SVM working well on test subset fails on whole dataset

I trained a SVM iterativly on large chunks of data using sklearn. Each csv file is a part of an image. I made those with a sliding window aproach. I used partial_fit() for fitting the SVM as well as …

Training on multiple data sets with scikit.mlpregressor

I’m currently training my first neural network on a larger dataset. I have splitted my training data to several .npy binary files, that each contain batches of 20k training samples. I’m loading the …

im trying to learn scikit but stucked at the code which is about encoders require their input to be be uniformly string or number

I have been learning python form youtube videos. im new to python just a beginner. I saw this code on video so i tried it but getting the error which i dont known how to solve. This is the following …

how to convert generated data into pandas dataframe

from sklearn.datasets import make_classification df = make_classification(n_samples=10000, n_features=9, n_classes=1, random_state = 18, class_sep=2, …

Why Python’s scikit-learn K-Means text clustering algorithm always provides different retult

I have a list of documents and this class to perform actions on that list. So, basically, morphed_documents is a list of strings. And at the end, the algorithm returns the cluster for each document. …

Pytest: How to locate a FutureWarning and fix it?

In my current project when I run my tests (with pytest) I get this output (besides others): ml_framework/tests/test_impute.py: 8 warnings ml_framework/tests/test_transform_pipeline.py: 9 warnings …

Cannot get L1 ratio in LogisticRegressionCV object

I am trying to fit an elastic net model using LogisticRegressionCV. I want to see what L1 ratio LogisticRegressionCV chooses after cross validation. I read from its documentation that after fitting we …

AttributeError: format not found – pyodide + joblib.dump + scikit-learn (TfidfVectorizer)

I have pickled a SMS spam prediction model using pickle. Now, I want to use Pyodide to load the model in the browser. I have loaded the pickled file using pickle.loads in the browser: console.log(&…

K-Fold cross validation for Lasso and Ridge models

I’m working with the Boston housing dataset from sklearn.datasets and have run ridge and lasso regressions on my data (post train/test split). I’m now trying to perform k-fold cross validation to find …

How to change plot legends with roc_auc_score?

I’m plotting ROC curve with plot_roc_curve of scikit-learn, that plot legends are printed automatically. Is there a way to change them? metrics.plot_roc_curve(classifier, X_test, y_test, ax=plt.gca())