1d0b5d6](https://github.com/nok/sklearn-porter/commit/1d0b5d6a2bf1a5604ae283cc728e3a83fb17a6ea)).
- Add Go compiling (`go build -o brain brain.go`) and execution (`./brain`) command ([5d24f57](https://github.com/nok/sklearn-porter/commit/5d24f57ec50e9935dac8389e243deda7b09659d7)).
- Add initial Web Workers features in JavaScript templates ([87d3236](https://github.com/nok/sklearn-porter/commit/87d32365d06ba01cce7667b03f9a4265a1312dad)) and a create seperate example ([187efac](https://github.com/nok/sklearn-porter/commit/187efac3fa045e177a1980244bef302a462fcf4e)).
- Add the feature to read the estimator from a used [Pipeline](http://scikit-learn.org/stable/modules/generated/pipeline.Pipeline.html) ([b92edff](https://github.com/nok/sklearn-porter/commit/b92edfff278a997d03f6bca65ea99d0bd02f8ba3), issue: [18](https://github.com/nok/sklearn-porter/issues/18)).
- Add a new class argument (`num_format=lambda x: str(x)`) to change the default representation of floating-point values ([7f9fac8](https://github.com/nok/sklearn-porter/commit/7f9fac8eb35371e9374b4cf73519f83dbcb66632)).
- Use estimator name as default class name (e.g. `MLPClasifier`, `KNeighborsClassifier`, `SVC`, ...) ([710a854](https://github.com/nok/sklearn-porter/commit/710a854072bf19054cc2c46eff661241ffa92d65)).
- Add new estimator:
- Go:
- `tree.DecisionTreeClassifier` ([fe59710](https://github.com/nok/sklearn-porter/commit/fe59710a72c6a4bf5fb1d0acc0a35eba3dda950e))
- JavaScript:
- `naive_bayes.BernoulliNB` ([9784d6b](https://github.com/nok/sklearn-porter/commit/9784d6b8752fbb15b57345a5a08138618e3b676e))
- PHP:
- `ensemble.RandomForestClassifier` ([faac38d](https://github.com/nok/sklearn-porter/commit/faac38d60f04c40641935b25c4b6dce33e96b4ac))
- `ensemble.ExtraTreesClassifier` ([2a29321](https://github.com/nok/sklearn-porter/commit/2a2932114e9313ae1e54b9369adcae00a4cce813))
- Ruby:
- `svm.SVC` ([3ef1646](https://github.com/nok/sklearn-porter/commit/3ef16464515e539e2c4bd6dd718e9d097e95e131))
- `svm.NuSVC` ([0a39aaf](https://github.com/nok/sklearn-porter/commit/0a39aaf9349830130f92c09a8e9af77fed5bacac))
- `tree.DecisionTreeClassifier` ([a404c4f](https://github.com/nok/sklearn-porter/commit/a404c4f383a62d98ac543c617234c0a907b8267a))
- `ensemble.RandomForestClassifier` ([3775501](https://github.com/nok/sklearn-porter/commit/3775501b77436c0b5b5132e11893d0c4add0cb7b))
- `ensemble.ExtraTreesClassifier` ([81b9914](https://github.com/nok/sklearn-porter/commit/81b99149116f00a790e0df33d60e381cafc89bf2))
- Add support to export and import model data:
- Java:
- `svm.SVC` [notebook](examples/estimator/classifier/SVC/java/basics_imported.ipynb) ([e753252](https://github.com/nok/sklearn-porter/commit/e75325255a91bb9ca00a4e34c5393c6b05a41d6f))
- `svm.NuSVC` [notebook](examples/estimator/classifier/NuSVC/java/basics_imported.ipynb) ([e753252](https://github.com/nok/sklearn-porter/commit/e75325255a91bb9ca00a4e34c5393c6b05a41d6f))
- `svm.LinearSVC` [notebook](examples/estimator/classifier/LinearSVC/java/basics_imported.ipynb) ([562ed8c](https://github.com/nok/sklearn-porter/commit/562ed8c77cc3b9e1fa3f9b5219ec842c290219e6))
- `ensemble.AdaBoostClassifier` [notebook](examples/estimator/classifier/AdaBoostClassifier/java/basics_imported.ipynb) ([79d846f](https://github.com/nok/sklearn-porter/commit/79d846f71af4a37de4655d86ab5e42d11311d5ed))
- `ensemble.RandomForestClassifier` [notebook](examples/estimator/classifier/RandomForestClassifier/java/basics_imported.ipynb) ([9979a94](https://github.com/nok/sklearn-porter/commit/9979a948f51fef527b792babe06103c2c0dd5db4))
- `ensemble.ExtraTreesClassifier` [notebook](examples/estimator/classifier/ExtraTreesClassifier/java/basics_imported.ipynb) ([9979a94](https://github.com/nok/sklearn-porter/commit/9979a948f51fef527b792babe06103c2c0dd5db4))
- `tree.DecisionTreeClassifier` [notebook](examples/estimator/classifier/DecisionTreeClassifier/java/basics_imported.ipynb) ([9979a94](https://github.com/nok/sklearn-porter/commit/9979a948f51fef527b792babe06103c2c0dd5db4))
- `neighbors.KNeighborsClassifier` [notebook](examples/estimator/classifier/KNeighborsClassifier/java/basics_imported.ipynb) ([1b81d3f](https://github.com/nok/sklearn-porter/commit/1b81d3f0e9cbe52203bbfde4cf73df17eacf4fdddiff-86bc174b477eabd59f582e0e2882dcb3R54))
- `naive_bayes.GaussianNB` [notebook](examples/estimator/classifier/GaussianNB/java/basics_imported.ipynb) ([b68c5df](https://github.com/nok/sklearn-porter/commit/b68c5df241fec0b654d919066dca0663d909bde1))
- `naive_bayes.BernoulliNB` [notebook](examples/estimator/classifier/BernoulliNB/java/basics_imported.ipynb) ([7eae57d](https://github.com/nok/sklearn-porter/commit/7eae57df5b64a11cfc520e057649d711022653cd))
- `neural_network.MLPClassifier` [notebook](examples/estimator/classifier/MLPClassifier/java/basics_imported.ipynb) ([b988f57](https://github.com/nok/sklearn-porter/commit/b988f575db10133d41b1c80773bfe814b7271900), [d8ff774](https://github.com/nok/sklearn-porter/commit/d8ff77400c20ce41e318403bb12d2d65eeb3d309))
- JavaScript:
- `ensemble.AdaBoostClassifier` [notebook](examples/estimator/classifier/AdaBoostClassifier/js/basics_imported.ipynb) ([9fdcc49](https://github.com/nok/sklearn-porter/commit/9fdcc49355617668c3bf451a8d5828880245a4ae), [dd70ac7](https://github.com/nok/sklearn-porter/commit/dd70ac7e63cecad9028e9dea32efb7e1d2e43237), [2401fba](https://github.com/nok/sklearn-porter/commit/2401fba9938880bf420de0253e489c22e7b040e4))
- `neighbors.KNeighborsClassifier` [notebook](examples/estimator/classifier/KNeighborsClassifier/js/basics_imported.ipynb) ([f915b70](https://github.com/nok/sklearn-porter/commit/f915b70568b4212e7fb8d616058a927f98b186da))
- `neural_network.MLPClassifier` [notebook](examples/estimator/classifier/MLPClassifier/js/basics_imported.ipynb) ([ce23148](https://github.com/nok/sklearn-porter/commit/ce2314893d013a1c4ac2fd9965d1d61fe324834c))
- Add new recipes:
- JavaScript:
- [MLPClassifier Web Workers](examples/recipes/use_javascript_web_workers) ([187efac](https://github.com/nok/sklearn-porter/commit/187efac3fa045e177a1980244bef302a462fcf4e))
Changed
- Use human-readable placeholders (e.g. `'{class_name}.{method_name}'`) instead of index-based placeholders (e.g. `'{0}.{1}'`) in all main templates of all estimators ([de02795](https://github.com/nok/sklearn-porter/commit/de02795f3628ccad9d5e85940d37b866e2e7443e)).
- Change the order of optional and required arguments in the `--help` text ([54d9973](https://github.com/nok/sklearn-porter/commit/54d99736f5fe144350e990621ba4d145776eecdd)).
- Change the default representation of floating-point values from `repr(x)` to `str(x)` ([7f9fac8](https://github.com/nok/sklearn-porter/commit/7f9fac8eb35371e9374b4cf73519f83dbcb66632)).
- Use the method name `integrity_score(X)` instead of `predict_test(X)` to avoid misconceptions for the integrity test ([715ec7d](https://github.com/nok/sklearn-porter/commit/715ec7dee0e2d98cb2917d48a2522683240d084a)).
- Separate the model data from the algorithm:
- `tree.DecisionTreeClassifier` ([f669aab](https://github.com/nok/sklearn-porter/commit/f669aab7e15971ea2071c5f9df096b924ae0dbcf), [bba6296](https://github.com/nok/sklearn-porter/commit/bba629602d46780467efbc0e8f74d7880131593b), [b727186](https://github.com/nok/sklearn-porter/commit/b7271867c755f3372886b07b76d763f2f2911eff), [e2740fd](https://github.com/nok/sklearn-porter/commit/e2740fd07f43c02f3514b3834a765d43c640efaa), [5c9da8a](https://github.com/nok/sklearn-porter/commit/5c9da8a58ec2143398444bd3afcc16806dfdc86b))
- `neighbors.KNeighborsClassifier` ([59a0e91](https://github.com/nok/sklearn-porter/commit/59a0e9114daeeb7d81a975c3adfa0ad27be3a426), [1ac5d8a](https://github.com/nok/sklearn-porter/commit/29412ab55d8ebcdb7914974121c03d64660e5f94))
- `neural_network.MLPClassifier` ([635da46](https://github.com/nok/sklearn-porter/commit/635da46dbf29a80d51a16f3bbc28a5ba87eacdd7), [7d31668](https://github.com/nok/sklearn-porter/commit/7d3166894229f70aafe6a6c9e2e7dbd091589c15), [78296e2](https://github.com/nok/sklearn-porter/commit/78296e2d893d882240ebb8f54ada07d28ab9fc49), [4cdcfde](https://github.com/nok/sklearn-porter/commit/4cdcfde6a34e131b8ab7088af880eb081fd8f3dd), [7820508](https://github.com/nok/sklearn-porter/commit/7820508aad7f1ccf39529023c22b3427471bde68), [7820508](https://github.com/nok/sklearn-porter/commit/7820508aad7f1ccf39529023c22b3427471bde68))
- `neural_network.MLPRegressor` ([60d9d42](https://github.com/nok/sklearn-porter/commit/60d9d42a0fd7860097f37dd3be5808b8be136cda), [e4a8169](https://github.com/nok/sklearn-porter/commit/e4a8169d8cd1a5ecbb0821e792fcbfd932364fd5))
- `naive_bayes.GaussianNB` ([1ac5d8a](https://github.com/nok/sklearn-porter/commit/1ac5d8a3e5137e7d308c8c0f6529ae4c70a54abe))
- `naive_bayes.BernoulliNB` ([ff82bb8](https://github.com/nok/sklearn-porter/commit/ff82bb880ce4ae95af0f95e90bc3e681e4f261b8), [3c57a06](https://github.com/nok/sklearn-porter/commit/3c57a06a733cdd8e9a74cb41c4087064161ad0d5))
- `svm.SVC` and `svm.NuSVC` ([4745d8b](https://github.com/nok/sklearn-porter/commit/4745d8b0dd09addf7b6e6affba8954b4d7da6ecb), [5f77e4d](https://github.com/nok/sklearn-porter/commit/5f77e4dba1ce4f84478ada2652227922471a4d9f), [59831da](https://github.com/nok/sklearn-porter/commit/59831dab24d4f6f43daec61ae277139ed1bf921c), [cd8f52e](https://github.com/nok/sklearn-porter/commit/cd8f52e33cad7c1e909b858333a9132e4b03a4a7), [c483d25](https://github.com/nok/sklearn-porter/commit/c483d259dc4fb1b8beada4ef9c7c11f4b1d5aff6))
- `svm.LinearSVC` ([bb617c7](https://github.com/nok/sklearn-porter/commit/bb617c741ea80dde8da97121ec253fd3ee8f4810))
Removed
- Hide the command-line argument `--language` and `-l` for the choice of the target programming language ([fc14a3b](https://github.com/nok/sklearn-porter/commit/fc14a3b55d6319d3940c9c11d168b015b972f96d)).
Fixed
- Fix inaccuracies in `neural_network.MLPRegressor` and `neural_network.MLPClassifier` occurred by the transpiled tanh and identity activation functions ([6696410](https://github.com/nok/sklearn-porter/commit/66964103083d04eedbd51cd83487808d43073350)).
- Fix installation problems with pip and Python 3 ([2935828](https://github.com/nok/sklearn-porter/commit/2935828735fb1a8141c32f5f772172c12877c42d), issue: [17](https://github.com/nok/sklearn-porter/issues/17))
- Fix dynamic class name in the `MLPClassifier` template ([b988f57](https://github.com/nok/sklearn-porter/commit/b988f575db10133d41b1c80773bfe814b7271900diff-9eeccb9a3d9e520cb41df490846b7c88L22))