Category : visualization

I used a tutorial for analyzing a bigger corpus of academic articles, and ended up with LdaMallet model. ldamallet = gensim.models.wrappers.LdaMallet(mallet_path, corpus=corpus, num_topics=10, id2word=id2word) I visualized it with pyLDAvis, which provided very nice results in HTML form. from gensim.models.ldamodel import LdaModel def convertldaMalletToldaGen(mallet_model): model_gensim = LdaModel( id2word=mallet_model.id2word, num_topics=mallet_model.num_topics, alpha=mallet_model.alpha) # original function has ‘eta=0’ argument ..

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I have a code, I need to visualize the output of the decision tree using GraphViz in Python. 10 fold cross-validation is employed for getting the evaluation metrics that are quite adequate. Just need guide for graphviz import pandas as pd from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score from sklearn.preprocessing import StandardScaler, LabelEncoder from ..

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I am trying to draw jointplot with seaborn but I am not able to do the following: Change the scale to log-scale (similar to the way to do this in matplotlib ax.set_yscale(‘log’)) on both axes of the marginal histograms. Display the vertical scale on both of the marginal histograms. I attempted to do the following ..

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