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Showing posts with the label Scikit Learn

Confusion Matrix And Classification Report Of Stratifiedkfold

I am using StratifiedKFold to checking the performance of my classifier. I have two classes and I t… Read more Confusion Matrix And Classification Report Of Stratifiedkfold

How To Get Coefficients Of Multinomial Logistic Regression?

I need to calculate coefficients of a multiple logistic regression using sklearn: X = x1 x… Read more How To Get Coefficients Of Multinomial Logistic Regression?

Sklearn Logistic Regression Valueerror: X Has 42 Features Per Sample; Expecting 1423

I'm stuck trying to fix an issue. Here is what I'm trying to do : I'd like to predict m… Read more Sklearn Logistic Regression Valueerror: X Has 42 Features Per Sample; Expecting 1423

No Module Named Numpy_pickle When Executing Script Under A Different User

I have a python script that uses sklearn joblib to load a persistent model and perform prediction. … Read more No Module Named Numpy_pickle When Executing Script Under A Different User

Confusionmatrixdisplay (scikit-learn) Plot Labels Out Of Range

The following code plots a confusion matrix: from sklearn.metrics import ConfusionMatrixDisplay co… Read more Confusionmatrixdisplay (scikit-learn) Plot Labels Out Of Range

Coverting Back One Hot Encoded Results Back To Single Column In Python

I was doing Multi-class Classification using Keras.It contained 5 classes of Output. I converted th… Read more Coverting Back One Hot Encoded Results Back To Single Column In Python

Specific Number Of Test/train Size For Each Class In Sklearn

Data: import pandas as pd data = pd.DataFrame({'classes':[1,1,1,2,2,2,2],'b':[3,4,5… Read more Specific Number Of Test/train Size For Each Class In Sklearn

Strange Error During Conversion From Panda Dataframe To Numpy Array

I have a pandas dataframe with two columns: 'review'(text) and 'sentiment'(1/0) X_t… Read more Strange Error During Conversion From Panda Dataframe To Numpy Array

Reusing Model Fitted By Cross_val_score In Sklearn Using Joblib

I created the following function in python: def cross_validate(algorithms, data, labels, cv=4, n_jo… Read more Reusing Model Fitted By Cross_val_score In Sklearn Using Joblib

Memory Efficient Way To Split Large Numpy Array Into Train And Test

I have a large numpy array and when I run scikit learn's train_test_split to split the array in… Read more Memory Efficient Way To Split Large Numpy Array Into Train And Test

Python Memoryerror When Doing Fitting With Scikit-learn

I am running Python 2.7 (64-bit) on a Windows 8 64-bit system with 24GB memory. When doing the fitt… Read more Python Memoryerror When Doing Fitting With Scikit-learn

Valueerror: Dimension Mismatch

I use SciPy and scikit-learn to train and apply a Multinomial Naive Bayes Classifier for binary tex… Read more Valueerror: Dimension Mismatch

How To Add A Feature To A Vectorized Data Set?

I want to write a Naive Base text classificator. Because sklearn does not accept 'text form… Read more How To Add A Feature To A Vectorized Data Set?

Windows Universal Apps: Call Python Method From C#

I have a .py file I want to call and get the value it returns in my App. My main intention is to us… Read more Windows Universal Apps: Call Python Method From C#

Logits And Labels Mismatch In Tensorflow

there is a mismatch between the logits and lables in the Tensorflow after one hot encoding. And my… Read more Logits And Labels Mismatch In Tensorflow

Python Scikit Learn Pca.explained_variance_ratio_ Cutoff

When choosing the number of principal components (k), we choose k to be the smallest value so that … Read more Python Scikit Learn Pca.explained_variance_ratio_ Cutoff

Keras/scikit-learn: Using Fit_generator() With Cross Validation

Is it possible to use Keras's scikit-learn API together with fit_generator() method? Or use ano… Read more Keras/scikit-learn: Using Fit_generator() With Cross Validation

How To Specify The Prior Probability For Scikit-learn's Naive Bayes

I'm using the scikit-learn machine learning library (Python) for a machine learning project. On… Read more How To Specify The Prior Probability For Scikit-learn's Naive Bayes

How To Get Both Mse And R2 From A Sklearn Gridsearchcv?

I can use a GridSearchCV on a pipeline and specify scoring to either be 'MSE' or 'R2… Read more How To Get Both Mse And R2 From A Sklearn Gridsearchcv?

Clustering Uni-variate Time Series Using Sklearn

I have a panda DataFrame from which, i would like to do clustering for each columns. I am using skl… Read more Clustering Uni-variate Time Series Using Sklearn