Questions: - what is the measurement precision?
- do you need calibration? How do you do it in production?
- what it is the root problem you are trying to solve?
- what is your hypothesis about your solution- quantitatively?
15 karma · joined August 31, 2017
Questions: - what is the measurement precision?
- do you need calibration? How do you do it in production?
- what it is the root problem you are trying to solve?
- what is your hypothesis about your solution- quantitatively?
That's just it - exploration vs exploitation trade-off. Don't believe this can be dusted off.
The training phase can be considerably long. Have you thought of some kind of an async wrapper that Smart Fruit might provide or will the user be expected to code it up?
This is more of a user experience comment - when the interface is designed to feel as if one is interacting with a DB / ORM the user may come to assume that the outcomes will be deterministic... While the returned results will remain deterministic given the training data, model and hyper-parameters remain the same - it won't feel as deterministic when either of these is updated... I am not sure if I communicated my concern clearly. I am trying to understand who the intended end-user is, of this package...
For a binary classification task, one could simply calculate mean squared error between predicted values and actual labels (as in linear regression) and then proceed to find the optimal weights iteratively using gradient descent. But the sigmoid shape of the logistic function makes gradient descent a poor choice of an optimization technique (w.r.t. lack of guarantee of finding a global optimum).
A surer way to find globally optimal weights is using the Newton's method of calculating weight updates. This is a numerical optimization technique that requires one to calculate the 1st and 2nd order derivatives of the error function. The matrix that 'calculates' the 1st order derivative is called a Jacobian and the one that calculates the 2nd order derivative is called a Hessian...
Few would care. Your examiner doesn't give you extra marks on a given problem for finishing your homework quickly.
Trivia question: How many round-trips from Neptune would it take to cause a 1% dip in Earth's air content?
Bonus question: Since the Earth is not making any more Xenon, are we losing some of this resource to the deep space every time we nudge a satellite?