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Results tagged with machine-learning
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user 92399
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
1
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What does the constraint on the signed support vectors in SVMs signify?
So, I have gone through the topic again. The answer is that there would be atleast 3 support vectors with at least one belonging to the two classes (in a binary setting, for example) - two for fixing …
- 580
2
votes
1
answer
65
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What does the constraint on the signed support vectors in SVMs signify?
What does the constraint $\sum_i \alpha_i y_i = 0$ on the support vectors signify? Does it mean a data set cannot have only one support vector? Can all the support vectors of a data set after classifi …
- 580
17
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2
answers
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What exactly is tol (tolerance) used as stopping criteria in sklearn models?
What exactly is the tol (tolerance for stopping criteria) in scikit-learn? What is that quantity which is checked with tol to end the training?
- 580
4
votes
2
answers
16k
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Is Regression objective in XGBoost invariant to feature attributes' scaling?
I am relatively new to using XGBoost. Classification problems clearly don't get affected by the feature scaling as the new splits would take care of that. But when doing regression in XGBoost, aren't …
- 580
8
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2
answers
16k
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Auto-regression versus linear regression of x(t)-with-t for modelling time series
What difference precisely does autoregression (for AR(p), p=1,2,...) have when compared to linear regression of that time series random variable w.r.t time axis? Explanation with diagrams clarifying t …
- 580