Running TSNE

mytsne.py

# Import TSNE
from sklearn.manifold import TSNE


def run_tsne(samples):
    # Create a TSNE instance: model
    model = TSNE(learning_rate=200)

    # Apply fit_transform to samples: tsne_features
    tsne_features = model.fit_transform(samples)

    # Select the 0th feature: xs
    xs = tsne_features[:,0]

    # Select the 1st feature: ys
    ys = tsne_features[:,1]

    # Scatter plot, coloring by variety_numbers
    # plt.scatter(xs,ys,c=labels)
    # plt.show()