I've got some coefficients for a logit model set by a non-r user. I'd like to import those coefficients into r and generate some goodness of fit estimates on the same dataset (ROC and confusion mat...

I have some data with predictors and a binary target. Eg: df <- data.frame(a=sort(sample(1:100,30)), b= sort(sample(1:100,30)), target=c(rep(0,11),rep(1,4),rep(0,4),rep(1,11))) I trained a ...

How can I train an XGBoost model on a GPU but run predictions on CPU without allocating any GPU RAM? My situation: I create an XGBoot model (tree_method='gpu_hist') in Python with predictor='cpu_pr...

How can I obtain the AUC value having fpr and tpr? Fpr and tpr are just 2 floats obtained from these formulas: my_fpr = fp / (fp + tn) my_tpr = tp / (tp + fn) my_roc_auc = auc(my_fpr, my_tpr) I ...

I'm trying to run an xgboost regressor model on a dataset without any missing data. # Run GBM on training dataset # Create xgboost object pts_xgb = xgb.XGBRegressor(objective="reg:squarederror...

I have some repeated measures, ordinal response data: dat <- data.frame( id = factor(sample(letters[1:5], 50, replace = T)), response = factor(sample(1:7, 50, replace = T), ordered = T), x1 ...

I have trained a model to predict topic categories using word2vec and an lstm model using keras and got about 98% accuracy during training, I saved the model then loaded it into another file for tr...

After performing a principal component analysis of a first data set (a), I projected a second data set (b) into PCA space of the first data set. From this, I want to extract the variable loadings ...

I used functions ggpredict() and ggemmeans() from package ggeffects 1.3.0 to calculate mean estimates and confidence intervals (hereafter: CI) for a mixed-effect model. These functions rely on pred...

In addition to predicting the class labels, is it possible to return the expectation of each observation in new data when predicting? library(caret) knnFit <- train(Species ~ ., data = iris, me...

I have trained and saved my H2O AutoML model. after reloading, while I am using predict method, I am getting below error: java.lang.IllegalArgumentException: Test/Validation dataset has a non-categ...

Let's begin with the premise that I'm newly approaching to TensorFlow and deep learning in general. I have TF 2.0 Keras-style model trained using tf.Model.train(), two available GPUs and I'm looki...

I'm very new to tensorflow and especially the 2.0 since there's not enough examples about that API but it seems much handy than the 1.x So far I managed to train a linear model using the tf.estimat...

I am confused with the way predict.glm function in R works. According to the help, The "terms" option returns a matrix giving the fitted values of each term in the model formula on the linear p...

I am working with physical activity data and follow-up pain data. I have a large dataset but for the shake of this example I have created a small one with the variables of my interest. As my physic...

i'm trying to run a very simple example where XGBoost takes some data and do a binary classification. The documentation says that xgboost outputs the probabilities when "binary:logistic" is used ...

Let's consider model : library(plm) data("Produc", package = "plm") model <- plm(pcap ~ hwy + water, data = Produc, model = 'within') To calculate fitted value of the model ...

I’m working with FastAPI for Model inference in Machine Learning, so I need to have as inputs an array of JSON like this: [ { "Id":"value", "feature1":"value&q...

I am currently building an API using FastAPI to deploy my logistic regression model. For some reason, I am getting the above error in the server docs when I test the model. My code below: app = Fas...

I'm following this tutorial to make this ML prediction: import numpy as np import matplotlib.pyplot as plt from matplotlib import style style.use("ggplot") from sklearn import svm x = [1, 5, 1.5...

I use R only a little bit and never use data frames, which makes understanding the correct use of predict difficult. I have my data in plain matrices, not data frames, call them a and b, which are ...

I found that the predict function is currently not implemented in cumulative link mixed models fitted using the clmm function in ordinal R package. While predict is implemented for clmm2 in the sam...

Do the names/order of the columns of my X_test dataframe have to be the same as the X_train I use for fitting? Below is an example I am training my model with: model.fit(X_train,y) where X_train=d...

I have a trained model that takes in a somewhat large input. I generally do this as a numpy array of the shape (1,473,473,3). When I put that to JSON I end up getting about a 9.2MB file. Even if I ...

I have a gamlss model that I'd like to use to make new y predictions (and confidence intervals) from in order to visualize how well the model fits the real data. I'd like to make predictions from a...