Install¶
ML-Ensemble is available through PyPI:
pip install -U mlens
Bleeding edge¶
For the bleeding edge version install via Github. You can optionally checkout pending pull requests before running the install command.
git clone https://github.com/flennerhag/mlens.git; cd mlens;
python install setup.py
Dependencies¶
To install mlens the following dependencies are required:
| Package | Version | Module |
|---|---|---|
| scipy | >= 0.17 | All |
| numpy | >= 1.11 | All |
Additionally, to use the visualization module, the following
libraries are necessary:
| Package | Version |
|---|---|
| matplotlib | >= 1.5 |
| seaborn | >= 0.7 |
If you want to run examples, you also need:
| Package | Version |
|---|---|
| Scikit-learn | >= 0.17 |
Test build¶
To test the installation, run:
cd mlens;
python check_build.py
Note that this requires the Nose unit testing suite: if not found, the test
script will automatically try to install it using
pip install nose-exclude. The expected output should look like:
>>> python check_build.py
Setting up tests... Ready.
Checking build... Build ok.
If the build fails, a log file will be created named check_build_log.txt
that contains the traceback for the failed test for debugging.