weight
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
- Fork it ( https://github.com/drujensen/weight/fork )
- Create your feature branch (git checkout -b my-new-feature)
- Commit your changes (git commit -am 'Add some feature')
- Push to the branch (git push origin my-new-feature)
- Create a new Pull Request
Contributors
- drujensen Dru Jensen - creator, maintainer
Repository
weight
Owner
Statistic
- 2
- 1
- 0
- 0
- 0
- almost 3 years ago
- May 7, 2018
License
MIT License
Links
Synced at
Thu, 07 Nov 2024 19:26:25 GMT
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