Comment by khan on Categorical Predictors in multiple regression
Yes sir, that's true. Yes, I can employ the multinomial logit for such data. But my question is, theoretically speaking, the y values are all continuous and independent from x. If I feed such a data to...
View ArticleComment by khan on Multi-class classification via all pairwise...
You meant to say that in the case of 4 classes, we have 6 classifiers and each classifier has 2 probabilities (since each classifier is a binary classifier). Once we have the results of these...
View ArticleComment by khan on Multi-class classification via all pairwise...
This is a really very good and intuitive approach. I agree, there are multiple of such cases in which this approach is validated. Many thanks.
View ArticleCategorical Predictors in multiple regression
Simple question: I have a dataset, in which all the multivariate x variables (x0, x1, x2, x3..) are continuous, and all the y variables are categorical (distributed (equally) between 1-20 categories)....
View ArticleBatch Gradient Descent - Parallelization
Here is the scenario that I have been thinking for sometime:You have a large dataset over which you want to run a regression analysis, using the classic gradient descent method to minimize the error...
View ArticleAnswer by khan for Clustering 1D data
Another simple way is to basically use sorting of the 1D array: i.e. iterate over each point and get the values which are at a minimum distance from it in both the positive and the negative directions....
View ArticleConvert Discrete Histogram to Continuous Function
Suppose, I have a histogram (or a "discrete" frequency counter):X = {0.1: 3, 0.2: 5, 0.41: 1, 0.45: 5, 0.5: 3, 0.7: 9}What is the best possible way to convert it to a continuous function, so that, one...
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