scikit-learn

scikit-learn

Custom cross-validation for Ridge in sklearn

About Sklearn double cross validation with wrapper feature_selection

NameError: name 'pairwise_distances_argmin' is not defined

sklearn GLM for negative values

Cannot import name 'plot_precision_recall_curve' from 'sklearn.metrics'

scikit-learn cross_validate: reveal test set indices

Does it make sense to use scikit-learn cross_val_predict() to (i)make predictions with unseen data in k-fold cross-validation and (ii)compare models?

Saliency Map for Logistic Regression or MLP Classifier

sklearn.metrics r2_score negative

What are the steps within `make_pipeline()`?

Convergence warning: how to do action after it?

TypeError: predict() got an unexpected keyword argument 'return_mean_grad'

Data Cleaning Error in Classification KNN Alrogithm Problem

Sklearn random forest - perform_grid_search gives back error: one or more test scores are non-finite

compute test metric on all folds of gridsearch

Normalizing multivariate time-series data with different sequence length

ModuleNotFoundError: No module named 'sklearn.utils._bunch'

Why accuracy train not constant in MLPClassifier

Predicting new description with existing logistic regression classification model

ModelAssetPathNotFoundInStorage error when mlflow.sklearn.autolog() used to train within an Azure ML YAML Pipeline

How to set the maxfun limit of the lbfgs solver on scikit-learn LogisticRegression model?

wha'ts is the cause of an error in the below

Is there a reason why scikit-learn's classification report doesn't show you the number of predictions?

should I use basinhopping instead of minimize to find colors based on a small set of transforms?

Why is the ROC_AUC from cross_val_score so much higher than manually using a StratfiedKFold with metrics.roc_auc_score for an XGB classifier?

Different clustering results on Azure databricks (cloud) vs Jupyter Notebook (local) with same seed

How do the splits in a decision tree classifier work?

Sklearn Pipeline: One feature automatically missed out

`sklearn.manifold.LocallyLinearEmbedding` with custom neighbors search

i get value error in model.fit(x_train,y_train) why? and what is the solution please?

Pipeline with XGBoost - Imputer and Scaler prevent Model from learning

How to do training and testing for decision tree classifier

Why are some values in Sklearn K-Nearest Neighbors affinity matrix for spectral clustering equal to 0.5?

Difference between optuna (optuna.samplers.RandomSampler) and sklearn (RandomizedSearchCV)

Can't set scoring parameter to 'neg_mean_squared_error' in cross_val_score

TfidfVectorizer it does not eliminate words that occur more than once

dtype='numeric' is not compatible with arrays of bytes/strings.Convert your data to numeric values explicitly instead

Why not look at the precision and recall of both classes combined in a classification report?

Applying GridSearch on Catboost Regressor with Categorical Variables

Unknown label type error in sklearn logloss

Improving my clustering for my dataset and changing my clusters to better reflect my data

Identifying the contents of training and testing dataset after using train_test_split()

Confusion regarding joblib.dump()

Can't get LogisticRegressionCV to converge for any other Cs then 1

clustering for a single timeseries

Custom tokenizer not working in countvectorizer sklearn

Why RFECV visualizer from yellowbrick finds number of optimal features more than number of features in train set?

sklearn HistGradientBoostingClassifier with large unbalanced data

how do you get the frequency of the terms generated by tfidf.get_feature_names_out()

countVectorizer error Found input variables with inconsistent numbers of samples when using in sklearn pipeline

Sklearn's TfidfTransformer(use_idf=False, norm=None) returns the same output as CountVectorizer()

Distance between each point and the linear regression solution

Is there a method in sklearn.ensemble.RandomForestClassifier to treat one hot encoded nominal data as one feature?

Change depth of random forest ex-post?

Missing _bz when using fetch_openml // Missing _lzma when importing torchvision

What is the architecture of a scikit-learn MLPRegressor?

Multiclass classification with text and numerical data

Utilizing Scikit-learn with Python3.11 path in Julia

Do Polars dataframes need to be formatted a certain way to be used with scikit-learn models?

sklearn dcg_score not working as expected

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