Rémi Adon

[DEMO] Convert demos into jupyter notebooks

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For now there are a few examples of how to use skmultiflow. This examples are stored in .py files in a dedicated folder : `src/skmultiflow/demos` This could be improved by...

[WIP] Streamz as input

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Changes proposed in this pull request: * Creation of interfaces between `skmultiflow.data` and `streamz.Source` to make skmultiflow data generators as inputs to streamz.Stream(s) * [TODO] add methods for triggering partial_fit/predict...

[WIP] Coreset for Kmeans and GaussianMixture clustering

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Introduce a Coreset Meta Estimator, that samples a subset of the original data (keeping the original geometrical shape) and pass this sample to a scikit-learn estimator [original paper](https://www.researchgate.net/profile/Andreas-Krause-11/publication/314092618_Scalable_and_Distributed_Clustering_via_Lightweight_Coresets/links/59e5dae4a6fdcc1b1d96f4bb/Scalable-and-Distributed-Clustering-via-Lightweight-Coresets.pdf) TODO -...

List all estimators

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TODO : - remove FutureWarnings - test coverage dropped down, fix this

check_estimator outside of unittests

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Hi there, Thanks for this awesome template :+1: For the moment calls to ``check_estimator`` are made insides unittest (see [test_common.py](https://github.com/scikit-learn-contrib/project-template/blob/master/skltemplate/tests/test_common.py)) For my project I find it can be useful to...

Inclusion in scikit-mine

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Hi there, very nice and rich implementation of these 3 algorithms The INRIA center at Rennes is creating a new python library, namely [scikit-mine](https://github.com/scikit-mine/scikit-mine), to centralise pattern mining methods, and...

MDLP Discretizer v2

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#### Describe the workflow you want to enable ```python >>> from skmine.preprocessing import MDLPDiscretizer >>> from sklearn.datasets import load_iris >>> iris = load_iris() >>> X, y = iris.data, iris.target >>>...

Here is a bench with 200Vs1000 points, with a `l_max` in (10, 100, 200) We can see the runtime is pretty independent from l_max ## bench with 1k points ...

#### Describe the workflow you want to enable Implementation of "Krimp Minimisation for Missing Data Estimation" [paper here](http://www.cs.uu.nl/groups/ADA/pubs/2008/krimp_minimisation_for_missing_data_estimation-vreeken,siebes.pdf) #### Describe your proposed solution a `KPTransfomer` implementing imputation on tabular data...

skmine.metrics

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#### Describe the workflow you want to enable scikit-learn provides a `sklearn.metrics` module which help to "quantify the quality of predictions" In our framework we might want to quantify the...