I am modelling the probability of species presence based on environmental variables. My dataset contains both real presence data and pseudo-absence (randomly generated absence) data. My environmental ...

I found related questions here ( 1 (where I made a reference to this question), 2, 3 ) but I can't figure out how I can really solve this problem within lme4. Because of an early error cholmod-factor ...

I am following the Maturity Schedules fishR Vignette by Dr Derek Ogle (https://derekogle.com/fishR/examples/oldFishRVignettes/Maturity.pdf) to generate stock assessments. Following the code and ...

I've got a bit of a headscratcher from what I thought was going to be a routine fit. The logistic regression model I fit through the glm function instead gives a linear model when I use the predict ...

I have a csv. with my data and I put it through a RF to predict sediment type based off of bathymetry data from 24 sample points (and get sediment distribution as an image output), the RF is working ...

When we use lightning in multigpu setting with strategy ddp, predictions = trainer.predict(model, dataloaders=predict_dataloader) the predictions are from a single gpu. From Combining loss, ...

I am trying to apply a model obtained from the cosinor::cosinor.lm() function to predict values of a dummy dataset by using the predict() function. However, when I run the predict() function, I ...

I am using the REEMtree package in R to build a tree with random effects, but when I attempt to make predictions on the test data, I encounter the following error: Error in predict.REEMtree(...

Disclaimer: I am new to R and survival analyses so apologies if I don't use the right terms or coding etiquette-figuring it out. In the carcass package, I've used function persistence.prob to develop ...

I am trying to run svm (from e1071 package) on a document-feature matrix produced by the package quanteda. I start by training the svm on training data: svm_fit <- svm(x=dfm_train, y=as.factor(...

I've been trying to deploy a very simple toy Keras model to Cloud Functions, which would predict the class of an image, but for reasons unknown, when the execution gets to the predict method, it gets ...

I'm creating a backpropagation neural network in R using neural net The data I use are montly u and v wind, sea surface, relative humidity data from era5 in netcdf (.nc) format to predict monthly ...

Does anyone know why the predict(X) methods of scikit-learn classifiers and regressors expect input X to be a 2D array (matrix) rather than a 1D array (vector)? I'm just curious about the history of ...

I am attempting to estimate the difference in predicted probabilities between groups using the avg_predictions() function and the hypothesis argument from the powerful marginaleffects package. However,...

trying to use predict function to find ValueScore (vs in my chart) using different independent variables and a regression. encountered an error I cannot get passed. sales <- read.csv("...