Python Programming Language

When trying to create 4 clusters of random data, I am getting the following error message: # Genera… Read more No Module Named 'sklearn.datasets.samples_generator'

I've trying to develop a very simple initial model to predict the amount of fines a nursing hom… Read more Creating A Custom Estimator: State Mean Estimator

I'm trying to find the best model Neural Network model applied for the classification of breast… Read more Gridsearchcv.best_score_ Meaning When Scoring Set To 'accuracy' And Cv

I use sklearn to transform data with this code. sc = MinMaxScaler() test= df['outcome'] y … Read more Sklearn Transform Error: Expected 2d Array, Got 1d Array Instead

import numpy as np data = np.array([[0, 0, 1, 1, 2, 2], [1, 0, 0, 1, 2, 2], … Read more Elements Arrangement In A Numpy Array

I've tried creating an ML model to make some predictions, but I keep running into a stumbling b… Read more Ml Model Is Failing To Impute Values

I declared an empty data frame near the top of my file with a global scope: final_df = pd.DataFram… Read more Appending Dataframe To Empty Dataframe Is Not Working

I thought it should be the same, but for method decision_function() I get different results. And SV… Read more What Is The Difference Between Onevsrestclassifier With Svc And Svc With Decision_function_shape='ovr'?

I'm taking Kaggle's ML course and in their solution to an exercise they create a function t… Read more How Can It Be A Function That Uses Variables Which Are Not Arguments Of The Function?

I'm trying to install Scikit-Learn on a 64-bit Red Hat Enterprise 6.6 server on which I don'… Read more Undefined Symbols In Scipy And Scikit-learn On Redhat

I am writing custom transformers in scikit-learn in order to do specific operations on the array. F… Read more Custom Transformer Mixin With Featureunion In Scikit-learn

On this line from sklearn.model_selection import train_test_split I get error: ImportError: DLL… Read more Sklearn. Importerror: Dll Load Failed

I have a corpus consisting 3,500,000 text documents. I want to construct a tf-idf matrix of (3,500,… Read more How To Get Tf-idf Matrix Of A Large Size Corpus, Where Features Are Pre-specified?

I would like to use AgglomerativeClustering from sklearn but I am not able to import it. >>&… Read more Why Can't I Import The Agglomerativeclustering Class?

As noted in the answer to this post about feature scaling, some(all?) implementations of KMeans are… Read more Is Sklearn.cluster.kmeans Sensative To Data Point Order?

I am trying to build a sentiment analyzer using scikit-learn/pandas. Building and evaluating the mo… Read more Notfittederror: Tfidfvectorizer - Vocabulary Wasn't Fitted

I would like to use the inverse_transform function for LabelEncoder on multiple columns. This is th… Read more How To Reverse Label Encoder From Sklearn For Multiple Columns?

I'm using cross-validation to evaluate the performance of a classifier with scikit-learn and I … Read more Plotting Precision-recall Curve When Using Cross-validation In Scikit-learn

I am normalizing my text input before running MultinomialNB in sklearn like this: vectorizer = Tfid… Read more Dealing With Negative Values In Sklearn Multinomialnb

I'm trying to figure out how to unscale my data (presumably using inverse_transform) for predic… Read more How To Inverse Transform Regression Predictions After Lasso And Robustscalar?