MLAlgorithms
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rushter
Minimal and clean examples of machine learning algorithms implementations
do you have examples for Factorization machines like How to run examples without installation cd MLAlgorithms python -m examples.linear_models
it is really great code , only how to run it MLAlgorithms/mla/fm.py may you add example , as you did for other models?
When I run `nnet_convnet_mnist.py` in the IDE , it throw the error.   Thank you @rushter
In https://github.com/rushter/MLAlgorithms/blob/master/mla/pca.py#L48, the variance ratio of a component is calculated as the square of its eigenvalue divided by the sum of all squared eigenvalues. But according to https://stats.stackexchange.com/questions/31908/what-is-percentage-of-variance-in-pca, the proportion...
I notice you use a 3rd party module to evaluate the gradient of your cost function in your GD routine. What was the reasoning behind this and why not implement...
I cloned the repo and tried running the example in README.md without explicit installation; ``` python -m examples.linear_models ``` I get the following result (using Mac/Anaconda/Python 2.7x): ``` /anaconda/bin/python: Import...
Fix issue https://github.com/rushter/MLAlgorithms/issues/89 by change dependency
Hi, In **MLAlgorithms**, inappropriate dependency versioning constraints can cause risks. Below are the dependencies and version constraints that the project is using ``` tqdm matplotlib>=1.5.1 numpy>=1.11.1 scikit-learn>=0.18 scipy>=0.18.0 seaborn>=0.7.1 autograd>=1.1.7...