Bappa Das

Changing the font size of 'correlation' and 'observed' in multipanel Taylor plot using openair package in R

5

I have created a multipanel Taylor plot using 'openair' package. I want to change the font size of 'correlation' and 'observed' and make it sentence case. At this time it...

I want to perform multi-output regression where dependent variable is more than 1. I think `parsnip` allows only one output. In Python, `sklearn` supports [multi-output regression](https://scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html). In R, I could...

I have used the following code in Python 3.6 but nothing is running #download an example dataset from from sklearn import datasets data = datasets.load_iris() iris = pd.DataFrame(data.data, columns=data.feature_names) #...

Adding compass and scale_bar only once in `tm_facets`

1

I want to add compass and scale_bar only once while using `tm_facets`. Here is an example code ``` library(tmap) library(stars) library(terra) #Read some data tif = system.file("tif/L7_ETMs.tif", package = "stars")...

Fails to run `superClass` when one of the raster layer is factor

1

I am trying to run `superClass` with a raster stack having both numeric and categorical layers. But it returns me the following error: >Error: variable 'Class' was fitted with type...

Barplot in palce of point pdp plot for categorical variables using autoplot function

1

I think it is better to use barplot in palce of point pdp plot for categorical variables using autoplot function as suggested [here](https://christophm.github.io/interpretable-ml-book/pdp.html). I am rpoviding a minimal reproduicible example...

I am trying to use `ggplot` functions with the `plot` function of `iml` package. But the additional aurgments are applied to only the last plot. Here is an example ```...

xgboost model warning : `ntree_limit` is deprecated, use `iteration_range` instead

6

Running `xgboost` model using `caret` package gives following warning >WARNING: amalgamation/../src/c_api/c_api.cc:718: `ntree_limit` is deprecated, use `iteration_range` instead. ### Minimal, reproducible example: ``` library(caret) #eXtreme Gradient Boosting set.seed(123) modelFit sessionInfo() R...

I was trying to use deepboost for prostate cancer dataset. The dataset can be downloaded from https://www.kaggle.com/multi8ball/prostate-cancer. When I am using ```predict(fit.dpb, dataTest, type = "response")```, it is returning me...