weight

Example SHAInet model to perform linear regression using Height/Weight.

Below is a Keras equivalent model:

import pandas as pd
from keras.models import Sequential 
from keras.layers import Dense
from keras.optimizers import SGD

df = pd.read_csv('./data/weight-height.csv')

X = df[['Height']].values
Y = df['Weight'].values

model = Sequential()
model.add(Dense(1, input_shape=(1,)))
model.compile(SGD(lr=0.01), 'mean_squared_error')
model.fit(X, Y, epochs=40)
model.predict([75])

Installation

Requires Crystal 0.24.2

Usage

crystal src/weight.cr

Development

Experimenting with different models. Currently Adam is failing with NaN errors. SGDM seems to provide fairly accurate results.

Contributing

  1. Fork it ( https://github.com/drujensen/weight/fork )
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

Contributors