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| def model(X): | |
| ŷ = processing(X) | |
| return ŷ | |
| def doML(X,y): | |
| while(!ModeIsGood): | |
| predicted = model(X) | |
| error = minimize(predicted - y) | |
| if( almostEquals(predicted , y) ): | |
| ModeIsGood = true | |
| break | |
| else: | |
| minimize(error) |
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