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Build error
test: Remove coercion to str from plotting function and joining keywords to get single string
Browse files
app.py
CHANGED
@@ -98,8 +98,7 @@ def draw_interactive_scatter_plot(
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values_color_set = sorted(values_color)
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values_list = values.astype(str).tolist()
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values_set = sorted(values_list)
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-
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source = ColumnDataSource(data=dict(x=xs, y=ys, text=texts, label=values_list, original_label=labels_list))
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hover = HoverTool(tooltips=[(text_column, "@text{safe}"), (label_column, "@original_label")])
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n_colors = len(set(values_color_set))
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if n_colors not in Pallete:
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@@ -158,6 +157,7 @@ def generate_plot(
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most_descriptive = np.argmax(cluster_to_words_similarities)
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cluster_to_words_similarities = np.delete(cluster_to_words_similarities, most_descriptive)
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cluster_keyword[label].append(cluster_words[most_descriptive])
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encoded_labels_keywords = [cluster_keyword[encoded_label] for encoded_label in encoded_labels]
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embeddings_2d = get_tsne_embeddings(embeddings)
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plot = draw_interactive_scatter_plot(
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values_color_set = sorted(values_color)
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values_list = values.astype(str).tolist()
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values_set = sorted(values_list)
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+
source = ColumnDataSource(data=dict(x=xs, y=ys, text=texts, label=values_list, original_label=labels))
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hover = HoverTool(tooltips=[(text_column, "@text{safe}"), (label_column, "@original_label")])
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n_colors = len(set(values_color_set))
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if n_colors not in Pallete:
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most_descriptive = np.argmax(cluster_to_words_similarities)
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cluster_to_words_similarities = np.delete(cluster_to_words_similarities, most_descriptive)
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cluster_keyword[label].append(cluster_words[most_descriptive])
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+
cluster_keyword[label] = ', '.join(cluster_keyword[label])
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encoded_labels_keywords = [cluster_keyword[encoded_label] for encoded_label in encoded_labels]
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embeddings_2d = get_tsne_embeddings(embeddings)
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plot = draw_interactive_scatter_plot(
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