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Why this JavaScript includes() feature make sense?


Why this JavaScript includes() feature make sense?

By : clihlt
Date : November 20 2020, 03:01 PM
this will help Using equality NaN === NaN and using includes [NaN].includes(NaN) are basically asking two different questions:
Equality - are this things that have the same name are actually equal?
code :


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When would JavaScript == make more sense than ===?

When would JavaScript == make more sense than ===?


By : CNatka Tician
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further As Which equals operator (== vs ===) should be used in JavaScript comparisons? indicates they are basically identical except '===' also ensures type equality and hence '==' might perform type conversion. In Douglas Crockford's JavaScript: The Good Parts, it is advised to always avoid '=='. However, I'm wondering what the original thought of designing two set of equality operators was. , Consider a situation when you compare numbers or strings:
code :
if (4 === 4)
{
  // true
}
if (4 == "4")
{
  // true
}
if (4 === "4")
{
  // false
}
Is that make sense to construct a learning Model using only one feature?

Is that make sense to construct a learning Model using only one feature?


By : Griffsticles
Date : March 29 2020, 07:55 AM
seems to work fine You can build a model on one feature. I assume, that by "one feature" you mean simply one number in R (otherwise, it would be completely "traditional" usage). However this means, that you are building a classifier in one-dimensional space, and as such - many classifiers will be redundant (as it is really a simple problem). What is more important - checking whether you can correctly classify objects using one particular dimensions does not mean that it is a good/bad feature once you use combination of them. In particular it may be the case that:
Many features may "discover" the same phenomena in data, and so - each of them separatly can yield good results, but once combined - they won't be any better then each of them (as they simply capture same information) Features may be useless until used in combination. Some phenomena can be described only in multi-dimensional space, and if you are analyzing only one-dimensional data - you won't ever discover their true value, as a simple example consider four points (0,0),(0,1),(1,0),(1,1) such that (0,0),(1,1) are elements of one class, and rest of another. If you look separatly on each dimension - then the best possible accuracy is 0.5 (as you always have points of two different classes in exactly same points - 0 and 1). Once combined - you can easily separate them, as it is a xor problem.
Does it make sense to use both countvectorizer and tfidfvectorizer as feature vectors for text clustering with KMeans?

Does it make sense to use both countvectorizer and tfidfvectorizer as feature vectors for text clustering with KMeans?


By : Samuel
Date : March 29 2020, 07:55 AM
Any of those help Essentially what you are doing is finding a numeric representation of your text documents (feature engineering). In some problems the counts work better and in some others the tfidf representation is the best choice. You should really try them both. While the two representations are very similar and therefore carry approximately the same information, it could be the case that you will get better precision by using the full set of features(tfidf+counts). It is possible that you can get closer to the true model by searching in this feature space.
This is how you can horizontally stack your features:
code :
import scipy.sparse

X = scipy.sparse.hstack([vectorized, count_vectorized])
model.fit(X, y)  # y is optional in some models
Does it make sense to use / create / develop "star rating" feature for public / guests / not-logged users?

Does it make sense to use / create / develop "star rating" feature for public / guests / not-logged users?


By : jacob
Date : March 29 2020, 07:55 AM
wish helps you If you making rating for products/services - then the answer: definitely NO!
You will get the hell, where unfair owners can increase their own rating, where competitors can decrease rating of other products, etc.
What is the sense of "Feature Oriented Programming" (FOP) in C++, and would it make sense in Java and C#?

What is the sense of "Feature Oriented Programming" (FOP) in C++, and would it make sense in Java and C#?


By : user3776656
Date : March 29 2020, 07:55 AM
Any of those help So, the place I see that pattern most in c++ is the behavior of mixins (link), which I guess is an implementation of FOP. The article I've linked goes into an example of Aspect Oriented Programming to try to make a similar effect in java.
I doubt you'll see features like templates (which are essential to the mixin approach) in other languages, though they could develop better patterns for AOP. Personally, I think the easiest method I've seen for this is languages like python and ruby, which allow manipulation of the interface, but it's a runtime mechanism to c++'s compile time metaprogramming facilities, so it is like comparing apples and oranges.
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