[python] sklearn plot confusion matrix with labels

    from sklearn.metrics import confusion_matrix
    import seaborn as sns
    import matplotlib.pyplot as plt
    model.fit(train_x, train_y,validation_split = 0.1, epochs=50, batch_size=4)
    y_pred=model.predict(test_x,batch_size=15)
    cm =confusion_matrix(test_y.argmax(axis=1), y_pred.argmax(axis=1))  
    index = ['neutral','happy','sad']  
    columns = ['neutral','happy','sad']  
    cm_df = pd.DataFrame(cm,columns,index)                      
    plt.figure(figsize=(10,6))  
    sns.heatmap(cm_df, annot=True)

Confusion matrix

Examples related to python

programming a servo thru a barometer Is there a way to view two blocks of code from the same file simultaneously in Sublime Text? python variable NameError Why my regexp for hyphenated words doesn't work? Comparing a variable with a string python not working when redirecting from bash script is it possible to add colors to python output? Get Public URL for File - Google Cloud Storage - App Engine (Python) Real time face detection OpenCV, Python xlrd.biffh.XLRDError: Excel xlsx file; not supported Could not load dynamic library 'cudart64_101.dll' on tensorflow CPU-only installation

Examples related to matplotlib

"UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure." when plotting figure with pyplot on Pycharm How to increase image size of pandas.DataFrame.plot in jupyter notebook? How to create a stacked bar chart for my DataFrame using seaborn? How to display multiple images in one figure correctly? Edit seaborn legend How to hide axes and gridlines in Matplotlib (python) How to set x axis values in matplotlib python? How to specify legend position in matplotlib in graph coordinates Python "TypeError: unhashable type: 'slice'" for encoding categorical data Seaborn Barplot - Displaying Values

Examples related to scikit-learn

LabelEncoder: TypeError: '>' not supported between instances of 'float' and 'str' UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples scikit-learn random state in splitting dataset LogisticRegression: Unknown label type: 'continuous' using sklearn in python Can anyone explain me StandardScaler? ImportError: No module named model_selection How to split data into 3 sets (train, validation and test)? How to convert a Scikit-learn dataset to a Pandas dataset? Accuracy Score ValueError: Can't Handle mix of binary and continuous target How can I plot a confusion matrix?