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Results tagged with r
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user 13023
R is a free, open-source programming language and software environment for statistical computing, bioinformatics, and graphics.
4
votes
Accepted
Is there any implementation of Extended Isolation Forest algorithm in R/Python?
There is a package on Github called "Extended Isolation Forest for Anomaly Detection", I used it a couple months ago and it seemed to work. For how accurate or how buggy it is, I'm not sure but if any …
- 3,460
2
votes
Accepted
Financial Time Series data normalization
Z-score normalization, as you have already guessed, cannot deal well with non-stationary time series since the mean and standard deviation of the time series vary over time.
Min-max and another commo …
- 3,460
2
votes
1
answer
2k
views
Generating Polynomial Features in R
Is there an optimized way to perform this function "PolynomialFeatures" in R? … want to import data from a Python script using sklearn's PolynomialFeatures function into R. …
- 3,460
0
votes
Accepted
Sparse matrix in R based on the data frame
Your data looks like this at the moment:
data <- data.frame(User_Id = c(276725, 276726, 276725, 276726, 276725),
ISBN = c("A", "B", "C", "A", "B"),
Book_Rating = …
- 3,460
2
votes
1
answer
4k
views
Boruta feature selection in R with custom importance (xgboost feature importance)
According to the documentation - CRAN
Boruta is an all relevant feature selection wrapper algorithm, capable of working with any classification method that output variable importance measure (VIM) …
- 331
42
votes
Accepted
Hypertuning XGBoost parameters
Whenever I work with xgboost I often make my own homebrew parameter search but you can do it with the caret package as well like KrisP just mentioned.
Caret
See this answer on Cross Validated for …
- 3,460
3
votes
Accepted
Dummy coding a column in R with multiple levels
Feature Hashing
Here is a great explanation of feature hashing in R (among other techniques) which is also an alternative, specially useful when you have hundreds of thousands or millions of multiple …
- 3,460
10
votes
2
answers
619
views
Software Testing for Data Science in R
However, now that I've found myself using R more than python for ML modelling and development. … I realized that I don't really test my R code (And more importantly I really don't know how to do it well). …
- 146
3
votes
Accepted
Code Vectorization of gsub in R
You have plenty of alternatives for this problem
Using sapply
data$abstract <- sapply(data$abstract,
function(x){gsub(pattern = "no abstract available",
…
- 3,460