diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml new file mode 100644 index 0000000..d365a89 --- /dev/null +++ b/.github/FUNDING.yml @@ -0,0 +1,14 @@ +# These are supported funding model platforms + +github: [molcik] +# patreon: # Replace with a single Patreon username +# open_collective: # Replace with a single Open Collective username +# ko_fi: # Replace with a single Ko-fi username +# tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel +# community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry +# liberapay: # Replace with a single Liberapay username +# issuehunt: # Replace with a single IssueHunt username +# lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry +# polar: # Replace with a single Polar username +buy_me_a_coffee: p9idjxx +# custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2'] diff --git a/README.md b/README.md index 91656e9..02cdc6b 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # Neuron class -Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm. This class is suitable for prediction on time series. +Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm. # Dependencies Neuron class needs [pandas](https://github.com/pydata/pandas) and [numpy](https://github.com/numpy/numpy) to work propertly. @@ -51,3 +51,8 @@ neuron = MLPLMWL() prediction = 1 yn = neuron.count(Y, X, learningWindow = 50, overLearn = 10, prediction = prediction) ``` + +# Support me +If you find this useful, consider supporting independent open-source development and buy me a coffee. + +[![buy me a coffee](https://filipmolcik.com/wp-content/uploads/2020/07/BUY-ME-A-COFFEE.png)](https://www.buymeacoffee.com/p9IDjxX)