コード例 #1
0
    def query_for_split_decision(self, inds1, inds2, vectorizer, vectors, vector_names):
        print display_vector_index_details(inds1, vectors, vector_names, vectorizer)
        print display_vector_index_details(inds2, vectors, vector_names, vectorizer)

        print "Overlap:"
        print display_shared_vector_indeces_details([inds1, inds2], vectors, vector_names, vectorizer)
        response = raw_input("Should {0} and {1} be in the same cluster? (Y/N)".format(vector_names[inds1], vector_names[inds2]))
        if response.upper() == "Y" or response.upper() == "YES":
            return False   # If users think the two should be in one cluster, we don't split, so return False
        if response.upper() == "N" or response.upper() == "NO":
            return True    # vice versa
コード例 #2
0
transformed_vectors = pca.fit_transform(vectors)
plot_color = np.array(['#636363'] * n_samples)
markers = np.array(["circle"] * n_samples)
source = ColumnDataSource(
    dict(
        x=clusteringnmap.interactive_state._reduced_vectors[:, 0],
        y=clusteringnmap.interactive_state._reduced_vectors[:, 1],
        color=plot_color,
        size=np.ones(n_samples) * 15,
        marker=markers,
        alpha=np.ones(n_samples) * 0.6,
        ip=clusteringnmap.interactive_state._vector_names,
        features=[
            display_vector_index_details(
                index,
                clusteringnmap.interactive_state._vectors,
                clusteringnmap.interactive_state._vector_names,
                clusteringnmap.interactive_state._vectorizer
            ) for index in xrange(len(clusteringnmap.interactive_state._vector_names))
        ],
    )
)

# hover over tool, define what to display when hovering over a point
hover = HoverTool(
    tooltips="""
            <div style="font-size:10px;max-width: 640px; border-width:0; background:#2f2f2f; color:rgb(256,256,256); overflow-x: auto;">
            <div>
                <span style="font-size: 17px; font-weight: bold;">@ip</span>
                <span style="font-size: 15px; color: #966;">($x, $y)</span>
            </div>
            <div>
コード例 #3
0
pca = PCA(n_components=2)
transformed_vectors = pca.fit_transform(vectors)
plot_color = np.array(['#636363'] * n_samples)
markers = np.array(["circle"] * n_samples)
source = ColumnDataSource(
    dict(
        x=clusteringnmap.interactive_state._reduced_vectors[:, 0],
        y=clusteringnmap.interactive_state._reduced_vectors[:, 1],
        color=plot_color,
        size=np.ones(n_samples) * 15,
        marker=markers,
        alpha=np.ones(n_samples) * 0.6,
        ip=clusteringnmap.interactive_state._vector_names,
        features=[
            display_vector_index_details(
                index, clusteringnmap.interactive_state._vectors,
                clusteringnmap.interactive_state._vector_names,
                clusteringnmap.interactive_state._vectorizer)
            for index in xrange(
                len(clusteringnmap.interactive_state._vector_names))
        ],
    ))

# hover over tool, define what to display when hovering over a point
hover = HoverTool(tooltips="""
            <div style="font-size:10px;max-width: 640px; border-width:0; background:#2f2f2f; color:rgb(256,256,256); overflow-x: auto;">
            <div>
                <span style="font-size: 17px; font-weight: bold;">@ip</span>
                <span style="font-size: 15px; color: #966;">($x, $y)</span>
            </div>
            <div>
            <span><div id="feature-data-$index" style="display: none;">@features</div>